diff --git a/docs/algorithm/formula_recognition/algorithm_rec_can.en.md b/docs/algorithm/formula_recognition/algorithm_rec_can.en.md index 9683c183d5..56b5029685 100644 --- a/docs/algorithm/formula_recognition/algorithm_rec_can.en.md +++ b/docs/algorithm/formula_recognition/algorithm_rec_can.en.md @@ -13,7 +13,7 @@ Using CROHME handwrittem mathematical expression recognition datasets for traini |Model|Backbone|config|exprate|Download link| | --- | --- | --- | --- | --- | -|CAN|DenseNet|[rec_d28_can.yml](../../configs/rec/rec_d28_can.yml)|51.72%|[trained model](https://paddleocr.bj.bcebos.com/contribution/rec_d28_can_train.tar)| +|CAN|DenseNet|[rec_d28_can.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_d28_can.yml)|51.72%|[trained model](https://paddleocr.bj.bcebos.com/contribution/rec_d28_can_train.tar)| ## 2. Environment diff --git a/docs/algorithm/formula_recognition/algorithm_rec_can.md b/docs/algorithm/formula_recognition/algorithm_rec_can.md index 6067fd9b26..2678a5ac11 100644 --- a/docs/algorithm/formula_recognition/algorithm_rec_can.md +++ b/docs/algorithm/formula_recognition/algorithm_rec_can.md @@ -16,7 +16,7 @@ comments: true |模型 |骨干网络|配置文件|ExpRate|下载链接| | ----- | ----- | ----- | ----- | ----- | -|CAN|DenseNet|[rec_d28_can.yml](../../configs/rec/rec_d28_can.yml)|51.72%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_d28_can_train.tar)| +|CAN|DenseNet|[rec_d28_can.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_d28_can.yml)|51.72%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_d28_can_train.tar)| ## 2. 环境配置 @@ -26,7 +26,7 @@ comments: true ### 3.1 模型训练 -请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`CAN`识别模型时需要**更换配置文件**为`CAN`的[配置文件](../../configs/rec/rec_d28_can.yml)。 +请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`CAN`识别模型时需要**更换配置文件**为`CAN`的[配置文件](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_d28_can.yml)。 #### 启动训练 diff --git a/docs/algorithm/kie/algorithm_kie_layoutxlm.en.md b/docs/algorithm/kie/algorithm_kie_layoutxlm.en.md index a19a9f23b1..1e56c90abe 100644 --- a/docs/algorithm/kie/algorithm_kie_layoutxlm.en.md +++ b/docs/algorithm/kie/algorithm_kie_layoutxlm.en.md @@ -18,8 +18,8 @@ On XFUND_zh dataset, the algorithm reproduction Hmean is as follows. |Model|Backbone|Task |Cnnfig|Hmean|Download link| | --- | --- |--|--- | --- | --- | -|LayoutXLM|LayoutXLM-base|SER |[ser_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)/[inference model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh_infer.tar)| -|LayoutXLM|LayoutXLM-base|RE | [re_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)/[inference model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh_infer.tar)| +|LayoutXLM|LayoutXLM-base|SER |[ser_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)/[inference model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh_infer.tar)| +|LayoutXLM|LayoutXLM-base|RE | [re_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)/[inference model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh_infer.tar)| ## 2. Environment diff --git a/docs/algorithm/kie/algorithm_kie_layoutxlm.md b/docs/algorithm/kie/algorithm_kie_layoutxlm.md index 225b3c58cd..85e1285984 100644 --- a/docs/algorithm/kie/algorithm_kie_layoutxlm.md +++ b/docs/algorithm/kie/algorithm_kie_layoutxlm.md @@ -18,8 +18,8 @@ comments: true |模型|骨干网络|任务|配置文件|hmean|下载链接| | --- | --- |--|--- | --- | --- | -|LayoutXLM|LayoutXLM-base|SER |[ser_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)/[推理模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh_infer.tar)| -|LayoutXLM|LayoutXLM-base|RE | [re_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)/[推理模型](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh_infer.tar)| +|LayoutXLM|LayoutXLM-base|SER |[ser_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)/[推理模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh_infer.tar)| +|LayoutXLM|LayoutXLM-base|RE | [re_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)/[推理模型](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh_infer.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/kie/algorithm_kie_sdmgr.en.md b/docs/algorithm/kie/algorithm_kie_sdmgr.en.md index 2eb7139709..55f17d000d 100644 --- a/docs/algorithm/kie/algorithm_kie_sdmgr.en.md +++ b/docs/algorithm/kie/algorithm_kie_sdmgr.en.md @@ -18,7 +18,7 @@ On wildreceipt dataset, the algorithm reproduction Hmean is as follows. |Model|Backbone |Cnnfig|Hmean|Download link| | --- | --- | --- | --- | --- | -|SDMGR|VGG6|[configs/kie/sdmgr/kie_unet_sdmgr.yml](../../configs/kie/sdmgr/kie_unet_sdmgr.yml)|86.70%|[trained model]( https://paddleocr.bj.bcebos.com/dygraph_v2.1/kie/kie_vgg16.tar)/[inference model(coming soon)]()| +|SDMGR|VGG6|[configs/kie/sdmgr/kie_unet_sdmgr.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/sdmgr/kie_unet_sdmgr.yml)|86.70%|[trained model]( https://paddleocr.bj.bcebos.com/dygraph_v2.1/kie/kie_vgg16.tar)/[inference model(coming soon)]()| ## 2. 环境配置 diff --git a/docs/algorithm/kie/algorithm_kie_sdmgr.md b/docs/algorithm/kie/algorithm_kie_sdmgr.md index 04ac586cec..0b296513ab 100644 --- a/docs/algorithm/kie/algorithm_kie_sdmgr.md +++ b/docs/algorithm/kie/algorithm_kie_sdmgr.md @@ -19,7 +19,7 @@ comments: true |模型|骨干网络|配置文件|hmean|下载链接| | --- | --- | --- | --- | --- | -|SDMGR|VGG6|[configs/kie/sdmgr/kie_unet_sdmgr.yml](../../configs/kie/sdmgr/kie_unet_sdmgr.yml)|86.70%|[训练模型]( https://paddleocr.bj.bcebos.com/dygraph_v2.1/kie/kie_vgg16.tar)/[推理模型(coming soon)]()| +|SDMGR|VGG6|[configs/kie/sdmgr/kie_unet_sdmgr.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/sdmgr/kie_unet_sdmgr.yml)|86.70%|[训练模型]( https://paddleocr.bj.bcebos.com/dygraph_v2.1/kie/kie_vgg16.tar)/[推理模型(coming soon)]()| ## 2. 环境配置 diff --git a/docs/algorithm/kie/algorithm_kie_vi_layoutxlm.en.md b/docs/algorithm/kie/algorithm_kie_vi_layoutxlm.en.md index 50b3c8e7ea..3ba513dfe8 100644 --- a/docs/algorithm/kie/algorithm_kie_vi_layoutxlm.en.md +++ b/docs/algorithm/kie/algorithm_kie_vi_layoutxlm.en.md @@ -12,8 +12,8 @@ On XFUND_zh dataset, the algorithm reproduction Hmean is as follows. |Model|Backbone|Task |Config|Hmean|Download link| | --- | --- |---| --- | --- | --- | -|VI-LayoutXLM |VI-LayoutXLM-base | SER |[ser_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|93.19%|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)/[inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_infer.tar)| -|VI-LayoutXLM |VI-LayoutXLM-base |RE | [re_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|83.92%|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)/[inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_infer.tar)| +|VI-LayoutXLM |VI-LayoutXLM-base | SER |[ser_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|93.19%|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)/[inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_infer.tar)| +|VI-LayoutXLM |VI-LayoutXLM-base |RE | [re_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|83.92%|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)/[inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_infer.tar)| ## 2. Environment diff --git a/docs/algorithm/kie/algorithm_kie_vi_layoutxlm.md b/docs/algorithm/kie/algorithm_kie_vi_layoutxlm.md index 859de15834..8a034db478 100644 --- a/docs/algorithm/kie/algorithm_kie_vi_layoutxlm.md +++ b/docs/algorithm/kie/algorithm_kie_vi_layoutxlm.md @@ -13,8 +13,8 @@ VI-LayoutXLM基于LayoutXLM进行改进，在下游任务训练过程中，去 |模型|骨干网络|任务|配置文件|hmean|下载链接| | --- | --- |---| --- | --- | --- | -|VI-LayoutXLM |VI-LayoutXLM-base | SER |[ser_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|93.19%|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)/[推理模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_infer.tar)| -|VI-LayoutXLM |VI-LayoutXLM-base |RE | [re_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|83.92%|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)/[推理模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_infer.tar)| +|VI-LayoutXLM |VI-LayoutXLM-base | SER |[ser_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|93.19%|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)/[推理模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_infer.tar)| +|VI-LayoutXLM |VI-LayoutXLM-base |RE | [re_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|83.92%|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)/[推理模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_infer.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/overview.en.md b/docs/algorithm/overview.en.md index fc87837b55..e7551214ce 100755 --- a/docs/algorithm/overview.en.md +++ b/docs/algorithm/overview.en.md @@ -116,8 +116,8 @@ On the TextZoom public dataset, the effect of the algorithm is as follows: |Model|Backbone|PSNR_Avg|SSIM_Avg|Config|Download link| |---|---|---|---|---|---| -|Text Gestalt|tsrn|19.28|0.6560| [configs/sr/sr_tsrn_transformer_strock.yml](../../configs/sr/sr_tsrn_transformer_strock.yml)|[trained model](https://paddleocr.bj.bcebos.com/sr_tsrn_transformer_strock_train.tar)| -|Text Telescope|tbsrn|21.56|0.7411| [configs/sr/sr_telescope.yml](../../configs/sr/sr_telescope.yml)|[trained model](https://paddleocr.bj.bcebos.com/contribution/sr_telescope_train.tar)| +|Text Gestalt|tsrn|19.28|0.6560| [configs/sr/sr_tsrn_transformer_strock.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/sr/sr_tsrn_transformer_strock.yml)|[trained model](https://paddleocr.bj.bcebos.com/sr_tsrn_transformer_strock_train.tar)| +|Text Telescope|tbsrn|21.56|0.7411| [configs/sr/sr_telescope.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/sr/sr_telescope.yml)|[trained model](https://paddleocr.bj.bcebos.com/contribution/sr_telescope_train.tar)| ### 1.4 Formula Recognition Algorithm @@ -130,7 +130,7 @@ On the CROHME handwritten formula dataset, the effect of the algorithm is as fol |Model |Backbone|Config|ExpRate|Download link| | ----- | ----- | ----- | ----- | ----- | -|CAN|DenseNet|[rec_d28_can.yml](../../configs/rec/rec_d28_can.yml)|51.72%|[trained model](https://paddleocr.bj.bcebos.com/contribution/rec_d28_can_train.tar)| +|CAN|DenseNet|[rec_d28_can.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_d28_can.yml)|51.72%|[trained model](https://paddleocr.bj.bcebos.com/contribution/rec_d28_can_train.tar)| ## 2. End-to-end OCR Algorithms @@ -148,7 +148,7 @@ On the PubTabNet dataset, the algorithm result is as follows: |Model|Backbone|Config|Acc|Download link| |---|---|---|---|---| -|TableMaster|TableResNetExtra|[configs/table/table_master.yml](../../configs/table/table_master.yml)|77.47%|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_train.tar) / [inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_infer.tar)| +|TableMaster|TableResNetExtra|[configs/table/table_master.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/table/table_master.yml)|77.47%|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_train.tar) / [inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_infer.tar)| ## 4. Key Information Extraction Algorithms @@ -164,16 +164,16 @@ On wildreceipt dataset, the algorithm result is as follows: |Model|Backbone|Config|Hmean|Download link| | --- | --- | --- | --- | --- | -|SDMGR|VGG6|[configs/kie/sdmgr/kie_unet_sdmgr.yml](../../configs/kie/sdmgr/kie_unet_sdmgr.yml)|86.70%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/kie/kie_vgg16.tar)| +|SDMGR|VGG6|[configs/kie/sdmgr/kie_unet_sdmgr.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/sdmgr/kie_unet_sdmgr.yml)|86.70%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/kie/kie_vgg16.tar)| On XFUND_zh dataset, the algorithm result is as follows: |Model|Backbone|Task|Config|Hmean|Download link| | --- | --- | --- | --- | --- | --- | -|VI-LayoutXLM| VI-LayoutXLM-base | SER | [ser_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|**93.19%**|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)| -|LayoutXLM| LayoutXLM-base | SER | [ser_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)| -|LayoutLM| LayoutLM-base | SER | [ser_layoutlm_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutlm_xfund_zh.yml)|77.31%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLM_xfun_zh.tar)| -|LayoutLMv2| LayoutLMv2-base | SER | [ser_layoutlmv2_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutlmv2_xfund_zh.yml)|85.44%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLMv2_xfun_zh.tar)| -|VI-LayoutXLM| VI-LayoutXLM-base | RE | [re_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|**83.92%**|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)| -|LayoutXLM| LayoutXLM-base | RE | [re_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)| -|LayoutLMv2| LayoutLMv2-base | RE | [re_layoutlmv2_xfund_zh.yml](../../configs/kie/layoutlm_series/re_layoutlmv2_xfund_zh.yml)|67.77%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutLMv2_xfun_zh.tar)| +|VI-LayoutXLM| VI-LayoutXLM-base | SER | [ser_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|**93.19%**|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)| +|LayoutXLM| LayoutXLM-base | SER | [ser_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)| +|LayoutLM| LayoutLM-base | SER | [ser_layoutlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutlm_xfund_zh.yml)|77.31%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLM_xfun_zh.tar)| +|LayoutLMv2| LayoutLMv2-base | SER | [ser_layoutlmv2_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutlmv2_xfund_zh.yml)|85.44%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLMv2_xfun_zh.tar)| +|VI-LayoutXLM| VI-LayoutXLM-base | RE | [re_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|**83.92%**|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)| +|LayoutXLM| LayoutXLM-base | RE | [re_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)| +|LayoutLMv2| LayoutLMv2-base | RE | [re_layoutlmv2_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/re_layoutlmv2_xfund_zh.yml)|67.77%|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutLMv2_xfun_zh.tar)| diff --git a/docs/algorithm/overview.md b/docs/algorithm/overview.md index aab47265df..3c6cff9b13 100755 --- a/docs/algorithm/overview.md +++ b/docs/algorithm/overview.md @@ -117,8 +117,8 @@ PaddleOCR将**持续新增**支持OCR领域前沿算法与模型，**欢迎广 |模型|骨干网络|PSNR_Avg|SSIM_Avg|配置文件|下载链接| |---|---|---|---|---|---| -|Text Gestalt|tsrn|19.28|0.6560| [configs/sr/sr_tsrn_transformer_strock.yml](../../configs/sr/sr_tsrn_transformer_strock.yml)|[训练模型](https://paddleocr.bj.bcebos.com/sr_tsrn_transformer_strock_train.tar)| -|Text Telescope|tbsrn|21.56|0.7411| [configs/sr/sr_telescope.yml](../../configs/sr/sr_telescope.yml)|[训练模型](https://paddleocr.bj.bcebos.com/contribution/sr_telescope_train.tar)| +|Text Gestalt|tsrn|19.28|0.6560| [configs/sr/sr_tsrn_transformer_strock.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/sr/sr_tsrn_transformer_strock.yml)|[训练模型](https://paddleocr.bj.bcebos.com/sr_tsrn_transformer_strock_train.tar)| +|Text Telescope|tbsrn|21.56|0.7411| [configs/sr/sr_telescope.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/sr/sr_telescope.yml)|[训练模型](https://paddleocr.bj.bcebos.com/contribution/sr_telescope_train.tar)| ### 1.4 公式识别算法 @@ -131,7 +131,7 @@ PaddleOCR将**持续新增**支持OCR领域前沿算法与模型，**欢迎广 |模型 |骨干网络|配置文件|ExpRate|下载链接| | ----- | ----- | ----- | ----- | ----- | -|CAN|DenseNet|[rec_d28_can.yml](../../configs/rec/rec_d28_can.yml)|51.72%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_d28_can_train.tar)| +|CAN|DenseNet|[rec_d28_can.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_d28_can.yml)|51.72%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_d28_can_train.tar)| ## 2. 端到端算法 @@ -149,7 +149,7 @@ PaddleOCR将**持续新增**支持OCR领域前沿算法与模型，**欢迎广 |模型|骨干网络|配置文件|acc|下载链接| |---|---|---|---|---| -|TableMaster|TableResNetExtra|[configs/table/table_master.yml](../../configs/table/table_master.yml)|77.47%|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_train.tar) / [推理模型](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_infer.tar)| +|TableMaster|TableResNetExtra|[configs/table/table_master.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/table/table_master.yml)|77.47%|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_train.tar) / [推理模型](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_infer.tar)| ## 4. 关键信息抽取算法 @@ -165,16 +165,16 @@ PaddleOCR将**持续新增**支持OCR领域前沿算法与模型，**欢迎广 |模型|骨干网络|配置文件|hmean|下载链接| | --- | --- | --- | --- | --- | -|SDMGR|VGG6|[configs/kie/sdmgr/kie_unet_sdmgr.yml](../../configs/kie/sdmgr/kie_unet_sdmgr.yml)|86.70%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/kie/kie_vgg16.tar)| +|SDMGR|VGG6|[configs/kie/sdmgr/kie_unet_sdmgr.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/sdmgr/kie_unet_sdmgr.yml)|86.70%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/kie/kie_vgg16.tar)| 在XFUND_zh公开数据集上，算法效果如下： |模型|骨干网络|任务|配置文件|hmean|下载链接| | --- | --- | --- | --- | --- | --- | -|VI-LayoutXLM| VI-LayoutXLM-base | SER | [ser_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|**93.19%**|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)| -|LayoutXLM| LayoutXLM-base | SER | [ser_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)| -|LayoutLM| LayoutLM-base | SER | [ser_layoutlm_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutlm_xfund_zh.yml)|77.31%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLM_xfun_zh.tar)| -|LayoutLMv2| LayoutLMv2-base | SER | [ser_layoutlmv2_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutlmv2_xfund_zh.yml)|85.44%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLMv2_xfun_zh.tar)| -|VI-LayoutXLM| VI-LayoutXLM-base | RE | [re_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|**83.92%**|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)| -|LayoutXLM| LayoutXLM-base | RE | [re_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)| -|LayoutLMv2| LayoutLMv2-base | RE | [re_layoutlmv2_xfund_zh.yml](../../configs/kie/layoutlm_series/re_layoutlmv2_xfund_zh.yml)|67.77%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutLMv2_xfun_zh.tar)| +|VI-LayoutXLM| VI-LayoutXLM-base | SER | [ser_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|**93.19%**|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)| +|LayoutXLM| LayoutXLM-base | SER | [ser_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)| +|LayoutLM| LayoutLM-base | SER | [ser_layoutlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutlm_xfund_zh.yml)|77.31%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLM_xfun_zh.tar)| +|LayoutLMv2| LayoutLMv2-base | SER | [ser_layoutlmv2_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutlmv2_xfund_zh.yml)|85.44%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLMv2_xfun_zh.tar)| +|VI-LayoutXLM| VI-LayoutXLM-base | RE | [re_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|**83.92%**|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)| +|LayoutXLM| LayoutXLM-base | RE | [re_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)| +|LayoutLMv2| LayoutLMv2-base | RE | [re_layoutlmv2_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/re_layoutlmv2_xfund_zh.yml)|67.77%|[训练模型](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutLMv2_xfun_zh.tar)| diff --git a/docs/algorithm/super_resolution/algorithm_sr_gestalt.en.md b/docs/algorithm/super_resolution/algorithm_sr_gestalt.en.md index 7f29b4a943..e0a4780d56 100644 --- a/docs/algorithm/super_resolution/algorithm_sr_gestalt.en.md +++ b/docs/algorithm/super_resolution/algorithm_sr_gestalt.en.md @@ -15,7 +15,7 @@ Referring to the [FudanOCR](https://github.com/FudanVI/FudanOCR/tree/main/text-g |Model | Backbone|config|Acc|Download link| |---|---|---|---|---| -|Text Gestalt|tsrn|19.28|0.6560| [configs/sr/sr_tsrn_transformer_strock.yml](../../configs/sr/sr_tsrn_transformer_strock.yml)|[train model](https://paddleocr.bj.bcebos.com/sr_tsrn_transformer_strock_train.tar)| +|Text Gestalt|tsrn|19.28|0.6560| [configs/sr/sr_tsrn_transformer_strock.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/sr/sr_tsrn_transformer_strock.yml)|[train model](https://paddleocr.bj.bcebos.com/sr_tsrn_transformer_strock_train.tar)| ## 2. Environment diff --git a/docs/algorithm/super_resolution/algorithm_sr_gestalt.md b/docs/algorithm/super_resolution/algorithm_sr_gestalt.md index 83c7004a6a..69532550d9 100644 --- a/docs/algorithm/super_resolution/algorithm_sr_gestalt.md +++ b/docs/algorithm/super_resolution/algorithm_sr_gestalt.md @@ -16,7 +16,7 @@ comments: true |模型|骨干网络|PSNR_Avg|SSIM_Avg|配置文件|下载链接| |---|---|---|---|---|---| -|Text Gestalt|tsrn|19.28|0.6560| [configs/sr/sr_tsrn_transformer_strock.yml](../../configs/sr/sr_tsrn_transformer_strock.yml)|[训练模型](https://paddleocr.bj.bcebos.com/sr_tsrn_transformer_strock_train.tar)| +|Text Gestalt|tsrn|19.28|0.6560| [configs/sr/sr_tsrn_transformer_strock.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/sr/sr_tsrn_transformer_strock.yml)|[训练模型](https://paddleocr.bj.bcebos.com/sr_tsrn_transformer_strock_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/super_resolution/algorithm_sr_telescope.en.md b/docs/algorithm/super_resolution/algorithm_sr_telescope.en.md index edfe3baeb0..41731681b2 100644 --- a/docs/algorithm/super_resolution/algorithm_sr_telescope.en.md +++ b/docs/algorithm/super_resolution/algorithm_sr_telescope.en.md @@ -15,7 +15,7 @@ Referring to the [FudanOCR](https://github.com/FudanVI/FudanOCR/tree/main/scene- |Model|Backbone|config|Acc|Download link| |---|---|---|---|---| -|Text Gestalt|tsrn|21.56|0.7411| [configs/sr/sr_telescope.yml](../../configs/sr/sr_telescope.yml)|[train model](https://paddleocr.bj.bcebos.com/contribution/sr_telescope_train.tar)| +|Text Gestalt|tsrn|21.56|0.7411| [configs/sr/sr_telescope.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/sr/sr_telescope.yml)|[train model](https://paddleocr.bj.bcebos.com/contribution/sr_telescope_train.tar)| The [TextZoom dataset](https://paddleocr.bj.bcebos.com/dataset/TextZoom.tar) comes from two superfraction data sets, RealSR and SR-RAW, both of which contain LR-HR pairs. TextZoom has 17367 pairs of training data and 4373 pairs of test data. diff --git a/docs/algorithm/super_resolution/algorithm_sr_telescope.md b/docs/algorithm/super_resolution/algorithm_sr_telescope.md index 5bb99b07fd..c9eae6df89 100644 --- a/docs/algorithm/super_resolution/algorithm_sr_telescope.md +++ b/docs/algorithm/super_resolution/algorithm_sr_telescope.md @@ -16,7 +16,7 @@ comments: true |模型|骨干网络|PSNR_Avg|SSIM_Avg|配置文件|下载链接| |---|---|---|---|---|---| -|Text Telescope|tbsrn|21.56|0.7411| [configs/sr/sr_telescope.yml](../../configs/sr/sr_telescope.yml)|[训练模型](https://paddleocr.bj.bcebos.com/contribution/sr_telescope_train.tar)| +|Text Telescope|tbsrn|21.56|0.7411| [configs/sr/sr_telescope.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/sr/sr_telescope.yml)|[训练模型](https://paddleocr.bj.bcebos.com/contribution/sr_telescope_train.tar)| [TextZoom数据集](https://paddleocr.bj.bcebos.com/dataset/TextZoom.tar) 来自两个超分数据集RealSR和SR-RAW，两个数据集都包含LR-HR对，TextZoom有17367对训数据和4373对测试数据。 diff --git a/docs/algorithm/table_recognition/algorithm_table_master.en.md b/docs/algorithm/table_recognition/algorithm_table_master.en.md index 77e8adeb09..6b8165fba9 100644 --- a/docs/algorithm/table_recognition/algorithm_table_master.en.md +++ b/docs/algorithm/table_recognition/algorithm_table_master.en.md @@ -17,7 +17,7 @@ On the PubTabNet table recognition public data set, the algorithm reproduction a |Model|Backbone|Cnnfig|Acc|Download link| | --- | --- | --- | --- | --- | -|TableMaster|TableResNetExtra|[configs/table/table_master.yml](../../configs/table/table_master.yml)|77.47%|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_train.tar)/[inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_infer.tar)| +|TableMaster|TableResNetExtra|[configs/table/table_master.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/table/table_master.yml)|77.47%|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_train.tar)/[inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_infer.tar)| ## 2. Environment diff --git a/docs/algorithm/table_recognition/algorithm_table_master.md b/docs/algorithm/table_recognition/algorithm_table_master.md index 7621d017f3..febb63d30d 100644 --- a/docs/algorithm/table_recognition/algorithm_table_master.md +++ b/docs/algorithm/table_recognition/algorithm_table_master.md @@ -17,7 +17,7 @@ comments: true |模型|骨干网络|配置文件|acc|下载链接| | --- | --- | --- | --- | --- | -|TableMaster|TableResNetExtra|[configs/table/table_master.yml](../../configs/table/table_master.yml)|77.47%|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_train.tar)/[推理模型](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_infer.tar)| +|TableMaster|TableResNetExtra|[configs/table/table_master.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/table/table_master.yml)|77.47%|[训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_train.tar)/[推理模型](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_infer.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_detection/algorithm_det_ct.en.md b/docs/algorithm/text_detection/algorithm_det_ct.en.md index 0181e17e25..643b6cc1af 100644 --- a/docs/algorithm/text_detection/algorithm_det_ct.en.md +++ b/docs/algorithm/text_detection/algorithm_det_ct.en.md @@ -16,7 +16,7 @@ On the Total-Text dataset, the text detection result is as follows: |Model|Backbone|Configuration|Precision|Recall|Hmean|Download| | --- | --- | --- | --- | --- | --- | --- | -|CT|ResNet18_vd|[configs/det/det_r18_vd_ct.yml](../../configs/det/det_r18_vd_ct.yml)|88.68%|81.70%|85.05%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r18_ct_train.tar)| +|CT|ResNet18_vd|[configs/det/det_r18_vd_ct.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r18_vd_ct.yml)|88.68%|81.70%|85.05%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r18_ct_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_detection/algorithm_det_ct.md b/docs/algorithm/text_detection/algorithm_det_ct.md index d55efb02c4..140708b579 100644 --- a/docs/algorithm/text_detection/algorithm_det_ct.md +++ b/docs/algorithm/text_detection/algorithm_det_ct.md @@ -16,7 +16,7 @@ comments: true |模型|骨干网络|配置文件|precision|recall|Hmean|下载链接| | --- | --- | --- | --- | --- | --- | --- | -|CT|ResNet18_vd|[configs/det/det_r18_vd_ct.yml](../../configs/det/det_r18_vd_ct.yml)|88.68%|81.70%|85.05%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r18_ct_train.tar)| +|CT|ResNet18_vd|[configs/det/det_r18_vd_ct.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r18_vd_ct.yml)|88.68%|81.70%|85.05%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r18_ct_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_detection/algorithm_det_db.en.md b/docs/algorithm/text_detection/algorithm_det_db.en.md index eb8e403e67..e9d02a68f9 100644 --- a/docs/algorithm/text_detection/algorithm_det_db.en.md +++ b/docs/algorithm/text_detection/algorithm_det_db.en.md @@ -19,15 +19,15 @@ On the ICDAR2015 dataset, the text detection result is as follows: |Model|Backbone|Configuration|Precision|Recall|Hmean|Download| | --- | --- | --- | --- | --- | --- | --- | -|DB|ResNet50_vd|[configs/det/det_r50_vd_db.yml](../../configs/det/det_r50_vd_db.yml)|86.41%|78.72%|82.38%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_db_v2.0_train.tar)| -|DB|MobileNetV3|[configs/det/det_mv3_db.yml](../../configs/det/det_mv3_db.yml)|77.29%|73.08%|75.12%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_db_v2.0_train.tar)| -|DB++|ResNet50|[configs/det/det_r50_db++_ic15.yml](../../configs/det/det_r50_db++_ic15.yml)|90.89%|82.66%|86.58%|[pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/ResNet50_dcn_asf_synthtext_pretrained.pdparams)/[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_db%2B%2B_icdar15_train.tar)| +|DB|ResNet50_vd|[configs/det/det_r50_vd_db.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_db.yml)|86.41%|78.72%|82.38%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_db_v2.0_train.tar)| +|DB|MobileNetV3|[configs/det/det_mv3_db.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_mv3_db.yml)|77.29%|73.08%|75.12%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_db_v2.0_train.tar)| +|DB++|ResNet50|[configs/det/det_r50_db++_ic15.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_db++_ic15.yml)|90.89%|82.66%|86.58%|[pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/ResNet50_dcn_asf_synthtext_pretrained.pdparams)/[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_db%2B%2B_icdar15_train.tar)| On the TD_TR dataset, the text detection result is as follows: |Model|Backbone|Configuration|Precision|Recall|Hmean|Download| | --- | --- | --- | --- | --- | --- | --- | -|DB++|ResNet50|[configs/det/det_r50_db++_td_tr.yml](../../configs/det/det_r50_db++_td_tr.yml)|92.92%|86.48%|89.58%|[pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/ResNet50_dcn_asf_synthtext_pretrained.pdparams)/[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_db%2B%2B_td_tr_train.tar)| +|DB++|ResNet50|[configs/det/det_r50_db++_td_tr.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_db++_td_tr.yml)|92.92%|86.48%|89.58%|[pretrained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/ResNet50_dcn_asf_synthtext_pretrained.pdparams)/[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_db%2B%2B_td_tr_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_detection/algorithm_det_db.md b/docs/algorithm/text_detection/algorithm_det_db.md index 3efcabda0b..6e41d4042d 100644 --- a/docs/algorithm/text_detection/algorithm_det_db.md +++ b/docs/algorithm/text_detection/algorithm_det_db.md @@ -20,15 +20,15 @@ comments: true |模型|骨干网络|配置文件|precision|recall|Hmean|下载链接| | --- | --- | --- | --- | --- | --- | --- | -|DB|ResNet50_vd|[configs/det/det_r50_vd_db.yml](../../configs/det/det_r50_vd_db.yml)|86.41%|78.72%|82.38%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_db_v2.0_train.tar)| -|DB|MobileNetV3|[configs/det/det_mv3_db.yml](../../configs/det/det_mv3_db.yml)|77.29%|73.08%|75.12%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_db_v2.0_train.tar)| -|DB++|ResNet50|[configs/det/det_r50_db++_icdar15.yml](../../configs/det/det_r50_db++_icdar15.yml)|90.89%|82.66%|86.58%|[合成数据预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/ResNet50_dcn_asf_synthtext_pretrained.pdparams)/[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_db%2B%2B_icdar15_train.tar)| +|DB|ResNet50_vd|[configs/det/det_r50_vd_db.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_db.yml)|86.41%|78.72%|82.38%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_db_v2.0_train.tar)| +|DB|MobileNetV3|[configs/det/det_mv3_db.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_mv3_db.yml)|77.29%|73.08%|75.12%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_db_v2.0_train.tar)| +|DB++|ResNet50|[configs/det/det_r50_db++_icdar15.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_db++_icdar15.yml)|90.89%|82.66%|86.58%|[合成数据预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/ResNet50_dcn_asf_synthtext_pretrained.pdparams)/[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_db%2B%2B_icdar15_train.tar)| 在TD_TR文本检测公开数据集上，算法复现效果如下： |模型|骨干网络|配置文件|precision|recall|Hmean|下载链接| | --- | --- | --- | --- | --- | --- | --- | -|DB++|ResNet50|[configs/det/det_r50_db++_td_tr.yml](../../configs/det/det_r50_db++_td_tr.yml)|92.92%|86.48%|89.58%|[合成数据预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/ResNet50_dcn_asf_synthtext_pretrained.pdparams)/[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_db%2B%2B_td_tr_train.tar)| +|DB++|ResNet50|[configs/det/det_r50_db++_td_tr.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_db++_td_tr.yml)|92.92%|86.48%|89.58%|[合成数据预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/ResNet50_dcn_asf_synthtext_pretrained.pdparams)/[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_db%2B%2B_td_tr_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_detection/algorithm_det_drrg.en.md b/docs/algorithm/text_detection/algorithm_det_drrg.en.md index 8949c0ce73..8bfc1f6db8 100644 --- a/docs/algorithm/text_detection/algorithm_det_drrg.en.md +++ b/docs/algorithm/text_detection/algorithm_det_drrg.en.md @@ -16,7 +16,7 @@ On the CTW1500 dataset, the text detection result is as follows: |Model|Backbone|Configuration|Precision|Recall|Hmean|Download| | --- | --- | --- | --- | --- | --- | --- | -| DRRG | ResNet50_vd | [configs/det/det_r50_drrg_ctw.yml](../../configs/det/det_r50_drrg_ctw.yml)| 89.92%|80.91%|85.18%|[trained model](https://paddleocr.bj.bcebos.com/contribution/det_r50_drrg_ctw_train.tar)| +| DRRG | ResNet50_vd | [configs/det/det_r50_drrg_ctw.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_drrg_ctw.yml)| 89.92%|80.91%|85.18%|[trained model](https://paddleocr.bj.bcebos.com/contribution/det_r50_drrg_ctw_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_detection/algorithm_det_drrg.md b/docs/algorithm/text_detection/algorithm_det_drrg.md index ab3b4aad51..9702f3b2a9 100644 --- a/docs/algorithm/text_detection/algorithm_det_drrg.md +++ b/docs/algorithm/text_detection/algorithm_det_drrg.md @@ -16,7 +16,7 @@ comments: true | 模型 |骨干网络|配置文件|precision|recall|Hmean|下载链接| |-----| --- | --- | --- | --- | --- | --- | -| DRRG | ResNet50_vd | [configs/det/det_r50_drrg_ctw.yml](../../configs/det/det_r50_drrg_ctw.yml)| 89.92%|80.91%|85.18%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/det_r50_drrg_ctw_train.tar)| +| DRRG | ResNet50_vd | [configs/det/det_r50_drrg_ctw.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_drrg_ctw.yml)| 89.92%|80.91%|85.18%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/det_r50_drrg_ctw_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_detection/algorithm_det_east.en.md b/docs/algorithm/text_detection/algorithm_det_east.en.md index 5a420fdfb1..cf738df840 100644 --- a/docs/algorithm/text_detection/algorithm_det_east.en.md +++ b/docs/algorithm/text_detection/algorithm_det_east.en.md @@ -16,8 +16,8 @@ On the ICDAR2015 dataset, the text detection result is as follows: |Model|Backbone|Configuration|Precision|Recall|Hmean|Download| | --- | --- | --- | --- | --- | --- | --- | -|EAST|ResNet50_vd| [det_r50_vd_east.yml](../../configs/det/det_r50_vd_east.yml)|88.71%| 81.36%| 84.88%| [model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_east_v2.0_train.tar)| -|EAST|MobileNetV3|[det_mv3_east.yml](../../configs/det/det_mv3_east.yml) | 78.20%| 79.10%| 78.65%| [model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_east_v2.0_train.tar)| +|EAST|ResNet50_vd| [det_r50_vd_east.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_east.yml)|88.71%| 81.36%| 84.88%| [model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_east_v2.0_train.tar)| +|EAST|MobileNetV3|[det_mv3_east.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_mv3_east.yml) | 78.20%| 79.10%| 78.65%| [model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_east_v2.0_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_detection/algorithm_det_east.md b/docs/algorithm/text_detection/algorithm_det_east.md index 01bca2dd16..e180227cff 100644 --- a/docs/algorithm/text_detection/algorithm_det_east.md +++ b/docs/algorithm/text_detection/algorithm_det_east.md @@ -16,8 +16,8 @@ comments: true |模型|骨干网络|配置文件|precision|recall|Hmean|下载链接| | --- | --- | --- | --- | --- | --- | --- | -|EAST|ResNet50_vd| [det_r50_vd_east.yml](../../configs/det/det_r50_vd_east.yml)|88.71%| 81.36%| 84.88%| [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_east_v2.0_train.tar)| -|EAST|MobileNetV3|[det_mv3_east.yml](../../configs/det/det_mv3_east.yml) | 78.20%| 79.10%| 78.65%| [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_east_v2.0_train.tar)| +|EAST|ResNet50_vd| [det_r50_vd_east.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_east.yml)|88.71%| 81.36%| 84.88%| [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_east_v2.0_train.tar)| +|EAST|MobileNetV3|[det_mv3_east.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_mv3_east.yml) | 78.20%| 79.10%| 78.65%| [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_east_v2.0_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_detection/algorithm_det_fcenet.en.md b/docs/algorithm/text_detection/algorithm_det_fcenet.en.md index 2231094d5b..75af24f0f4 100644 --- a/docs/algorithm/text_detection/algorithm_det_fcenet.en.md +++ b/docs/algorithm/text_detection/algorithm_det_fcenet.en.md @@ -16,7 +16,7 @@ On the CTW1500 dataset, the text detection result is as follows: |Model|Backbone|Configuration|Precision|Recall|Hmean|Download| | --- | --- | --- | --- | --- | --- | --- | -| FCE | ResNet50_dcn | [configs/det/det_r50_vd_dcn_fce_ctw.yml](../../configs/det/det_r50_vd_dcn_fce_ctw.yml)| 88.39%|82.18%|85.27%|[trained model](https://paddleocr.bj.bcebos.com/contribution/det_r50_dcn_fce_ctw_v2.0_train.tar)| +| FCE | ResNet50_dcn | [configs/det/det_r50_vd_dcn_fce_ctw.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_dcn_fce_ctw.yml)| 88.39%|82.18%|85.27%|[trained model](https://paddleocr.bj.bcebos.com/contribution/det_r50_dcn_fce_ctw_v2.0_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_detection/algorithm_det_fcenet.md b/docs/algorithm/text_detection/algorithm_det_fcenet.md index 21e5eab492..a682833041 100644 --- a/docs/algorithm/text_detection/algorithm_det_fcenet.md +++ b/docs/algorithm/text_detection/algorithm_det_fcenet.md @@ -16,7 +16,7 @@ comments: true | 模型 |骨干网络|配置文件|precision|recall|Hmean|下载链接| |-----| --- | --- | --- | --- | --- | --- | -| FCE | ResNet50_dcn | [configs/det/det_r50_vd_dcn_fce_ctw.yml](../../configs/det/det_r50_vd_dcn_fce_ctw.yml)| 88.39%|82.18%|85.27%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/det_r50_dcn_fce_ctw_v2.0_train.tar)| +| FCE | ResNet50_dcn | [configs/det/det_r50_vd_dcn_fce_ctw.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_dcn_fce_ctw.yml)| 88.39%|82.18%|85.27%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/det_r50_dcn_fce_ctw_v2.0_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_detection/algorithm_det_psenet.en.md b/docs/algorithm/text_detection/algorithm_det_psenet.en.md index 692d3f0338..b40c88b1b0 100644 --- a/docs/algorithm/text_detection/algorithm_det_psenet.en.md +++ b/docs/algorithm/text_detection/algorithm_det_psenet.en.md @@ -17,8 +17,8 @@ On the ICDAR2015 dataset, the text detection result is as follows: |Model|Backbone|Configuration|Precision|Recall|Hmean|Download| | --- | --- | --- | --- | --- | --- | --- | -|PSE| ResNet50_vd | [configs/det/det_r50_vd_pse.yml](../../configs/det/det_r50_vd_pse.yml)| 85.81% |79.53%|82.55%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_vd_pse_v2.0_train.tar)| -|PSE| MobileNetV3| [configs/det/det_mv3_pse.yml](../../configs/det/det_mv3_pse.yml) | 82.20% |70.48%|75.89%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_mv3_pse_v2.0_train.tar)| +|PSE| ResNet50_vd | [configs/det/det_r50_vd_pse.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_pse.yml)| 85.81% |79.53%|82.55%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_vd_pse_v2.0_train.tar)| +|PSE| MobileNetV3| [configs/det/det_mv3_pse.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_mv3_pse.yml) | 82.20% |70.48%|75.89%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_mv3_pse_v2.0_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_detection/algorithm_det_psenet.md b/docs/algorithm/text_detection/algorithm_det_psenet.md index 0be6356dbe..5e191ee82c 100644 --- a/docs/algorithm/text_detection/algorithm_det_psenet.md +++ b/docs/algorithm/text_detection/algorithm_det_psenet.md @@ -16,8 +16,8 @@ comments: true |模型|骨干网络|配置文件|precision|recall|Hmean|下载链接| | --- | --- | --- | --- | --- | --- | --- | -|PSE| ResNet50_vd | [configs/det/det_r50_vd_pse.yml](../../configs/det/det_r50_vd_pse.yml)| 85.81% |79.53%|82.55%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_vd_pse_v2.0_train.tar)| -|PSE| MobileNetV3| [configs/det/det_mv3_pse.yml](../../configs/det/det_mv3_pse.yml) | 82.20% |70.48%|75.89%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_mv3_pse_v2.0_train.tar)| +|PSE| ResNet50_vd | [configs/det/det_r50_vd_pse.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_pse.yml)| 85.81% |79.53%|82.55%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_vd_pse_v2.0_train.tar)| +|PSE| MobileNetV3| [configs/det/det_mv3_pse.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_mv3_pse.yml) | 82.20% |70.48%|75.89%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_mv3_pse_v2.0_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_detection/algorithm_det_sast.en.md b/docs/algorithm/text_detection/algorithm_det_sast.en.md index 389fc6f674..88a4e8944c 100644 --- a/docs/algorithm/text_detection/algorithm_det_sast.en.md +++ b/docs/algorithm/text_detection/algorithm_det_sast.en.md @@ -16,13 +16,13 @@ On the ICDAR2015 dataset, the text detection result is as follows: |Model|Backbone|Configuration|Precision|Recall|Hmean|Download| | --- | --- | --- | --- | --- | --- | --- | -|SAST|ResNet50_vd|[configs/det/det_r50_vd_sast_icdar15.yml](../../configs/det/det_r50_vd_sast_icdar15.yml)|91.39%|83.77%|87.42%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_sast_icdar15_v2.0_train.tar)| +|SAST|ResNet50_vd|[configs/det/det_r50_vd_sast_icdar15.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_sast_icdar15.yml)|91.39%|83.77%|87.42%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_sast_icdar15_v2.0_train.tar)| On the Total-text dataset, the text detection result is as follows: |Model|Backbone|Configuration|Precision|Recall|Hmean|Download| | --- | --- | --- | --- | --- | --- | --- | -|SAST|ResNet50_vd|[configs/det/det_r50_vd_sast_totaltext.yml](../../configs/det/det_r50_vd_sast_totaltext.yml)|89.63%|78.44%|83.66%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_sast_totaltext_v2.0_train.tar)| +|SAST|ResNet50_vd|[configs/det/det_r50_vd_sast_totaltext.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_sast_totaltext.yml)|89.63%|78.44%|83.66%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_sast_totaltext_v2.0_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_detection/algorithm_det_sast.md b/docs/algorithm/text_detection/algorithm_det_sast.md index b9c38b375f..e1814d1ade 100644 --- a/docs/algorithm/text_detection/algorithm_det_sast.md +++ b/docs/algorithm/text_detection/algorithm_det_sast.md @@ -16,13 +16,13 @@ comments: true |模型|骨干网络|配置文件|precision|recall|Hmean|下载链接| | --- | --- | --- | --- | --- | --- | --- | -|SAST|ResNet50_vd|[configs/det/det_r50_vd_sast_icdar15.yml](../../configs/det/det_r50_vd_sast_icdar15.yml)|91.39%|83.77%|87.42%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_sast_icdar15_v2.0_train.tar)| +|SAST|ResNet50_vd|[configs/det/det_r50_vd_sast_icdar15.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_sast_icdar15.yml)|91.39%|83.77%|87.42%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_sast_icdar15_v2.0_train.tar)| 在Total-text文本检测公开数据集上，算法复现效果如下： |模型|骨干网络|配置文件|precision|recall|Hmean|下载链接| | --- | --- | --- | --- | --- | --- | --- | -|SAST|ResNet50_vd|[configs/det/det_r50_vd_sast_totaltext.yml](../../configs/det/det_r50_vd_sast_totaltext.yml)|89.63%|78.44%|83.66%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_sast_totaltext_v2.0_train.tar)| +|SAST|ResNet50_vd|[configs/det/det_r50_vd_sast_totaltext.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_r50_vd_sast_totaltext.yml)|89.63%|78.44%|83.66%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_sast_totaltext_v2.0_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_recognition/algorithm_rec_abinet.en.md b/docs/algorithm/text_recognition/algorithm_rec_abinet.en.md index d53cd2dab4..f06baf66ad 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_abinet.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_abinet.en.md @@ -15,7 +15,7 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|config|Acc|Download link| | --- | --- | --- | --- | --- | -|ABINet|ResNet45|[rec_r45_abinet.yml](../../configs/rec/rec_r45_abinet.yml)|90.75%|[pretrained & trained model](https://paddleocr.bj.bcebos.com/rec_r45_abinet_train.tar)| +|ABINet|ResNet45|[rec_r45_abinet.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r45_abinet.yml)|90.75%|[pretrained & trained model](https://paddleocr.bj.bcebos.com/rec_r45_abinet_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_abinet.md b/docs/algorithm/text_recognition/algorithm_rec_abinet.md index dd37dd9861..a47e915fc2 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_abinet.md +++ b/docs/algorithm/text_recognition/algorithm_rec_abinet.md @@ -15,7 +15,7 @@ comments: true |模型|骨干网络|配置文件|Acc|下载链接| | --- | --- | --- | --- | --- | -|ABINet|ResNet45|[rec_r45_abinet.yml](../../configs/rec/rec_r45_abinet.yml)|90.75%|[预训练、训练模型](https://paddleocr.bj.bcebos.com/rec_r45_abinet_train.tar)| +|ABINet|ResNet45|[rec_r45_abinet.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r45_abinet.yml)|90.75%|[预训练、训练模型](https://paddleocr.bj.bcebos.com/rec_r45_abinet_train.tar)| ## 2. 环境配置 @@ -25,7 +25,7 @@ comments: true ### 3.1 模型训练 -请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`ABINet`识别模型时需要**更换配置文件**为`ABINet`的[配置文件](../../configs/rec/rec_r45_abinet.yml)。 +请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`ABINet`识别模型时需要**更换配置文件**为`ABINet`的[配置文件](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r45_abinet.yml)。 #### 启动训练 diff --git a/docs/algorithm/text_recognition/algorithm_rec_aster.en.md b/docs/algorithm/text_recognition/algorithm_rec_aster.en.md index d4ae880104..19d8256724 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_aster.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_aster.en.md @@ -16,8 +16,8 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|ACC|config|Download link| | --- | --- | --- | --- | --- | |---|---|---|---|---| -|StarNet|Resnet34_vd|84.44%|[configs/rec/rec_r34_vd_tps_bilstm_ctc.yml](../../configs/rec/rec_r34_vd_tps_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_ctc_v2.0_train.tar)| -|StarNet|MobileNetV3|81.42%|[configs/rec/rec_mv3_tps_bilstm_ctc.yml](../../configs/rec/rec_mv3_tps_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_ctc_v2.0_train.tar)| +|StarNet|Resnet34_vd|84.44%|[configs/rec/rec_r34_vd_tps_bilstm_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r34_vd_tps_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_ctc_v2.0_train.tar)| +|StarNet|MobileNetV3|81.42%|[configs/rec/rec_mv3_tps_bilstm_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mv3_tps_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_ctc_v2.0_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_cppd.md b/docs/algorithm/text_recognition/algorithm_rec_cppd.md index 561fda146c..060e08c6a0 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_cppd.md +++ b/docs/algorithm/text_recognition/algorithm_rec_cppd.md @@ -77,7 +77,7 @@ CPPD在场景文本识别公开数据集上的精度(%)和模型文件如下： #### 启动训练 -请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`CPPD`识别模型时需要**更换配置文件**为`CPPD`的[配置文件](../../configs/rec/rec_svtrnet_cppd_base_en.yml)。 +请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`CPPD`识别模型时需要**更换配置文件**为`CPPD`的[配置文件](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_svtrnet_cppd_base_en.yml)。 具体地，在完成数据准备后，便可以启动训练，训练命令如下： diff --git a/docs/algorithm/text_recognition/algorithm_rec_crnn.en.md b/docs/algorithm/text_recognition/algorithm_rec_crnn.en.md index db0d989552..995599d7ae 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_crnn.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_crnn.en.md @@ -18,8 +18,8 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|ACC|config|Download link| | --- | --- | --- | --- | --- | |---|---|---|---|---| -|CRNN|Resnet34_vd|81.04%|[configs/rec/rec_r34_vd_none_bilstm_ctc.yml](../../configs/rec/rec_r34_vd_none_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_bilstm_ctc_v2.0_train.tar)| -|CRNN|MobileNetV3|77.95%|[configs/rec/rec_mv3_none_bilstm_ctc.yml](../../configs/rec/rec_mv3_none_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_train.tar)| +|CRNN|Resnet34_vd|81.04%|[configs/rec/rec_r34_vd_none_bilstm_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r34_vd_none_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_bilstm_ctc_v2.0_train.tar)| +|CRNN|MobileNetV3|77.95%|[configs/rec/rec_mv3_none_bilstm_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mv3_none_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_crnn.md b/docs/algorithm/text_recognition/algorithm_rec_crnn.md index 1f572beca5..b85bc30949 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_crnn.md +++ b/docs/algorithm/text_recognition/algorithm_rec_crnn.md @@ -16,8 +16,8 @@ comments: true |模型|骨干网络|Avg Accuracy|配置文件|下载链接| |---|---|---|---|---| -|CRNN|Resnet34_vd|81.04%|[configs/rec/rec_r34_vd_none_bilstm_ctc.yml](../../configs/rec/rec_r34_vd_none_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_bilstm_ctc_v2.0_train.tar)| -|CRNN|MobileNetV3|77.95%|[configs/rec/rec_mv3_none_bilstm_ctc.yml](../../configs/rec/rec_mv3_none_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_train.tar)| +|CRNN|Resnet34_vd|81.04%|[configs/rec/rec_r34_vd_none_bilstm_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r34_vd_none_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_bilstm_ctc_v2.0_train.tar)| +|CRNN|MobileNetV3|77.95%|[configs/rec/rec_mv3_none_bilstm_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mv3_none_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_recognition/algorithm_rec_nrtr.en.md b/docs/algorithm/text_recognition/algorithm_rec_nrtr.en.md index c56d78945c..cdbe5132dc 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_nrtr.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_nrtr.en.md @@ -15,7 +15,7 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|config|Acc|Download link| | --- | --- | --- | --- | --- | -|NRTR|MTB|[rec_mtb_nrtr.yml](../../configs/rec/rec_mtb_nrtr.yml)|84.21%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mtb_nrtr_train.tar)| +|NRTR|MTB|[rec_mtb_nrtr.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mtb_nrtr.yml)|84.21%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mtb_nrtr_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_nrtr.md b/docs/algorithm/text_recognition/algorithm_rec_nrtr.md index 68bb58b46d..a4383f6f27 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_nrtr.md +++ b/docs/algorithm/text_recognition/algorithm_rec_nrtr.md @@ -16,7 +16,7 @@ comments: true |模型|骨干网络|配置文件|Acc|下载链接| | --- | --- | --- | --- | --- | -|NRTR|MTB|[rec_mtb_nrtr.yml](../../configs/rec/rec_mtb_nrtr.yml)|84.21%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mtb_nrtr_train.tar)| +|NRTR|MTB|[rec_mtb_nrtr.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mtb_nrtr.yml)|84.21%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mtb_nrtr_train.tar)| ## 2. 环境配置 @@ -26,7 +26,7 @@ comments: true ### 3.1 模型训练 -请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`NRTR`识别模型时需要**更换配置文件**为`NRTR`的[配置文件](../../configs/rec/rec_mtb_nrtr.yml)。 +请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`NRTR`识别模型时需要**更换配置文件**为`NRTR`的[配置文件](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mtb_nrtr.yml)。 #### 启动训练 diff --git a/docs/algorithm/text_recognition/algorithm_rec_parseq.en.md b/docs/algorithm/text_recognition/algorithm_rec_parseq.en.md index 2a971f88d6..dbb3a9c625 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_parseq.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_parseq.en.md @@ -20,8 +20,8 @@ the algorithm reproduction effect is as follows: |Training Dataset|Model|Backbone|config|Acc|Download link| | --- | --- | --- | --- | --- | --- | -|Synth|ParseQ|VIT|[rec_vit_parseq.yml](../../configs/rec/rec_vit_parseq.yml)|91.24%|[train model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/parseq/rec_vit_parseq_synth.tgz)| -|Real|ParseQ|VIT|[rec_vit_parseq.yml](../../configs/rec/rec_vit_parseq.yml)|94.74%|[train model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/parseq/rec_vit_parseq_real.tgz)| +|Synth|ParseQ|VIT|[rec_vit_parseq.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_vit_parseq.yml)|91.24%|[train model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/parseq/rec_vit_parseq_synth.tgz)| +|Real|ParseQ|VIT|[rec_vit_parseq.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_vit_parseq.yml)|94.74%|[train model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/parseq/rec_vit_parseq_real.tgz)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_parseq.md b/docs/algorithm/text_recognition/algorithm_rec_parseq.md index 73caf946c1..66c1e30080 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_parseq.md +++ b/docs/algorithm/text_recognition/algorithm_rec_parseq.md @@ -20,8 +20,8 @@ comments: true |数据集|模型|骨干网络|配置文件|Acc|下载链接| | --- | --- | --- | --- | --- | --- | -|Synth|ParseQ|VIT|[rec_vit_parseq.yml](../../configs/rec/rec_vit_parseq.yml)|91.24%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/parseq/rec_vit_parseq_synth.tgz)| -|Real|ParseQ|VIT|[rec_vit_parseq.yml](../../configs/rec/rec_vit_parseq.yml)|94.74%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/parseq/rec_vit_parseq_real.tgz)| +|Synth|ParseQ|VIT|[rec_vit_parseq.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_vit_parseq.yml)|91.24%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/parseq/rec_vit_parseq_synth.tgz)| +|Real|ParseQ|VIT|[rec_vit_parseq.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_vit_parseq.yml)|94.74%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/parseq/rec_vit_parseq_real.tgz)| ## 2. 环境配置 diff --git a/docs/algorithm/text_recognition/algorithm_rec_rare.en.md b/docs/algorithm/text_recognition/algorithm_rec_rare.en.md index 599ec232f9..150b116008 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_rare.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_rare.en.md @@ -15,8 +15,8 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Models|Backbone Networks|Configuration Files|Avg Accuracy|Download Links| | --- | --- | --- | --- | --- | -|RARE|Resnet34_vd|[configs/rec/rec_r34_vd_tps_bilstm_att.yml](../../configs/rec/rec_r34_vd_tps_bilstm_att.yml)|83.60%|[training model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_att_v2.0_train.tar)| -|RARE|MobileNetV3|[configs/rec/rec_mv3_tps_bilstm_att.yml](../../configs/rec/rec_mv3_tps_bilstm_att.yml)|82.50%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_att_v2.0_train.tar)| +|RARE|Resnet34_vd|[configs/rec/rec_r34_vd_tps_bilstm_att.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r34_vd_tps_bilstm_att.yml)|83.60%|[training model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_att_v2.0_train.tar)| +|RARE|MobileNetV3|[configs/rec/rec_mv3_tps_bilstm_att.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mv3_tps_bilstm_att.yml)|82.50%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_att_v2.0_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_rare.md b/docs/algorithm/text_recognition/algorithm_rec_rare.md index 3464f9c8fe..f33b018199 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_rare.md +++ b/docs/algorithm/text_recognition/algorithm_rec_rare.md @@ -15,8 +15,8 @@ comments: true |模型|骨干网络|配置文件|Avg Accuracy|下载链接| | --- | --- | --- | --- | --- | -|RARE|Resnet34_vd|[configs/rec/rec_r34_vd_tps_bilstm_att.yml](../../configs/rec/rec_r34_vd_tps_bilstm_att.yml)|83.60%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_att_v2.0_train.tar)| -|RARE|MobileNetV3|[configs/rec/rec_mv3_tps_bilstm_att.yml](../../configs/rec/rec_mv3_tps_bilstm_att.yml)|82.50%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_att_v2.0_train.tar)| +|RARE|Resnet34_vd|[configs/rec/rec_r34_vd_tps_bilstm_att.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r34_vd_tps_bilstm_att.yml)|83.60%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_att_v2.0_train.tar)| +|RARE|MobileNetV3|[configs/rec/rec_mv3_tps_bilstm_att.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mv3_tps_bilstm_att.yml)|82.50%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_att_v2.0_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_recognition/algorithm_rec_rfl.en.md b/docs/algorithm/text_recognition/algorithm_rec_rfl.en.md index ab586c718b..fae8623bc2 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_rfl.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_rfl.en.md @@ -15,8 +15,8 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|config|Acc|Download link| | --- | --- | --- | --- | --- | -|RFL-CNT|ResNetRFL|[rec_resnet_rfl_visual.yml](../../configs/rec/rec_resnet_rfl_visual.yml)|93.40%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_resnet_rfl_visual_train.tar)| -|RFL-Att|ResNetRFL|[rec_resnet_rfl_att.yml](../../configs/rec/rec_resnet_rfl_att.yml)|88.63%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_resnet_rfl_att_train.tar)| +|RFL-CNT|ResNetRFL|[rec_resnet_rfl_visual.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_resnet_rfl_visual.yml)|93.40%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_resnet_rfl_visual_train.tar)| +|RFL-Att|ResNetRFL|[rec_resnet_rfl_att.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_resnet_rfl_att.yml)|88.63%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_resnet_rfl_att_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_rfl.md b/docs/algorithm/text_recognition/algorithm_rec_rfl.md index 9ab9bd8c46..eb279b0d24 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_rfl.md +++ b/docs/algorithm/text_recognition/algorithm_rec_rfl.md @@ -15,8 +15,8 @@ comments: true |模型|骨干网络|配置文件|Acc|下载链接| | --- | --- | --- | --- | --- | -|RFL-CNT|ResNetRFL|[rec_resnet_rfl_visual.yml](../../configs/rec/rec_resnet_rfl_visual.yml)|93.40%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_resnet_rfl_visual_train.tar)| -|RFL-Att|ResNetRFL|[rec_resnet_rfl_att.yml](../../configs/rec/rec_resnet_rfl_att.yml)|88.63%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_resnet_rfl_att_train.tar)| +|RFL-CNT|ResNetRFL|[rec_resnet_rfl_visual.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_resnet_rfl_visual.yml)|93.40%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_resnet_rfl_visual_train.tar)| +|RFL-Att|ResNetRFL|[rec_resnet_rfl_att.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_resnet_rfl_att.yml)|88.63%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_resnet_rfl_att_train.tar)| ## 2. 环境配置 @@ -26,7 +26,7 @@ comments: true ### 3.1 模型训练 -PaddleOCR对代码进行了模块化，训练`RFL`识别模型时需要**更换配置文件**为`RFL`的[配置文件](../../configs/rec/rec_resnet_rfl_att.yml)。 +PaddleOCR对代码进行了模块化，训练`RFL`识别模型时需要**更换配置文件**为`RFL`的[配置文件](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_resnet_rfl_att.yml)。 #### 启动训练 diff --git a/docs/algorithm/text_recognition/algorithm_rec_robustscanner.en.md b/docs/algorithm/text_recognition/algorithm_rec_robustscanner.en.md index a4aa3bc7c9..5011ff9b0a 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_robustscanner.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_robustscanner.en.md @@ -16,7 +16,7 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|config|Acc|Download link| | --- | --- | --- | --- | --- | -|RobustScanner|ResNet31|[rec_r31_robustscanner.yml](../../configs/rec/rec_r31_robustscanner.yml)|87.77%|[trained model](https://paddleocr.bj.bcebos.com/contribution/rec_r31_robustscanner.tar)| +|RobustScanner|ResNet31|[rec_r31_robustscanner.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r31_robustscanner.yml)|87.77%|[trained model](https://paddleocr.bj.bcebos.com/contribution/rec_r31_robustscanner.tar)| Note:In addition to using the two text recognition datasets MJSynth and SynthText, [SynthAdd](https://pan.baidu.com/share/init?surl=uV0LtoNmcxbO-0YA7Ch4dg) data (extraction code: 627x), and some real data are used in training, the specific data details can refer to the paper. diff --git a/docs/algorithm/text_recognition/algorithm_rec_robustscanner.md b/docs/algorithm/text_recognition/algorithm_rec_robustscanner.md index 6abf33ca43..9b808afdae 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_robustscanner.md +++ b/docs/algorithm/text_recognition/algorithm_rec_robustscanner.md @@ -17,7 +17,7 @@ Zhang |模型|骨干网络|配置文件|Acc|下载链接| | --- | --- | --- | --- | --- | -|RobustScanner|ResNet31|[rec_r31_robustscanner.yml](../../configs/rec/rec_r31_robustscanner.yml)|87.77%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_r31_robustscanner.tar)| +|RobustScanner|ResNet31|[rec_r31_robustscanner.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r31_robustscanner.yml)|87.77%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_r31_robustscanner.tar)| 注：除了使用MJSynth和SynthText两个文字识别数据集外，还加入了[SynthAdd](https://pan.baidu.com/share/init?surl=uV0LtoNmcxbO-0YA7Ch4dg)数据（提取码：627x），和部分真实数据，具体数据细节可以参考论文。 diff --git a/docs/algorithm/text_recognition/algorithm_rec_rosetta.en.md b/docs/algorithm/text_recognition/algorithm_rec_rosetta.en.md index a49ad8a802..2b59111418 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_rosetta.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_rosetta.en.md @@ -15,8 +15,8 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Models|Backbone Networks|Configuration Files|Avg Accuracy|Download Links| | --- | --- | --- | --- | --- | -|Rosetta|Resnet34_vd|[configs/rec/rec_r34_vd_none_none_ctc.yml](../../configs/rec/rec_r34_vd_none_none_ctc.yml)|79.11%|[training model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_none_ctc_v2.0_train.tar)| -|Rosetta|MobileNetV3|[configs/rec/rec_mv3_none_none_ctc.yml](../../configs/rec/rec_mv3_none_none_ctc.yml)|75.80%|[training model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_none_ctc_v2.0_train.tar)| +|Rosetta|Resnet34_vd|[configs/rec/rec_r34_vd_none_none_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r34_vd_none_none_ctc.yml)|79.11%|[training model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_none_ctc_v2.0_train.tar)| +|Rosetta|MobileNetV3|[configs/rec/rec_mv3_none_none_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mv3_none_none_ctc.yml)|75.80%|[training model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_none_ctc_v2.0_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_rosetta.md b/docs/algorithm/text_recognition/algorithm_rec_rosetta.md index 659a904348..80ef59e0fa 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_rosetta.md +++ b/docs/algorithm/text_recognition/algorithm_rec_rosetta.md @@ -16,8 +16,8 @@ comments: true |模型|骨干网络|配置文件|Avg Accuracy|下载链接| | --- | --- | --- | --- | --- | -|Rosetta|Resnet34_vd|[configs/rec/rec_r34_vd_none_none_ctc.yml](../../configs/rec/rec_r34_vd_none_none_ctc.yml)|79.11%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_none_ctc_v2.0_train.tar)| -|Rosetta|MobileNetV3|[configs/rec/rec_mv3_none_none_ctc.yml](../../configs/rec/rec_mv3_none_none_ctc.yml)|75.80%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_none_ctc_v2.0_train.tar)| +|Rosetta|Resnet34_vd|[configs/rec/rec_r34_vd_none_none_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r34_vd_none_none_ctc.yml)|79.11%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_none_ctc_v2.0_train.tar)| +|Rosetta|MobileNetV3|[configs/rec/rec_mv3_none_none_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mv3_none_none_ctc.yml)|75.80%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_none_ctc_v2.0_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_recognition/algorithm_rec_sar.en.md b/docs/algorithm/text_recognition/algorithm_rec_sar.en.md index 6339d2cb7a..1aabc66395 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_sar.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_sar.en.md @@ -15,7 +15,7 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|config|Acc|Download link| | --- | --- | --- | --- | --- | -|SAR|ResNet31|[rec_r31_sar.yml](../../configs/rec/rec_r31_sar.yml)|87.20%|[train model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_r31_sar_train.tar)| +|SAR|ResNet31|[rec_r31_sar.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r31_sar.yml)|87.20%|[train model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_r31_sar_train.tar)| Note:In addition to using the two text recognition datasets MJSynth and SynthText, [SynthAdd](https://pan.baidu.com/share/init?surl=uV0LtoNmcxbO-0YA7Ch4dg) data (extraction code: 627x), and some real data are used in training, the specific data details can refer to the paper. diff --git a/docs/algorithm/text_recognition/algorithm_rec_sar.md b/docs/algorithm/text_recognition/algorithm_rec_sar.md index f8a6dcb375..447e35e916 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_sar.md +++ b/docs/algorithm/text_recognition/algorithm_rec_sar.md @@ -15,7 +15,7 @@ comments: true |模型|骨干网络|配置文件|Acc|下载链接| | --- | --- | --- | --- | --- | -|SAR|ResNet31|[rec_r31_sar.yml](../../configs/rec/rec_r31_sar.yml)|87.20%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_r31_sar_train.tar)| +|SAR|ResNet31|[rec_r31_sar.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r31_sar.yml)|87.20%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_r31_sar_train.tar)| 注：除了使用MJSynth和SynthText两个文字识别数据集外，还加入了[SynthAdd](https://pan.baidu.com/share/init?surl=uV0LtoNmcxbO-0YA7Ch4dg)数据（提取码：627x），和部分真实数据，具体数据细节可以参考论文。 diff --git a/docs/algorithm/text_recognition/algorithm_rec_satrn.en.md b/docs/algorithm/text_recognition/algorithm_rec_satrn.en.md index 885a3c4a53..482c0f5b34 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_satrn.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_satrn.en.md @@ -14,7 +14,7 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|config|Acc|Download link| | --- | --- | --- | --- | --- | -|SATRN|ShallowCNN|88.05%|[configs/rec/rec_satrn.yml](../../configs/rec/rec_satrn.yml)|[训练模型](https://pan.baidu.com/s/10J-Bsd881bimKaclKszlaQ?pwd=lk8a)| +|SATRN|ShallowCNN|88.05%|[configs/rec/rec_satrn.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_satrn.yml)|[训练模型](https://pan.baidu.com/s/10J-Bsd881bimKaclKszlaQ?pwd=lk8a)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_satrn.md b/docs/algorithm/text_recognition/algorithm_rec_satrn.md index 52415720d5..765b0aeed0 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_satrn.md +++ b/docs/algorithm/text_recognition/algorithm_rec_satrn.md @@ -14,7 +14,7 @@ comments: true |模型|骨干网络|Avg Accuracy|配置文件|下载链接| |---|---|---|---|---| -|SATRN|ShallowCNN|88.05%|[configs/rec/rec_satrn.yml](../../configs/rec/rec_satrn.yml)|[训练模型](https://pan.baidu.com/s/10J-Bsd881bimKaclKszlaQ?pwd=lk8a)| +|SATRN|ShallowCNN|88.05%|[configs/rec/rec_satrn.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_satrn.yml)|[训练模型](https://pan.baidu.com/s/10J-Bsd881bimKaclKszlaQ?pwd=lk8a)| ## 2. 环境配置 diff --git a/docs/algorithm/text_recognition/algorithm_rec_seed.en.md b/docs/algorithm/text_recognition/algorithm_rec_seed.en.md index feceda0f66..00c577def1 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_seed.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_seed.en.md @@ -17,7 +17,7 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|ACC|config|Download link| | --- | --- | --- | --- | --- | -|SEED|Aster_Resnet| 85.20% | [configs/rec/rec_resnet_stn_bilstm_att.yml](../../configs/rec/rec_resnet_stn_bilstm_att.yml) | [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_resnet_stn_bilstm_att.tar) | +|SEED|Aster_Resnet| 85.20% | [configs/rec/rec_resnet_stn_bilstm_att.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_resnet_stn_bilstm_att.yml) | [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_resnet_stn_bilstm_att.tar) | ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_seed.md b/docs/algorithm/text_recognition/algorithm_rec_seed.md index 8428f0ad5a..a2c16c7662 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_seed.md +++ b/docs/algorithm/text_recognition/algorithm_rec_seed.md @@ -15,7 +15,7 @@ comments: true |模型|骨干网络|Avg Accuracy|配置文件|下载链接| |---|---|---|---|---| -|SEED|Aster_Resnet| 85.20% | [configs/rec/rec_resnet_stn_bilstm_att.yml](../../configs/rec/rec_resnet_stn_bilstm_att.yml) | [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_resnet_stn_bilstm_att.tar) | +|SEED|Aster_Resnet| 85.20% | [configs/rec/rec_resnet_stn_bilstm_att.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_resnet_stn_bilstm_att.yml) | [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_resnet_stn_bilstm_att.tar) | ## 2. 环境配置 diff --git a/docs/algorithm/text_recognition/algorithm_rec_spin.en.md b/docs/algorithm/text_recognition/algorithm_rec_spin.en.md index 1d9a0ef037..cb218d0bce 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_spin.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_spin.en.md @@ -15,7 +15,7 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|config|Acc|Download link| | --- | --- | --- | --- | --- | -|SPIN|ResNet32|[rec_r32_gaspin_bilstm_att.yml](../../configs/rec/rec_r32_gaspin_bilstm_att.yml)|90.00%|[trained model](https://paddleocr.bj.bcebos.com/contribution/rec_r32_gaspin_bilstm_att.tar) | +|SPIN|ResNet32|[rec_r32_gaspin_bilstm_att.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r32_gaspin_bilstm_att.yml)|90.00%|[trained model](https://paddleocr.bj.bcebos.com/contribution/rec_r32_gaspin_bilstm_att.tar) | ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_spin.md b/docs/algorithm/text_recognition/algorithm_rec_spin.md index bab687b696..de5069fb9e 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_spin.md +++ b/docs/algorithm/text_recognition/algorithm_rec_spin.md @@ -16,7 +16,7 @@ SPIN收录于AAAI2020。主要用于OCR识别任务。在任意形状文本识 |模型|骨干网络|配置文件|Acc|下载链接| | --- | --- | --- | --- | --- | -|SPIN|ResNet32|[rec_r32_gaspin_bilstm_att.yml](../../configs/rec/rec_r32_gaspin_bilstm_att.yml)|90.00%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_r32_gaspin_bilstm_att.tar)| +|SPIN|ResNet32|[rec_r32_gaspin_bilstm_att.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r32_gaspin_bilstm_att.yml)|90.00%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_r32_gaspin_bilstm_att.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_recognition/algorithm_rec_srn.en.md b/docs/algorithm/text_recognition/algorithm_rec_srn.en.md index 8800103916..cbb4bf11d5 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_srn.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_srn.en.md @@ -15,7 +15,7 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|config|Acc|Download link| | --- | --- | --- | --- | --- | -|SRN|Resnet50_vd_fpn|[rec_r50_fpn_srn.yml](../../configs/rec/rec_r50_fpn_srn.yml)|86.31%|[train model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r50_vd_srn_train.tar)| +|SRN|Resnet50_vd_fpn|[rec_r50_fpn_srn.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r50_fpn_srn.yml)|86.31%|[train model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r50_vd_srn_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_srn.md b/docs/algorithm/text_recognition/algorithm_rec_srn.md index 04823bcb96..0f5c3a8d61 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_srn.md +++ b/docs/algorithm/text_recognition/algorithm_rec_srn.md @@ -15,7 +15,7 @@ comments: true |模型|骨干网络|配置文件|Acc|下载链接| | --- | --- | --- | --- | --- | -|SRN|Resnet50_vd_fpn|[rec_r50_fpn_srn.yml](../../configs/rec/rec_r50_fpn_srn.yml)|86.31%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r50_vd_srn_train.tar)| +|SRN|Resnet50_vd_fpn|[rec_r50_fpn_srn.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r50_fpn_srn.yml)|86.31%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r50_vd_srn_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_recognition/algorithm_rec_starnet.en.md b/docs/algorithm/text_recognition/algorithm_rec_starnet.en.md index a5552064f5..b972025eb0 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_starnet.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_starnet.en.md @@ -15,8 +15,8 @@ Refer to [DTRB](https://arxiv.org/abs/1904.01906) text Recognition Training and |Models|Backbone Networks|Avg Accuracy|Configuration Files|Download Links| | --- | --- | --- | --- | --- | -|StarNet|Resnet34_vd|84.44%|[configs/rec/rec_r34_vd_tps_bilstm_ctc.yml](../../configs/rec/rec_r34_vd_tps_bilstm_ctc.yml)|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_ctc_v2.0_train.tar)| -|StarNet|MobileNetV3|81.42%|[configs/rec/rec_mv3_tps_bilstm_ctc.yml](../../configs/rec/rec_mv3_tps_bilstm_ctc.yml)|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_ctc_v2.0_train.tar)| +|StarNet|Resnet34_vd|84.44%|[configs/rec/rec_r34_vd_tps_bilstm_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r34_vd_tps_bilstm_ctc.yml)|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_ctc_v2.0_train.tar)| +|StarNet|MobileNetV3|81.42%|[configs/rec/rec_mv3_tps_bilstm_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mv3_tps_bilstm_ctc.yml)|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_ctc_v2.0_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_starnet.md b/docs/algorithm/text_recognition/algorithm_rec_starnet.md index 8f95bdcd6b..8e3d5b22e3 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_starnet.md +++ b/docs/algorithm/text_recognition/algorithm_rec_starnet.md @@ -16,8 +16,8 @@ comments: true |模型|骨干网络|Avg Accuracy|配置文件|下载链接| |---|---|---|---|---| -|StarNet|Resnet34_vd|84.44%|[configs/rec/rec_r34_vd_tps_bilstm_ctc.yml](../../configs/rec/rec_r34_vd_tps_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_ctc_v2.0_train.tar)| -|StarNet|MobileNetV3|81.42%|[configs/rec/rec_mv3_tps_bilstm_ctc.yml](../../configs/rec/rec_mv3_tps_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_ctc_v2.0_train.tar)| +|StarNet|Resnet34_vd|84.44%|[configs/rec/rec_r34_vd_tps_bilstm_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r34_vd_tps_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_ctc_v2.0_train.tar)| +|StarNet|MobileNetV3|81.42%|[configs/rec/rec_mv3_tps_bilstm_ctc.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_mv3_tps_bilstm_ctc.yml)|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_ctc_v2.0_train.tar)| ## 2. 环境配置 diff --git a/docs/algorithm/text_recognition/algorithm_rec_svtr.md b/docs/algorithm/text_recognition/algorithm_rec_svtr.md index bb9dafe7cf..6ee4ee137d 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_svtr.md +++ b/docs/algorithm/text_recognition/algorithm_rec_svtr.md @@ -47,7 +47,7 @@ SVTR在场景文本识别公开数据集上的精度(%)和模型文件如下： #### 启动训练 -请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`SVTR`识别模型时需要**更换配置文件**为`SVTR`的[配置文件](../../configs/rec/rec_svtrnet.yml)。 +请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`SVTR`识别模型时需要**更换配置文件**为`SVTR`的[配置文件](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_svtrnet.yml)。 具体地，在完成数据准备后，便可以启动训练，训练命令如下： diff --git a/docs/algorithm/text_recognition/algorithm_rec_visionlan.en.md b/docs/algorithm/text_recognition/algorithm_rec_visionlan.en.md index 99566d6858..339166d83b 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_visionlan.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_visionlan.en.md @@ -15,7 +15,7 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|config|Acc|Download link| | --- | --- | --- | --- | --- | -|VisionLAN|ResNet45|[rec_r45_visionlan.yml](../../configs/rec/rec_r45_visionlan.yml)|90.30%|[model link](https://paddleocr.bj.bcebos.com/VisionLAN/rec_r45_visionlan_train.tar)| +|VisionLAN|ResNet45|[rec_r45_visionlan.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r45_visionlan.yml)|90.30%|[model link](https://paddleocr.bj.bcebos.com/VisionLAN/rec_r45_visionlan_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_visionlan.md b/docs/algorithm/text_recognition/algorithm_rec_visionlan.md index 1bb4a4f20f..913461d70f 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_visionlan.md +++ b/docs/algorithm/text_recognition/algorithm_rec_visionlan.md @@ -15,7 +15,7 @@ comments: true |模型|骨干网络|配置文件|Acc|下载链接| | --- | --- | --- | --- | --- | -|VisionLAN|ResNet45|[rec_r45_visionlan.yml](../../configs/rec/rec_r45_visionlan.yml)|90.30%|[预训练、训练模型](https://paddleocr.bj.bcebos.com/VisionLAN/rec_r45_visionlan_train.tar)| +|VisionLAN|ResNet45|[rec_r45_visionlan.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r45_visionlan.yml)|90.30%|[预训练、训练模型](https://paddleocr.bj.bcebos.com/VisionLAN/rec_r45_visionlan_train.tar)| ## 2. 环境配置 @@ -25,7 +25,7 @@ comments: true ### 3.1 模型训练 -请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`VisionLAN`识别模型时需要**更换配置文件**为`VisionLAN`的[配置文件](../../configs/rec/rec_r45_visionlan.yml)。 +请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`VisionLAN`识别模型时需要**更换配置文件**为`VisionLAN`的[配置文件](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_r45_visionlan.yml)。 #### 启动训练 diff --git a/docs/algorithm/text_recognition/algorithm_rec_vitstr.en.md b/docs/algorithm/text_recognition/algorithm_rec_vitstr.en.md index 9a56504cfa..b3f8b35ee9 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_vitstr.en.md +++ b/docs/algorithm/text_recognition/algorithm_rec_vitstr.en.md @@ -15,7 +15,7 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval |Model|Backbone|config|Acc|Download link| | --- | --- | --- | --- | --- | -|ViTSTR|ViTSTR|[rec_vitstr_none_ce.yml](../../configs/rec/rec_vitstr_none_ce.yml)|79.82%|[trained model](https://paddleocr.bj.bcebos.com/rec_vitstr_none_none_train.tar)| +|ViTSTR|ViTSTR|[rec_vitstr_none_ce.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_vitstr_none_ce.yml)|79.82%|[trained model](https://paddleocr.bj.bcebos.com/rec_vitstr_none_none_train.tar)| ## 2. Environment diff --git a/docs/algorithm/text_recognition/algorithm_rec_vitstr.md b/docs/algorithm/text_recognition/algorithm_rec_vitstr.md index 9f2912e353..0bd78e7975 100644 --- a/docs/algorithm/text_recognition/algorithm_rec_vitstr.md +++ b/docs/algorithm/text_recognition/algorithm_rec_vitstr.md @@ -15,7 +15,7 @@ comments: true |模型|骨干网络|配置文件|Acc|下载链接| | --- | --- | --- | --- | --- | -|ViTSTR|ViTSTR|[rec_vitstr_none_ce.yml](../../configs/rec/rec_vitstr_none_ce.yml)|79.82%|[训练模型](https://paddleocr.bj.bcebos.com/rec_vitstr_none_ce_train.tar)| +|ViTSTR|ViTSTR|[rec_vitstr_none_ce.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_vitstr_none_ce.yml)|79.82%|[训练模型](https://paddleocr.bj.bcebos.com/rec_vitstr_none_ce_train.tar)| ## 2. 环境配置 @@ -25,7 +25,7 @@ comments: true ### 3.1 模型训练 -请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`ViTSTR`识别模型时需要**更换配置文件**为`ViTSTR`的[配置文件](../../configs/rec/rec_vitstr_none_ce.yml)。 +请参考[文本识别训练教程](../../ppocr/model_train/recognition.md)。PaddleOCR对代码进行了模块化，训练`ViTSTR`识别模型时需要**更换配置文件**为`ViTSTR`的[配置文件](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/rec_vitstr_none_ce.yml)。 #### 启动训练 diff --git "a/docs/applications/\345\205\211\345\212\237\347\216\207\350\256\241\346\225\260\347\240\201\347\256\241\345\255\227\347\254\246\350\257\206\345\210\253.md" "b/docs/applications/\345\205\211\345\212\237\347\216\207\350\256\241\346\225\260\347\240\201\347\256\241\345\255\227\347\254\246\350\257\206\345\210\253.md" index a9c581231c..b44e2dba05 100644 --- "a/docs/applications/\345\205\211\345\212\237\347\216\207\350\256\241\346\225\260\347\240\201\347\256\241\345\255\227\347\254\246\350\257\206\345\210\253.md" +++ "b/docs/applications/\345\205\211\345\212\237\347\216\207\350\256\241\346\225\260\347\240\201\347\256\241\345\255\227\347\254\246\350\257\206\345\210\253.md" @@ -271,7 +271,7 @@ z #### Step3：修改配置文件 -为了更好的使用预训练模型，训练推荐使用[ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)配置文件，并参考下列说明修改配置文件： +为了更好的使用预训练模型，训练推荐使用[ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)配置文件，并参考下列说明修改配置文件： 以 `ch_PP-OCRv3_rec_distillation.yml` 为例： diff --git a/docs/ppocr/blog/config.en.md b/docs/ppocr/blog/config.en.md index 21584b403a..b99d255c6f 100644 --- a/docs/ppocr/blog/config.en.md +++ b/docs/ppocr/blog/config.en.md @@ -142,13 +142,13 @@ In PaddleOCR, the network is divided into four stages: Transform, Backbone, Neck ## 3. Multilingual Config File Generation PaddleOCR currently supports recognition for 80 languages (besides Chinese). A multi-language configuration file template is -provided under the path `configs/rec/multi_languages`: [rec_multi_language_lite_train.yml](../../configs/rec/multi_language/rec_multi_language_lite_train.yml)。 +provided under the path `configs/rec/multi_languages`: [rec_multi_language_lite_train.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/multi_language/rec_multi_language_lite_train.yml)。 There are two ways to create the required configuration file: 1. Automatically generated by script -Script [generate_multi_language_configs.py](../../configs/rec/multi_language/generate_multi_language_configs.py) can help you generate configuration files for multi-language models. +Script [generate_multi_language_configs.py](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/multi_language/generate_multi_language_configs.py) can help you generate configuration files for multi-language models. - Take Italian as an example, if your data is prepared in the following format: diff --git a/docs/ppocr/blog/config.md b/docs/ppocr/blog/config.md index c68ebe75d2..cfc5d3dfcd 100644 --- a/docs/ppocr/blog/config.md +++ b/docs/ppocr/blog/config.md @@ -129,13 +129,13 @@ comments: true ## 3. 多语言配置文件生成 -PaddleOCR目前已支持80种（除中文外）语种识别，`configs/rec/multi_languages` 路径下提供了一个多语言的配置文件模版: [rec_multi_language_lite_train.yml](../../configs/rec/multi_language/rec_multi_language_lite_train.yml)。 +PaddleOCR目前已支持80种（除中文外）语种识别，`configs/rec/multi_languages` 路径下提供了一个多语言的配置文件模版: [rec_multi_language_lite_train.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/multi_language/rec_multi_language_lite_train.yml)。 您有两种方式创建所需的配置文件： 1. 通过脚本自动生成 -[generate_multi_language_configs.py](../../configs/rec/multi_language/generate_multi_language_configs.py) 可以帮助您生成多语言模型的配置文件 +[generate_multi_language_configs.py](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/multi_language/generate_multi_language_configs.py) 可以帮助您生成多语言模型的配置文件 * 以意大利语为例，如果您的数据是按如下格式准备的： diff --git a/docs/ppocr/blog/distributed_training.en.md b/docs/ppocr/blog/distributed_training.en.md index dd225758a4..09b0f011bc 100644 --- a/docs/ppocr/blog/distributed_training.en.md +++ b/docs/ppocr/blog/distributed_training.en.md @@ -48,13 +48,13 @@ We conducted model training on 2x8 P40 GPUs. Accuracy, training time, and multi | Model | Configuration | Configuration | 8 GPU training time / Accuracy | 3x8 GPU training time / Accuracy | Acceleration ratio | |:------:|:-----:|:--------:|:--------:|:--------:|:-----:| -| CRNN | [rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml) | 260k Chinese dataset | 2.50d/66.70% | 1.67d/67.00% | **1.5** | +| CRNN | [rec_chinese_lite_train_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml) | 260k Chinese dataset | 2.50d/66.70% | 1.67d/67.00% | **1.5** | We conducted model training on 3x8 V100 GPUs. Accuracy, training time, and multi machine acceleration ratio of different models are shown below. | Model | Configuration | Configuration | 8 GPU training time / Accuracy | 3x8 GPU training time / Accuracy | Acceleration ratio | |:------:|:-----:|:--------:|:--------:|:--------:|:-----:| -| SLANet | [SLANet.yml](../../configs/table/SLANet.yml) | PubTabNet | 49.80h/76.20% | 19.75h/74.77% | **2.52** | +| SLANet | [SLANet.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/table/SLANet.yml) | PubTabNet | 49.80h/76.20% | 19.75h/74.77% | **2.52** | Note: when training with 3x8 GPUs, the single card batch size is unchanged compared with the 1x8 GPUs' training process, and the learning rate is multiplied by 2 (if it is multiplied by 3 by default, the accuracy is only 73.42%). @@ -62,4 +62,4 @@ We conducted model training on 4x8 V100 GPUs. Accuracy, training time, and multi | Model | Configuration | Configuration | 8 GPU training time / Accuracy | 4x8 GPU training time / Accuracy | Acceleration ratio | |:------:|:-----:|:--------:|:--------:|:--------:|:-----:| -| SVTR | [ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml) | PP-OCRv3_rec data | 10d/- | 2.84d/74.00% | **3.5** | +| SVTR | [ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml) | PP-OCRv3_rec data | 10d/- | 2.84d/74.00% | **3.5** | diff --git a/docs/ppocr/blog/distributed_training.md b/docs/ppocr/blog/distributed_training.md index 182c67d17c..fbcb514ac3 100644 --- a/docs/ppocr/blog/distributed_training.md +++ b/docs/ppocr/blog/distributed_training.md @@ -48,13 +48,13 @@ python3 -m paddle.distributed.launch \ | 模型 | 配置 | 数据集 | 单机8卡耗时/精度 | 2机8卡耗时/精度 | 加速比 | |:------:|:-----:|:--------:|:--------:|:--------:|:-----:| -| CRNN | [rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml) | 26W中文数据集 | 2.50d/66.7% | 1.67d/67.0% | **1.5** | +| CRNN | [rec_chinese_lite_train_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml) | 26W中文数据集 | 2.50d/66.7% | 1.67d/67.0% | **1.5** | 在3机8卡V100的机器上进行模型训练，不同模型的精度、训练耗时、多机加速比情况如下所示。 | 模型 | 配置 | 数据集 | 单机8卡耗时/精度 | 3机8卡耗时/精度 | 加速比 | |:------:|:-----:|:--------:|:--------:|:--------:|:-----:| -| SLANet | [SLANet.yml](../../configs/table/SLANet.yml) | PubTabNet | 49.8h/76.2% | 19.75h/74.77% | **2.52** | +| SLANet | [SLANet.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/table/SLANet.yml) | PubTabNet | 49.8h/76.2% | 19.75h/74.77% | **2.52** | 注意：这里3机8卡训练时，单卡batch size相比于单机8卡不变，学习率乘以2 (默认乘以3的话，精度仅有73.42%) @@ -62,6 +62,6 @@ python3 -m paddle.distributed.launch \ | 模型 | 配置 | 数据集 | 单机8卡耗时/精度 | 4机8卡耗时/精度 | 加速比 | |:------:|:-----:|:--------:|:--------:|:--------:|:-----:| -| SVTR | [ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml) | PP-OCRv3_rec data | 10d/- | 2.84d/74.0% | **3.5** | +| SVTR | [ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml) | PP-OCRv3_rec data | 10d/- | 2.84d/74.0% | **3.5** | **注意**: 在训练的GPU卡数过多时，精度会稍微有所损失（1%左右），此时可以尝试通过添加warmup或者适当增加迭代轮数来弥补精度损失。 diff --git a/docs/ppocr/blog/multi_languages.en.md b/docs/ppocr/blog/multi_languages.en.md index ed71a2d439..7f0915afd7 100644 --- a/docs/ppocr/blog/multi_languages.en.md +++ b/docs/ppocr/blog/multi_languages.en.md @@ -161,7 +161,7 @@ PPOCR also supports direction classification. For more detailed usage, please re ## 3 Custom training -PPOCR supports using your own data for custom training or fine-tune, where the recognition model can refer to [French configuration file](../../configs/rec/multi_language/rec_french_lite_train.yml) +PPOCR supports using your own data for custom training or fine-tune, where the recognition model can refer to [French configuration file](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/multi_language/rec_french_lite_train.yml) Modify the training data path, dictionary and other parameters. For specific data preparation and training process, please refer to: [Text Detection](../doc_en/detection_en.md), [Text Recognition](../doc_en/recognition_en.md), more functions such as predictive deployment, diff --git a/docs/ppocr/blog/multi_languages.md b/docs/ppocr/blog/multi_languages.md index 22c331121f..0316d339db 100644 --- a/docs/ppocr/blog/multi_languages.md +++ b/docs/ppocr/blog/multi_languages.md @@ -160,7 +160,7 @@ ppocr 还支持方向分类， 更多使用方式请参考：[whl包使用说明 ## 3 自定义训练 -ppocr 支持使用自己的数据进行自定义训练或finetune, 其中识别模型可以参考[法语配置文件](../../configs/rec/multi_language/rec_french_lite_train.yml) +ppocr 支持使用自己的数据进行自定义训练或finetune, 其中识别模型可以参考[法语配置文件](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/multi_language/rec_french_lite_train.yml) 修改训练数据路径、字典等参数。 详细数据准备、训练过程可参考：[文本识别](../doc_ch/recognition.md)、[文本检测](../doc_ch/detection.md)。 diff --git a/docs/ppocr/model_compress/knowledge_distillation.en.md b/docs/ppocr/model_compress/knowledge_distillation.en.md index 8b54e6f108..adab448a42 100755 --- a/docs/ppocr/model_compress/knowledge_distillation.en.md +++ b/docs/ppocr/model_compress/knowledge_distillation.en.md @@ -48,7 +48,7 @@ The following takes the knowledge distillation configuration file for recognitio ### 2.1 Recognition Model Configuration File Analysis -The configuration file is in [ch_PP-OCRv2_rec_distillation.yml](../../configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec_distillation.yml). +The configuration file is in [ch_PP-OCRv2_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec_distillation.yml). #### 2.1.1 Model Structure @@ -328,7 +328,7 @@ For more specific implementation of `DistillationMetric`, please refer to: [dist There are two ways to fine-tune the recognition distillation task. -1. Fine-tuning based on knowledge distillation: this situation is relatively simple, download the pre-trained model. Then configure the pre-training model path and your own data path in [ch_PP-OCRv2_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml) to perform fine-tuning training of the model. +1. Fine-tuning based on knowledge distillation: this situation is relatively simple, download the pre-trained model. Then configure the pre-training model path and your own data path in [ch_PP-OCRv2_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml) to perform fine-tuning training of the model. 2. Do not use knowledge distillation in fine-tuning: In this case, you need to first extract the student model parameters from the pre-training model. The specific steps are as follows. - First download the pre-trained model and unzip it. @@ -354,7 +354,7 @@ print(s_params.keys()) paddle.save(s_params, "ch_PP-OCRv3_rec_train/student.pdparams") ``` -After the extraction is complete, use [ch_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml) to modify the path of the pre-trained model (the path of the exported `student.pdparams` model) and your own data path to fine-tune the model. +After the extraction is complete, use [ch_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml) to modify the path of the pre-trained model (the path of the exported `student.pdparams` model) and your own data path to fine-tune the model. ### 2.2 Detection Model Configuration File Analysis @@ -410,9 +410,9 @@ Architecture: ``` If DML is used, that is, the method of two small models learning from each other, the Teacher network structure in the above configuration file needs to be set to the same configuration as the Student model. -Refer to the configuration file for details. [ch_PP-OCRv3_det_dml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_dml.yml) +Refer to the configuration file for details. [ch_PP-OCRv3_det_dml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_dml.yml) -The following describes the configuration file parameters [ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml): +The following describes the configuration file parameters [ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml): ```yaml linenums="1" Architecture: diff --git a/docs/ppocr/model_compress/knowledge_distillation.md b/docs/ppocr/model_compress/knowledge_distillation.md index 7b67ef9fac..931a38453d 100644 --- a/docs/ppocr/model_compress/knowledge_distillation.md +++ b/docs/ppocr/model_compress/knowledge_distillation.md @@ -40,7 +40,7 @@ PaddleOCR中集成了知识蒸馏的算法，具体地，有以下几个主要 ### 2.1 识别配置文件解析 -配置文件在[ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)。 +配置文件在[ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)。 #### 2.1.1 模型结构 @@ -316,7 +316,7 @@ Metric: 对蒸馏得到的识别蒸馏进行微调有2种方式。 -（1）基于知识蒸馏的微调：这种情况比较简单，下载预训练模型，在[ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)中配置好预训练模型路径以及自己的数据路径，即可进行模型微调训练。 +（1）基于知识蒸馏的微调：这种情况比较简单，下载预训练模型，在[ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)中配置好预训练模型路径以及自己的数据路径，即可进行模型微调训练。 （2）微调时不使用知识蒸馏：这种情况，需要首先将预训练模型中的学生模型参数提取出来，具体步骤如下： @@ -344,7 +344,7 @@ print(s_params.keys()) paddle.save(s_params, "ch_PP-OCRv3_rec_train/student.pdparams") ``` -转化完成之后，使用[ch_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml)，修改预训练模型的路径（为导出的`student.pdparams`模型路径）以及自己的数据路径，即可进行模型微调。 +转化完成之后，使用[ch_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec.yml)，修改预训练模型的路径（为导出的`student.pdparams`模型路径）以及自己的数据路径，即可进行模型微调。 ### 2.2 检测配置文件解析 @@ -398,9 +398,9 @@ Architecture: ``` -如果是采用DML，即两个小模型互相学习的方法，上述配置文件里的Teacher网络结构需要设置为Student模型一样的配置，具体参考配置文件[ch_PP-OCRv3_det_dml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_dml.yml)。 +如果是采用DML，即两个小模型互相学习的方法，上述配置文件里的Teacher网络结构需要设置为Student模型一样的配置，具体参考配置文件[ch_PP-OCRv3_det_dml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_dml.yml)。 -下面介绍[ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml)的配置文件参数： +下面介绍[ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml)的配置文件参数： ```yaml linenums="1" Architecture: diff --git a/docs/ppocr/model_list.en.md b/docs/ppocr/model_list.en.md index b0750246e3..af1ea0a1ca 100644 --- a/docs/ppocr/model_list.en.md +++ b/docs/ppocr/model_list.en.md @@ -28,20 +28,20 @@ The relationship of the above models is as follows. |model name|description|config|model size|download| | --- | --- | --- | --- | --- | -|ch_PP-OCRv3_det_slim| [New] slim quantization with distillation lightweight model, supporting Chinese, English, multilingual text detection |[ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml)| 1.1M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_distill_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_infer.nb)| -|ch_PP-OCRv3_det| [New] Original lightweight model, supporting Chinese, English, multilingual text detection |[ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml)| 3.8M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar)| -|ch_PP-OCRv2_det_slim| [New] slim quantization with distillation lightweight model, supporting Chinese, English, multilingual text detection|[ch_PP-OCRv2_det_cml.yml](../../configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml)| 3.0M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_slim_quant_infer.tar)| -|ch_PP-OCRv2_det| [New] Original lightweight model, supporting Chinese, English, multilingual text detection|[ch_PP-OCRv2_det_cml.yml](../../configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml)|3.0M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_distill_train.tar)| -|ch_ppocr_mobile_slim_v2.0_det|Slim pruned lightweight model, supporting Chinese, English, multilingual text detection|[ch_det_mv3_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml)|2.6M |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_det_prune_infer.tar)| -|ch_ppocr_mobile_v2.0_det|Original lightweight model, supporting Chinese, English, multilingual text detection|[ch_det_mv3_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml)|3.0M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)| -|ch_ppocr_server_v2.0_det|General model, which is larger than the lightweight model, but achieved better performance|[ch_det_res18_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml)|47.0M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar)| +|ch_PP-OCRv3_det_slim| [New] slim quantization with distillation lightweight model, supporting Chinese, English, multilingual text detection |[ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml)| 1.1M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_distill_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_infer.nb)| +|ch_PP-OCRv3_det| [New] Original lightweight model, supporting Chinese, English, multilingual text detection |[ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml)| 3.8M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar)| +|ch_PP-OCRv2_det_slim| [New] slim quantization with distillation lightweight model, supporting Chinese, English, multilingual text detection|[ch_PP-OCRv2_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml)| 3.0M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_slim_quant_infer.tar)| +|ch_PP-OCRv2_det| [New] Original lightweight model, supporting Chinese, English, multilingual text detection|[ch_PP-OCRv2_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml)|3.0M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_distill_train.tar)| +|ch_ppocr_mobile_slim_v2.0_det|Slim pruned lightweight model, supporting Chinese, English, multilingual text detection|[ch_det_mv3_db_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml)|2.6M |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_det_prune_infer.tar)| +|ch_ppocr_mobile_v2.0_det|Original lightweight model, supporting Chinese, English, multilingual text detection|[ch_det_mv3_db_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml)|3.0M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)| +|ch_ppocr_server_v2.0_det|General model, which is larger than the lightweight model, but achieved better performance|[ch_det_res18_db_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml)|47.0M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar)| ### 1.2 English Detection Model |model name|description|config|model size|download| | --- | --- | --- | --- | --- | -|en_PP-OCRv3_det_slim | [New] Slim quantization with distillation lightweight detection model, supporting English | [ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 1.1M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_distill_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_infer.nb) | -|en_PP-OCRv3_det | [New] Original lightweight detection model, supporting English |[ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml)| 3.8M | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_distill_train.tar) | +|en_PP-OCRv3_det_slim | [New] Slim quantization with distillation lightweight detection model, supporting English | [ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 1.1M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_distill_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_infer.nb) | +|en_PP-OCRv3_det | [New] Original lightweight detection model, supporting English |[ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml)| 3.8M | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_distill_train.tar) | * Note: English configuration file is the same as Chinese except for training data, here we only provide one configuration file. @@ -49,8 +49,8 @@ The relationship of the above models is as follows. |model name|description|config|model size|download| | --- | --- | --- | --- | --- | -| ml_PP-OCRv3_det_slim | [New] Slim quantization with distillation lightweight detection model, supporting English | [ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 1.1M | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_distill_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_infer.nb) | -| ml_PP-OCRv3_det |[New] Original lightweight detection model, supporting English | [ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml)| 3.8M | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_distill_train.tar) | +| ml_PP-OCRv3_det_slim | [New] Slim quantization with distillation lightweight detection model, supporting English | [ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 1.1M | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_distill_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_infer.nb) | +| ml_PP-OCRv3_det |[New] Original lightweight detection model, supporting English | [ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml)| 3.8M | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_distill_train.tar) | * Note: English configuration file is the same as Chinese except for training data, here we only provide one configuration file. @@ -60,13 +60,13 @@ The relationship of the above models is as follows. |model name|description|config|model size|download| | --- | --- | --- | --- | --- | -|ch_PP-OCRv3_rec_slim | [New] Slim quantization with distillation lightweight model, supporting Chinese, English text recognition |[ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)| 4.9M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_infer.nb) | -|ch_PP-OCRv3_rec| [New] Original lightweight model, supporting Chinese, English, multilingual text recognition |[ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)| 12.4M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar) | -|ch_PP-OCRv2_rec_slim| Slim quantization with distillation lightweight model, supporting Chinese, English text recognition|[ch_PP-OCRv2_rec.yml](../../configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec.yml)| 9.0M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_slim_quant_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_slim_quant_train.tar) | -|ch_PP-OCRv2_rec| Original lightweight model, supporting Chinese, English, and multilingual text recognition |[ch_PP-OCRv2_rec_distillation.yml](../../configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec_distillation.yml)|8.5M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_train.tar) | -|ch_ppocr_mobile_slim_v2.0_rec|Slim pruned and quantized lightweight model, supporting Chinese, English and number recognition|[rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml)| 6.0M | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_train.tar) | -|ch_ppocr_mobile_v2.0_rec|Original lightweight model, supporting Chinese, English and number recognition|[rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml)|5.2M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | -|ch_ppocr_server_v2.0_rec|General model, supporting Chinese, English and number recognition|[rec_chinese_common_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_common_train_v2.0.yml)|94.8M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | +|ch_PP-OCRv3_rec_slim | [New] Slim quantization with distillation lightweight model, supporting Chinese, English text recognition |[ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)| 4.9M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_infer.nb) | +|ch_PP-OCRv3_rec| [New] Original lightweight model, supporting Chinese, English, multilingual text recognition |[ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)| 12.4M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar) | +|ch_PP-OCRv2_rec_slim| Slim quantization with distillation lightweight model, supporting Chinese, English text recognition|[ch_PP-OCRv2_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec.yml)| 9.0M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_slim_quant_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_slim_quant_train.tar) | +|ch_PP-OCRv2_rec| Original lightweight model, supporting Chinese, English, and multilingual text recognition |[ch_PP-OCRv2_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec_distillation.yml)|8.5M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_train.tar) | +|ch_ppocr_mobile_slim_v2.0_rec|Slim pruned and quantized lightweight model, supporting Chinese, English and number recognition|[rec_chinese_lite_train_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml)| 6.0M | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_train.tar) | +|ch_ppocr_mobile_v2.0_rec|Original lightweight model, supporting Chinese, English and number recognition|[rec_chinese_lite_train_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml)|5.2M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | +|ch_ppocr_server_v2.0_rec|General model, supporting Chinese, English and number recognition|[rec_chinese_common_train_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_ppocr_v2.0/rec_chinese_common_train_v2.0.yml)|94.8M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | **Note:** The `trained model` is fine-tuned on the `pre-trained model` with real data and synthesized vertical text data, which achieved better performance in the real scene. The `pre-trained model` is directly trained on the full amount of real data and synthesized data, which is more suitable for fine-tuning your dataset. @@ -74,10 +74,10 @@ The relationship of the above models is as follows. |model name|description|config|model size|download| | --- | --- | --- | --- | --- | -|en_PP-OCRv3_rec_slim | [New] Slim quantization with distillation lightweight model, supporting English, English text recognition |[en_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/en_PP-OCRv3_rec.yml)| 3.2M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_infer.nb) | -|en_PP-OCRv3_rec| [New] Original lightweight model, supporting English, English, multilingual text recognition |[en_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/en_PP-OCRv3_rec.yml)| 9.6M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_train.tar) | -|en_number_mobile_slim_v2.0_rec|Slim pruned and quantized lightweight model, supporting English and number recognition|[rec_en_number_lite_train.yml](../../configs/rec/multi_language/rec_en_number_lite_train.yml)| 2.7M | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/en_number_mobile_v2.0_rec_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/en_number_mobile_v2.0_rec_slim_train.tar) | -|en_number_mobile_v2.0_rec|Original lightweight model, supporting English and number recognition|[rec_en_number_lite_train.yml](../../configs/rec/multi_language/rec_en_number_lite_train.yml)|2.6M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_train.tar) | +|en_PP-OCRv3_rec_slim | [New] Slim quantization with distillation lightweight model, supporting English, English text recognition |[en_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/en_PP-OCRv3_rec.yml)| 3.2M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_infer.nb) | +|en_PP-OCRv3_rec| [New] Original lightweight model, supporting English, English, multilingual text recognition |[en_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/en_PP-OCRv3_rec.yml)| 9.6M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_train.tar) | +|en_number_mobile_slim_v2.0_rec|Slim pruned and quantized lightweight model, supporting English and number recognition|[rec_en_number_lite_train.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/multi_language/rec_en_number_lite_train.yml)| 2.7M | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/en_number_mobile_v2.0_rec_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/en_number_mobile_v2.0_rec_slim_train.tar) | +|en_number_mobile_v2.0_rec|Original lightweight model, supporting English and number recognition|[rec_en_number_lite_train.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/multi_language/rec_en_number_lite_train.yml)|2.6M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_train.tar) | **Note:** Dictionary file of all English recognition models is `ppocr/utils/en_dict.txt`. @@ -85,16 +85,16 @@ The relationship of the above models is as follows. |model name| dict file | description|config|model size|download| | --- | --- | --- |--- | --- | --- | -| korean_PP-OCRv3_rec | ppocr/utils/dict/korean_dict.txt |Lightweight model for Korean recognition|[korean_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/korean_PP-OCRv3_rec.yml)|11.0M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/korean_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/korean_PP-OCRv3_rec_train.tar) | -| japan_PP-OCRv3_rec | ppocr/utils/dict/japan_dict.txt |Lightweight model for Japanese recognition|[japan_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/japan_PP-OCRv3_rec.yml)|11.0M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/japan_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/japan_PP-OCRv3_rec_train.tar) | -| chinese_cht_PP-OCRv3_rec | ppocr/utils/dict/chinese_cht_dict.txt | Lightweight model for chinese cht|[chinese_cht_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/chinese_cht_PP-OCRv3_rec.yml)|12.0M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/chinese_cht_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/chinese_cht_PP-OCRv3_rec_train.tar) | -| te_PP-OCRv3_rec | ppocr/utils/dict/te_dict.txt | Lightweight model for Telugu recognition |[te_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/te_PP-OCRv3_rec.yml)|9.6M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/te_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/te_PP-OCRv3_rec_train.tar) | -| ka_PP-OCRv3_rec | ppocr/utils/dict/ka_dict.txt | Lightweight model for Kannada recognition |[ka_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/ka_PP-OCRv3_rec.yml)|9.9M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ka_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ka_PP-OCRv3_rec_train.tar) | -| ta_PP-OCRv3_rec | ppocr/utils/dict/ta_dict.txt |Lightweight model for Tamil recognition|[ta_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/ta_PP-OCRv3_rec.yml)|9.6M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ta_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ta_PP-OCRv3_rec_train.tar) | -| latin_PP-OCRv3_rec | ppocr/utils/dict/latin_dict.txt | Lightweight model for latin recognition | [latin_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/latin_PP-OCRv3_rec.yml) |9.7M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/latin_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/latin_PP-OCRv3_rec_train.tar) | -| arabic_PP-OCRv3_rec | ppocr/utils/dict/arabic_dict.txt | Lightweight model for arabic recognition | [arabic_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/arabic_PP-OCRv3_rec.yml) |9.6M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/arabic_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/arabic_PP-OCRv3_rec_train.tar) | -| cyrillic_PP-OCRv3_rec | ppocr/utils/dict/cyrillic_dict.txt | Lightweight model for cyrillic recognition | [cyrillic_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/cyrillic_PP-OCRv3_rec.yml) |9.6M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/cyrillic_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/cyrillic_PP-OCRv3_rec_train.tar) | -| devanagari_PP-OCRv3_rec | ppocr/utils/dict/devanagari_dict.txt | Lightweight model for devanagari recognition | [devanagari_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/devanagari_PP-OCRv3_rec.yml) |9.9M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/devanagari_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/devanagari_PP-OCRv3_rec_train.tar) | +| korean_PP-OCRv3_rec | ppocr/utils/dict/korean_dict.txt |Lightweight model for Korean recognition|[korean_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/korean_PP-OCRv3_rec.yml)|11.0M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/korean_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/korean_PP-OCRv3_rec_train.tar) | +| japan_PP-OCRv3_rec | ppocr/utils/dict/japan_dict.txt |Lightweight model for Japanese recognition|[japan_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/japan_PP-OCRv3_rec.yml)|11.0M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/japan_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/japan_PP-OCRv3_rec_train.tar) | +| chinese_cht_PP-OCRv3_rec | ppocr/utils/dict/chinese_cht_dict.txt | Lightweight model for chinese cht|[chinese_cht_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/chinese_cht_PP-OCRv3_rec.yml)|12.0M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/chinese_cht_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/chinese_cht_PP-OCRv3_rec_train.tar) | +| te_PP-OCRv3_rec | ppocr/utils/dict/te_dict.txt | Lightweight model for Telugu recognition |[te_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/te_PP-OCRv3_rec.yml)|9.6M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/te_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/te_PP-OCRv3_rec_train.tar) | +| ka_PP-OCRv3_rec | ppocr/utils/dict/ka_dict.txt | Lightweight model for Kannada recognition |[ka_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/ka_PP-OCRv3_rec.yml)|9.9M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ka_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ka_PP-OCRv3_rec_train.tar) | +| ta_PP-OCRv3_rec | ppocr/utils/dict/ta_dict.txt |Lightweight model for Tamil recognition|[ta_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/ta_PP-OCRv3_rec.yml)|9.6M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ta_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ta_PP-OCRv3_rec_train.tar) | +| latin_PP-OCRv3_rec | ppocr/utils/dict/latin_dict.txt | Lightweight model for latin recognition | [latin_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/latin_PP-OCRv3_rec.yml) |9.7M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/latin_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/latin_PP-OCRv3_rec_train.tar) | +| arabic_PP-OCRv3_rec | ppocr/utils/dict/arabic_dict.txt | Lightweight model for arabic recognition | [arabic_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/arabic_PP-OCRv3_rec.yml) |9.6M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/arabic_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/arabic_PP-OCRv3_rec_train.tar) | +| cyrillic_PP-OCRv3_rec | ppocr/utils/dict/cyrillic_dict.txt | Lightweight model for cyrillic recognition | [cyrillic_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/cyrillic_PP-OCRv3_rec.yml) |9.6M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/cyrillic_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/cyrillic_PP-OCRv3_rec_train.tar) | +| devanagari_PP-OCRv3_rec | ppocr/utils/dict/devanagari_dict.txt | Lightweight model for devanagari recognition | [devanagari_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/devanagari_PP-OCRv3_rec.yml) |9.9M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/devanagari_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/devanagari_PP-OCRv3_rec_train.tar) | For a complete list of languages ​​and tutorials, please refer to [Multi-language model](./blog/multi_languages.en.md) @@ -102,8 +102,8 @@ For a complete list of languages ​​and tutorials, please refer to [Multi-lan |model name|description|config|model size|download| | --- | --- | --- | --- | --- | -|ch_ppocr_mobile_slim_v2.0_cls|Slim quantized model for text angle classification|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)| 2.1M | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_slim_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv2/lite/ch_ppocr_mobile_v2.0_cls_infer_opt.nb) | -|ch_ppocr_mobile_v2.0_cls|Original model for text angle classification|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)|1.38M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | +|ch_ppocr_mobile_slim_v2.0_cls|Slim quantized model for text angle classification|[cls_mv3.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/cls/cls_mv3.yml)| 2.1M | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_slim_train.tar) / [nb model](https://paddleocr.bj.bcebos.com/PP-OCRv2/lite/ch_ppocr_mobile_v2.0_cls_infer_opt.nb) | +|ch_ppocr_mobile_v2.0_cls|Original model for text angle classification|[cls_mv3.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/cls/cls_mv3.yml)|1.38M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | ## 4. Paddle-Lite Model diff --git a/docs/ppocr/model_list.md b/docs/ppocr/model_list.md index 2516a70485..aa8c6a3ebe 100644 --- a/docs/ppocr/model_list.md +++ b/docs/ppocr/model_list.md @@ -32,22 +32,22 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 | 模型名称 | 模型简介 | 配置文件 | 推理模型大小 | 下载地址 | | ------- | --------- | ------- | ------------ | ------- | -| ch_PP-OCRv4_det | 【最新】原始超轻量模型，支持中英文、多语种文本检测 | [ch_PP-OCRv4_det_cml.yml](../../configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_cml.yml) | 4.70M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_train.tar) | -| ch_PP-OCRv4_server_det | 【最新】原始高精度模型，支持中英文、多语种文本检测 | [ch_PP-OCRv4_det_teacher.yml](../../configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_teacher.yml) | 110M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_server_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_server_train.tar) | -| ch_PP-OCRv3_det_slim | slim量化+蒸馏版超轻量模型，支持中英文、多语种文本检测 | [ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 1.1M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_distill_train.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_infer.nb) | -| ch_PP-OCRv3_det | 原始超轻量模型，支持中英文、多语种文本检测 | [ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 3.80M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar) | -| ch_PP-OCRv2_det_slim | slim量化+蒸馏版超轻量模型，支持中英文、多语种文本检测 | [ch_PP-OCRv2_det_cml.yml](../../configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml) | 3.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_slim_quant_infer.tar)| -| ch_PP-OCRv2_det | 原始超轻量模型，支持中英文、多语种文本检测 | [ch_PP-OCRv2_det_cml.yml](../../configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml) | 3.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_distill_train.tar) | -| ch_ppocr_mobile_slim_v2.0_det | slim裁剪版超轻量模型，支持中英文、多语种文本检测 | [ch_det_mv3_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml) | 2.60M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_det_prune_infer.tar) | -| ch_ppocr_mobile_v2.0_det | 原始超轻量模型，支持中英文、多语种文本检测 | [ch_det_mv3_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml) | 3.0M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)| -| ch_ppocr_server_v2.0_det | 通用模型，支持中英文、多语种文本检测，比超轻量模型更大，但效果更好 | [ch_det_res18_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml) | 47.0M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar)| +| ch_PP-OCRv4_det | 【最新】原始超轻量模型，支持中英文、多语种文本检测 | [ch_PP-OCRv4_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_cml.yml) | 4.70M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_train.tar) | +| ch_PP-OCRv4_server_det | 【最新】原始高精度模型，支持中英文、多语种文本检测 | [ch_PP-OCRv4_det_teacher.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_teacher.yml) | 110M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_server_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_server_train.tar) | +| ch_PP-OCRv3_det_slim | slim量化+蒸馏版超轻量模型，支持中英文、多语种文本检测 | [ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 1.1M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_distill_train.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_slim_infer.nb) | +| ch_PP-OCRv3_det | 原始超轻量模型，支持中英文、多语种文本检测 | [ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 3.80M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar) | +| ch_PP-OCRv2_det_slim | slim量化+蒸馏版超轻量模型，支持中英文、多语种文本检测 | [ch_PP-OCRv2_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml) | 3.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_slim_quant_infer.tar)| +| ch_PP-OCRv2_det | 原始超轻量模型，支持中英文、多语种文本检测 | [ch_PP-OCRv2_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml) | 3.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_distill_train.tar) | +| ch_ppocr_mobile_slim_v2.0_det | slim裁剪版超轻量模型，支持中英文、多语种文本检测 | [ch_det_mv3_db_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml) | 2.60M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_det_prune_infer.tar) | +| ch_ppocr_mobile_v2.0_det | 原始超轻量模型，支持中英文、多语种文本检测 | [ch_det_mv3_db_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml) | 3.0M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)| +| ch_ppocr_server_v2.0_det | 通用模型，支持中英文、多语种文本检测，比超轻量模型更大，但效果更好 | [ch_det_res18_db_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml) | 47.0M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar)| ### 1.2 英文检测模型 | 模型名称 | 模型简介 | 配置文件 | 推理模型大小 | 下载地址| | -------- | ----------- | --------- | ------------ | --------- | -| en_PP-OCRv3_det_slim | 【最新】slim量化版超轻量模型，支持英文、数字检测 | [ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 1.1M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_distill_train.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_infer.nb) | -| en_PP-OCRv3_det | 【最新】原始超轻量模型，支持英文、数字检测 | [ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 3.8M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_distill_train.tar) | +| en_PP-OCRv3_det_slim | 【最新】slim量化版超轻量模型，支持英文、数字检测 | [ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 1.1M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_distill_train.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_infer.nb) | +| en_PP-OCRv3_det | 【最新】原始超轻量模型，支持英文、数字检测 | [ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 3.8M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_distill_train.tar) | * 注：英文检测模型与中文检测模型结构完全相同，只有训练数据不同，在此仅提供相同的配置文件。 @@ -55,8 +55,8 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 | 模型名称 | 模型简介 | 配置文件 | 推理模型大小 | 下载地址 | | ------ | --------| --------- | ------------ | --------- | -| ml_PP-OCRv3_det_slim | 【最新】slim量化版超轻量模型，支持多语言检测 | [ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 1.1M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_distill_train.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_infer.nb) | -| ml_PP-OCRv3_det | 【最新】原始超轻量模型，支持多语言检测 | [ch_PP-OCRv3_det_cml.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 3.8M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_distill_train.tar) | +| ml_PP-OCRv3_det_slim | 【最新】slim量化版超轻量模型，支持多语言检测 | [ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 1.1M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_distill_train.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_slim_infer.nb) | +| ml_PP-OCRv3_det | 【最新】原始超轻量模型，支持多语言检测 | [ch_PP-OCRv3_det_cml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml) | 3.8M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/Multilingual_PP-OCRv3_det_distill_train.tar) | * 注：多语言检测模型与中文检测模型结构完全相同，只有训练数据不同，在此仅提供相同的配置文件。 @@ -66,15 +66,15 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 | 模型名称 | 模型简介 | 配置文件 | 推理模型大小 | 下载地址 | | ----- | --------- | ------ | ------------ | ------- | -| ch_PP-OCRv4_rec | 【最新】超轻量模型，支持中英文、数字识别 | [ch_PP-OCRv4_rec_distill.yml](../../configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_distill.yml) | 10M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_train.tar) | -| ch_PP-OCRv4_server_rec | 【最新】高精度模型，支持中英文、数字识别 | [ch_PP-OCRv4_rec_hgnet.yml](../../configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_hgnet.yml) | 88M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_server_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_server_train.tar) | -| ch_PP-OCRv3_rec_slim | slim量化版超轻量模型，支持中英文、数字识别 | [ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml) | 4.9M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_train.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_infer.nb) | -| ch_PP-OCRv3_rec | 原始超轻量模型，支持中英文、数字识别 | [ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml) | 12.4M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar) | -| ch_PP-OCRv2_rec_slim | slim量化版超轻量模型，支持中英文、数字识别 | [ch_PP-OCRv2_rec.yml](../../configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec.yml) | 9.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_slim_quant_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_slim_quant_train.tar) | -| ch_PP-OCRv2_rec | 原始超轻量模型，支持中英文、数字识别 | [ch_PP-OCRv2_rec_distillation.yml](../../configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec_distillation.yml) | 8.50M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_train.tar) | -| ch_ppocr_mobile_slim_v2.0_rec | slim裁剪量化版超轻量模型，支持中英文、数字识别 | [rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml) | 6.0M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_train.tar) | -| ch_ppocr_mobile_v2.0_rec | 原始超轻量模型，支持中英文、数字识别 | [rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml) | 5.20M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | -| ch_ppocr_server_v2.0_rec | 通用模型，支持中英文、数字识别 | [rec_chinese_common_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_common_train_v2.0.yml) | 94.8M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | +| ch_PP-OCRv4_rec | 【最新】超轻量模型，支持中英文、数字识别 | [ch_PP-OCRv4_rec_distill.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_distill.yml) | 10M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_train.tar) | +| ch_PP-OCRv4_server_rec | 【最新】高精度模型，支持中英文、数字识别 | [ch_PP-OCRv4_rec_hgnet.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_hgnet.yml) | 88M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_server_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_server_train.tar) | +| ch_PP-OCRv3_rec_slim | slim量化版超轻量模型，支持中英文、数字识别 | [ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml) | 4.9M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_train.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_slim_infer.nb) | +| ch_PP-OCRv3_rec | 原始超轻量模型，支持中英文、数字识别 | [ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml) | 12.4M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar) | +| ch_PP-OCRv2_rec_slim | slim量化版超轻量模型，支持中英文、数字识别 | [ch_PP-OCRv2_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec.yml) | 9.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_slim_quant_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_slim_quant_train.tar) | +| ch_PP-OCRv2_rec | 原始超轻量模型，支持中英文、数字识别 | [ch_PP-OCRv2_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec_distillation.yml) | 8.50M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_train.tar) | +| ch_ppocr_mobile_slim_v2.0_rec | slim裁剪量化版超轻量模型，支持中英文、数字识别 | [rec_chinese_lite_train_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml) | 6.0M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_train.tar) | +| ch_ppocr_mobile_v2.0_rec | 原始超轻量模型，支持中英文、数字识别 | [rec_chinese_lite_train_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml) | 5.20M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | +| ch_ppocr_server_v2.0_rec | 通用模型，支持中英文、数字识别 | [rec_chinese_common_train_v2.0.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/ch_ppocr_v2.0/rec_chinese_common_train_v2.0.yml) | 94.8M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar) / [预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | **说明：** `训练模型`是基于预训练模型在真实数据与竖排合成文本数据上finetune得到的模型，在真实应用场景中有着更好的表现，`预训练模型`则是直接基于全量真实数据与合成数据训练得到，更适合用于在自己的数据集上finetune。 @@ -82,11 +82,11 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 | 模型名称 | 模型简介 | 配置文件| 推理模型大小 | 下载地址| | ------- | -------- | ------ | ------------ | ----- | -| en_PP-OCRv4_rec | 【最新】原始超轻量模型，支持英文、数字识别 | [en_PP-OCRv4_rec.yml](../../configs/rec/PP-OCRv4/en_PP-OCRv4_rec.yml) | 9.7M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/english/en_PP-OCRv4_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/english/en_PP-OCRv4_rec_train.tar) | -| en_PP-OCRv3_rec_slim | slim量化版超轻量模型，支持英文、数字识别 | [en_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/en_PP-OCRv3_rec.yml) | 3.2M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_train.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_infer.nb) | -| en_PP-OCRv3_rec | 原始超轻量模型，支持英文、数字识别 | [en_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/en_PP-OCRv3_rec.yml) | 9.6M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_train.tar) | -| en_number_mobile_slim_v2.0_rec | slim裁剪量化版超轻量模型，支持英文、数字识别 | [rec_en_number_lite_train.yml](../../configs/rec/multi_language/rec_en_number_lite_train.yml) | 2.7M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/en_number_mobile_v2.0_rec_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/en_number_mobile_v2.0_rec_slim_train.tar) | -| en_number_mobile_v2.0_rec | 原始超轻量模型，支持英文、数字识别 | [rec_en_number_lite_train.yml](../../configs/rec/multi_language/rec_en_number_lite_train.yml) | 2.6M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_train.tar) | +| en_PP-OCRv4_rec | 【最新】原始超轻量模型，支持英文、数字识别 | [en_PP-OCRv4_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv4/en_PP-OCRv4_rec.yml) | 9.7M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/english/en_PP-OCRv4_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv4/english/en_PP-OCRv4_rec_train.tar) | +| en_PP-OCRv3_rec_slim | slim量化版超轻量模型，支持英文、数字识别 | [en_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/en_PP-OCRv3_rec.yml) | 3.2M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_train.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_infer.nb) | +| en_PP-OCRv3_rec | 原始超轻量模型，支持英文、数字识别 | [en_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/en_PP-OCRv3_rec.yml) | 9.6M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_train.tar) | +| en_number_mobile_slim_v2.0_rec | slim裁剪量化版超轻量模型，支持英文、数字识别 | [rec_en_number_lite_train.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/multi_language/rec_en_number_lite_train.yml) | 2.7M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/en_number_mobile_v2.0_rec_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/en_number_mobile_v2.0_rec_slim_train.tar) | +| en_number_mobile_v2.0_rec | 原始超轻量模型，支持英文、数字识别 | [rec_en_number_lite_train.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/multi_language/rec_en_number_lite_train.yml) | 2.6M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_train.tar) | **注意：** 所有英文识别模型的字典文件均为`ppocr/utils/en_dict.txt` @@ -94,16 +94,16 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 | 模型名称 | 字典文件 | 模型简介 | 配置文件 | 推理模型大小 | 下载地址 | | ----- | ------ | ------------ | ------ | ------------ | ---- | -| korean_PP-OCRv3_rec | ppocr/utils/dict/korean_dict.txt | 韩文识别 | [korean_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/korean_PP-OCRv3_rec.yml) | 11.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/korean_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/korean_PP-OCRv3_rec_train.tar) | -| japan_PP-OCRv3_rec | ppocr/utils/dict/japan_dict.txt | 日文识别 | [japan_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/japan_PP-OCRv3_rec.yml) | 11.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/japan_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/japan_PP-OCRv3_rec_train.tar) | -| chinese_cht_PP-OCRv3_rec | ppocr/utils/dict/chinese_cht_dict.txt | 中文繁体识别 | [chinese_cht_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/chinese_cht_PP-OCRv3_rec.yml) | 12.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/chinese_cht_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/chinese_cht_PP-OCRv3_rec_train.tar) | -| te_PP-OCRv3_rec | ppocr/utils/dict/te_dict.txt | 泰卢固文识别 | [te_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/te_PP-OCRv3_rec.yml) | 9.6M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/te_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/te_PP-OCRv3_rec_train.tar) | -| ka_PP-OCRv3_rec | ppocr/utils/dict/ka_dict.txt | 卡纳达文识别 | [ka_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/ka_PP-OCRv3_rec.yml) | 9.9M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ka_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ka_PP-OCRv3_rec_train.tar) | -| ta_PP-OCRv3_rec | ppocr/utils/dict/ta_dict.txt | 泰米尔文识别 | [ta_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/ta_PP-OCRv3_rec.yml) | 9.6M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ta_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ta_PP-OCRv3_rec_train.tar) | -| latin_PP-OCRv3_rec | ppocr/utils/dict/latin_dict.txt | 拉丁文识别 | [latin_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/latin_PP-OCRv3_rec.yml) | 9.7M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/latin_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/latin_PP-OCRv3_rec_train.tar) | -| arabic_PP-OCRv3_rec | ppocr/utils/dict/arabic_dict.txt | 阿拉伯字母 | [arabic_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/arabic_PP-OCRv3_rec.yml) | 9.6M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/arabic_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/arabic_PP-OCRv3_rec_train.tar) | -| cyrillic_PP-OCRv3_rec | ppocr/utils/dict/cyrillic_dict.txt | 斯拉夫字母 | [cyrillic_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/cyrillic_PP-OCRv3_rec.yml) | 9.6M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/cyrillic_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/cyrillic_PP-OCRv3_rec_train.tar) | -| devanagari_PP-OCRv3_rec | ppocr/utils/dict/devanagari_dict.txt | 梵文字母 | [devanagari_PP-OCRv3_rec.yml](../../configs/rec/PP-OCRv3/multi_language/devanagari_PP-OCRv3_rec.yml) | 9.9M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/devanagari_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/devanagari_PP-OCRv3_rec_train.tar) | +| korean_PP-OCRv3_rec | ppocr/utils/dict/korean_dict.txt | 韩文识别 | [korean_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/korean_PP-OCRv3_rec.yml) | 11.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/korean_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/korean_PP-OCRv3_rec_train.tar) | +| japan_PP-OCRv3_rec | ppocr/utils/dict/japan_dict.txt | 日文识别 | [japan_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/japan_PP-OCRv3_rec.yml) | 11.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/japan_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/japan_PP-OCRv3_rec_train.tar) | +| chinese_cht_PP-OCRv3_rec | ppocr/utils/dict/chinese_cht_dict.txt | 中文繁体识别 | [chinese_cht_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/chinese_cht_PP-OCRv3_rec.yml) | 12.0M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/chinese_cht_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/chinese_cht_PP-OCRv3_rec_train.tar) | +| te_PP-OCRv3_rec | ppocr/utils/dict/te_dict.txt | 泰卢固文识别 | [te_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/te_PP-OCRv3_rec.yml) | 9.6M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/te_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/te_PP-OCRv3_rec_train.tar) | +| ka_PP-OCRv3_rec | ppocr/utils/dict/ka_dict.txt | 卡纳达文识别 | [ka_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/ka_PP-OCRv3_rec.yml) | 9.9M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ka_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ka_PP-OCRv3_rec_train.tar) | +| ta_PP-OCRv3_rec | ppocr/utils/dict/ta_dict.txt | 泰米尔文识别 | [ta_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/ta_PP-OCRv3_rec.yml) | 9.6M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ta_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/ta_PP-OCRv3_rec_train.tar) | +| latin_PP-OCRv3_rec | ppocr/utils/dict/latin_dict.txt | 拉丁文识别 | [latin_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/latin_PP-OCRv3_rec.yml) | 9.7M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/latin_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/latin_PP-OCRv3_rec_train.tar) | +| arabic_PP-OCRv3_rec | ppocr/utils/dict/arabic_dict.txt | 阿拉伯字母 | [arabic_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/arabic_PP-OCRv3_rec.yml) | 9.6M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/arabic_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/arabic_PP-OCRv3_rec_train.tar) | +| cyrillic_PP-OCRv3_rec | ppocr/utils/dict/cyrillic_dict.txt | 斯拉夫字母 | [cyrillic_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/cyrillic_PP-OCRv3_rec.yml) | 9.6M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/cyrillic_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/cyrillic_PP-OCRv3_rec_train.tar) | +| devanagari_PP-OCRv3_rec | ppocr/utils/dict/devanagari_dict.txt | 梵文字母 | [devanagari_PP-OCRv3_rec.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/multi_language/devanagari_PP-OCRv3_rec.yml) | 9.9M | [推理模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/devanagari_PP-OCRv3_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/PP-OCRv3/multilingual/devanagari_PP-OCRv3_rec_train.tar) | 查看完整语种列表与使用教程请参考: [多语言模型](./blog/multi_languages.md) @@ -111,8 +111,8 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 | 模型名称 | 模型简介 | 配置文件 | 推理模型大小 | 下载地址 | | ---------- | ------------- | ------------- | ------------ | -- | -| ch_ppocr_mobile_slim_v2.0_cls | slim量化版模型，对检测到的文本行文字角度分类 | [cls_mv3.yml](../../configs/cls/cls_mv3.yml) | 2.1M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_infer.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/lite/ch_ppocr_mobile_v2.0_cls_infer_opt.nb) | -| ch_ppocr_mobile_v2.0_cls | 原始分类器模型，对检测到的文本行文字角度分类 | [cls_mv3.yml](../../configs/cls/cls_mv3.yml) | 1.38M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | +| ch_ppocr_mobile_slim_v2.0_cls | slim量化版模型，对检测到的文本行文字角度分类 | [cls_mv3.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/cls/cls_mv3.yml) | 2.1M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_slim_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_infer.tar) / [nb模型](https://paddleocr.bj.bcebos.com/PP-OCRv2/lite/ch_ppocr_mobile_v2.0_cls_infer_opt.nb) | +| ch_ppocr_mobile_v2.0_cls | 原始分类器模型，对检测到的文本行文字角度分类 | [cls_mv3.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/cls/cls_mv3.yml) | 1.38M | [推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | ## 4. Paddle-Lite 模型 diff --git a/docs/ppocr/model_train/finetune.en.md b/docs/ppocr/model_train/finetune.en.md index b683578586..2aee85046a 100644 --- a/docs/ppocr/model_train/finetune.en.md +++ b/docs/ppocr/model_train/finetune.en.md @@ -30,7 +30,7 @@ For more details, please refer to Chapter 2 and Chapter 3。 ### 2.2 Model -It is recommended to choose the PP-OCRv3 model (configuration file: [ch_PP-OCRv3_det_student.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml)，pre-trained model: [ch_PP-OCRv3_det_distill_train.tar](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar), its accuracy and generalization performance is the best pre-training model currently available. +It is recommended to choose the PP-OCRv3 model (configuration file: [ch_PP-OCRv3_det_student.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml)，pre-trained model: [ch_PP-OCRv3_det_distill_train.tar](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar), its accuracy and generalization performance is the best pre-training model currently available. For more PP-OCR series models, please refer to [PP-OCR Series Model Library](../models_list.en.md)。 @@ -99,7 +99,7 @@ For more information on inference methods, please refer to[Paddle Inference doc] ### 3.2 Model -It is recommended to choose the PP-OCRv3 model (configuration file: [ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)，pre-trained model: [ch_PP-OCRv3_rec_train.tar](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar)，its accuracy and generalization performance is the best pre-training model currently available. +It is recommended to choose the PP-OCRv3 model (configuration file: [ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)，pre-trained model: [ch_PP-OCRv3_rec_train.tar](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar)，its accuracy and generalization performance is the best pre-training model currently available. For more PP-OCR series models, please refer to [PP-OCR Series Model Library](../model_list.en.md)。 diff --git a/docs/ppocr/model_train/finetune.md b/docs/ppocr/model_train/finetune.md index a04a589a77..bb851e5f58 100644 --- a/docs/ppocr/model_train/finetune.md +++ b/docs/ppocr/model_train/finetune.md @@ -30,7 +30,7 @@ PaddleOCR提供的PP-OCR系列模型在通用场景中性能优异，能够解 ### 2.2 模型选择 -建议选择PP-OCRv3模型（配置文件：[ch_PP-OCRv3_det_student.yml](../../configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml)，预训练模型：[ch_PP-OCRv3_det_distill_train.tar](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar)）进行微调，其精度与泛化性能是目前提供的最优预训练模型。 +建议选择PP-OCRv3模型（配置文件：[ch_PP-OCRv3_det_student.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml)，预训练模型：[ch_PP-OCRv3_det_distill_train.tar](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar)）进行微调，其精度与泛化性能是目前提供的最优预训练模型。 更多PP-OCR系列模型，请参考[PP-OCR 系列模型库](../model_list.md)。 @@ -99,7 +99,7 @@ PaddleOCR提供的配置文件是在8卡训练（相当于总的batch size是`8* ### 3.2 模型选择 -建议选择PP-OCRv3模型（配置文件：[ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)，预训练模型：[ch_PP-OCRv3_rec_train.tar](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar)）进行微调，其精度与泛化性能是目前提供的最优预训练模型。 +建议选择PP-OCRv3模型（配置文件：[ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)，预训练模型：[ch_PP-OCRv3_rec_train.tar](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar)）进行微调，其精度与泛化性能是目前提供的最优预训练模型。 更多PP-OCR系列模型，请参考[PP-OCR 系列模型库](../model_list.md)。 diff --git a/docs/ppocr/model_train/kie.en.md b/docs/ppocr/model_train/kie.en.md index 8b3be83795..ada9efe99b 100644 --- a/docs/ppocr/model_train/kie.en.md +++ b/docs/ppocr/model_train/kie.en.md @@ -259,9 +259,9 @@ python3 -m paddle.distributed.launch --ips="xx.xx.xx.xx,xx.xx.xx.xx" --gpus '0,1 ### 2.5. Train with Knowledge Distillation -Knowledge distillation is supported in PaddleOCR for KIE model training process. The configuration file is [ser_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml). For more information, please refer to [doc](../model_compress/knowledge_distillation.en.md). +Knowledge distillation is supported in PaddleOCR for KIE model training process. The configuration file is [ser_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml). For more information, please refer to [doc](../model_compress/knowledge_distillation.en.md). -**Note:** The saving and loading logic of the LayoutXLM series KIE models in PaddleOCR is consistent with PaddleNLP, so only the parameters of the student model are saved in the distillation process. If you want to use the saved model for evaluation, you need to use the configuration of the student model (the student model corresponding to the distillation file above is [ser_vi_layoutxlm_xfund_zh.yml](../../configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh.yml). +**Note:** The saving and loading logic of the LayoutXLM series KIE models in PaddleOCR is consistent with PaddleNLP, so only the parameters of the student model are saved in the distillation process. If you want to use the saved model for evaluation, you need to use the configuration of the student model (the student model corresponding to the distillation file above is [ser_vi_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh.yml). ### 2.6. Training on other platform diff --git a/docs/ppocr/model_train/kie.md b/docs/ppocr/model_train/kie.md index 14e3f9a0ee..e4cc61b291 100644 --- a/docs/ppocr/model_train/kie.md +++ b/docs/ppocr/model_train/kie.md @@ -257,9 +257,9 @@ python3 -m paddle.distributed.launch --ips="xx.xx.xx.xx,xx.xx.xx.xx" --gpus '0,1 ### 2.5. 知识蒸馏训练 -PaddleOCR支持了基于U-DML知识蒸馏的关键信息抽取模型训练过程，配置文件请参考：[ser_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)，更多关于知识蒸馏的说明文档请参考：[知识蒸馏说明文档](../model_compress/knowledge_distillation.md)。 +PaddleOCR支持了基于U-DML知识蒸馏的关键信息抽取模型训练过程，配置文件请参考：[ser_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)，更多关于知识蒸馏的说明文档请参考：[知识蒸馏说明文档](../model_compress/knowledge_distillation.md)。 -**注意**： PaddleOCR中LayoutXLM系列关键信息抽取模型的保存与加载逻辑与PaddleNLP保持一致，因此在蒸馏的过程中仅保存了学生模型的参数，如果希望使用保存的模型进行评估，需要使用学生模型的配置（上面的蒸馏文件对应的学生模型为[ser_vi_layoutxlm_xfund_zh.yml](../../configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh.yml)） +**注意**： PaddleOCR中LayoutXLM系列关键信息抽取模型的保存与加载逻辑与PaddleNLP保持一致，因此在蒸馏的过程中仅保存了学生模型的参数，如果希望使用保存的模型进行评估，需要使用学生模型的配置（上面的蒸馏文件对应的学生模型为[ser_vi_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh.yml)） ### 2.6. 其他训练环境 diff --git a/docs/ppocr/model_train/recognition.en.md b/docs/ppocr/model_train/recognition.en.md index f22e3632e5..bc630575ae 100644 --- a/docs/ppocr/model_train/recognition.en.md +++ b/docs/ppocr/model_train/recognition.en.md @@ -130,7 +130,7 @@ If the evaluation set is large, the test will be time-consuming. It is recommend - Tip: You can use the `-c` parameter to select multiple model configurations under the `configs/rec/` path for training. The recognition algorithms supported at [rec_algorithm](../../algorithm/overview.en.md): For training Chinese data, it is recommended to use -[ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml). If you want to try the result of other algorithms on the Chinese data set, please refer to the following instructions to modify the configuration file: +[ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml). If you want to try the result of other algorithms on the Chinese data set, please refer to the following instructions to modify the configuration file: Take `ch_PP-OCRv3_rec_distillation.yml` as an example: diff --git a/docs/ppocr/model_train/recognition.md b/docs/ppocr/model_train/recognition.md index 893b07a127..0d531c593c 100644 --- a/docs/ppocr/model_train/recognition.md +++ b/docs/ppocr/model_train/recognition.md @@ -231,7 +231,7 @@ PaddleOCR支持训练和评估交替进行, 可以在 `configs/rec/PP-OCRv3/en_P **提示：** 可通过 -c 参数选择 `configs/rec/` 路径下的多种模型配置进行训练，PaddleOCR支持的识别算法可以参考[前沿算法列表](../../algorithm/overview.md)： -训练中文数据，推荐使用[ch_PP-OCRv3_rec_distillation.yml](../../configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)，如您希望尝试其他算法在中文数据集上的效果，请参考下列说明修改配置文件： +训练中文数据，推荐使用[ch_PP-OCRv3_rec_distillation.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml)，如您希望尝试其他算法在中文数据集上的效果，请参考下列说明修改配置文件： 以 `ch_PP-OCRv3_rec_distillation.yml` 为例： @@ -381,7 +381,7 @@ PaddleOCR支持了基于知识蒸馏的文本识别模型训练过程，更多 ### 2.7. 多语言模型训练 -PaddleOCR目前已支持80种（除中文外）语种识别，`configs/rec/multi_languages` 路径下提供了一个多语言的配置文件模版: [rec_multi_language_lite_train.yml](../../configs/rec/multi_language/rec_multi_language_lite_train.yml)。 +PaddleOCR目前已支持80种（除中文外）语种识别，`configs/rec/multi_languages` 路径下提供了一个多语言的配置文件模版: [rec_multi_language_lite_train.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/multi_language/rec_multi_language_lite_train.yml)。 按语系划分，目前PaddleOCR支持的语种有： diff --git a/docs/ppstructure/model_train/train_kie.en.md b/docs/ppstructure/model_train/train_kie.en.md index 6453ea3791..91d9b86e73 100644 --- a/docs/ppstructure/model_train/train_kie.en.md +++ b/docs/ppstructure/model_train/train_kie.en.md @@ -26,10 +26,10 @@ We evaluate the methods on the Chinese dataset of [XFUND](https://github.com/doc |Model | Backbone | Task | Config file | Hmean | Inference time (ms) | Download link| | --- | --- | --- | --- | --- | --- | --- | -|VI-LayoutXLM| VI-LayoutXLM-base | SER | [ser_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|**93.19%**| 15.49|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)| -|LayoutXLM| LayoutXLM-base | SER | [ser_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%| 19.49 | [trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)| -|VI-LayoutXLM| VI-LayoutXLM-base | RE | [re_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|**83.92%**| 15.49|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)| -|LayoutXLM| LayoutXLM-base | RE | [re_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%| 19.49|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)| +|VI-LayoutXLM| VI-LayoutXLM-base | SER | [ser_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|**93.19%**| 15.49|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)| +|LayoutXLM| LayoutXLM-base | SER | [ser_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%| 19.49 | [trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)| +|VI-LayoutXLM| VI-LayoutXLM-base | RE | [re_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|**83.92%**| 15.49|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)| +|LayoutXLM| LayoutXLM-base | RE | [re_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%| 19.49|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)| - Note：Inference environment：V100 GPU + cuda10.2 + cudnn8.1.1 + TensorRT 7.2.3.4，tested using fp16. diff --git a/docs/ppstructure/model_train/train_kie.md b/docs/ppstructure/model_train/train_kie.md index 206c26df1b..14835d492b 100644 --- a/docs/ppstructure/model_train/train_kie.md +++ b/docs/ppstructure/model_train/train_kie.md @@ -26,10 +26,10 @@ PP-Structure中关键信息抽取模块的主要特性如下： | 模型 | 骨干网络 | 任务 | 配置文件 | hmean | 预测耗时(ms) | 下载链接 | | ------------ | ----------------- | ---- | ------- | ---------- | ------ | ------ | -| VI-LayoutXLM | VI-LayoutXLM-base | SER | [ser_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml) | **93.19%** | 15.49 | [训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar) | -| LayoutXLM | LayoutXLM-base | SER | [ser_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml) | 90.38% | 19.49 | [训练模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar) | -| VI-LayoutXLM | VI-LayoutXLM-base | RE | [re_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml) | **83.92%** | 15.49 | [训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar) | -| LayoutXLM | LayoutXLM-base | RE | [re_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml) | 74.83% | 19.49 | [训练模型](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar) | +| VI-LayoutXLM | VI-LayoutXLM-base | SER | [ser_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml) | **93.19%** | 15.49 | [训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar) | +| LayoutXLM | LayoutXLM-base | SER | [ser_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml) | 90.38% | 19.49 | [训练模型](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar) | +| VI-LayoutXLM | VI-LayoutXLM-base | RE | [re_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml) | **83.92%** | 15.49 | [训练模型](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar) | +| LayoutXLM | LayoutXLM-base | RE | [re_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml) | 74.83% | 19.49 | [训练模型](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar) | - 注：预测耗时测试条件：V100 GPU + cuda10.2 + cudnn8.1.1 + TensorRT 7.2.3.4，使用FP16进行测试。 diff --git a/docs/ppstructure/models_list.en.md b/docs/ppstructure/models_list.en.md index 57157adc67..cd0f280f03 100644 --- a/docs/ppstructure/models_list.en.md +++ b/docs/ppstructure/models_list.en.md @@ -40,13 +40,13 @@ On XFUND_zh dataset, Accuracy and time cost of different models on V100 GPU are |Model|Backbone|Task|Config|Hmean|Time cost(ms)|Download link| | --- | --- | --- | --- | --- | --- |--- | -|VI-LayoutXLM| VI-LayoutXLM-base | SER | [ser_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|**93.19%**| 15.49| [trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)| -|LayoutXLM| LayoutXLM-base | SER | [ser_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%| 19.49 |[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)| -|LayoutLM| LayoutLM-base | SER | [ser_layoutlm_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutlm_xfund_zh.yml)|77.31%|-|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLM_xfun_zh.tar)| -|LayoutLMv2| LayoutLMv2-base | SER | [ser_layoutlmv2_xfund_zh.yml](../../configs/kie/layoutlm_series/ser_layoutlmv2_xfund_zh.yml)|85.44%|31.46|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLMv2_xfun_zh.tar)| -|VI-LayoutXLM| VI-LayoutXLM-base | RE | [re_vi_layoutxlm_xfund_zh_udml.yml](../../configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|**83.92%**|15.49|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)| -|LayoutXLM| LayoutXLM-base | RE | [re_layoutxlm_xfund_zh.yml](../../configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%|19.49|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)| -|LayoutLMv2| LayoutLMv2-base | RE | [re_layoutlmv2_xfund_zh.yml](../../configs/kie/layoutlm_series/re_layoutlmv2_xfund_zh.yml)|67.77%|31.46|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutLMv2_xfun_zh.tar)| +|VI-LayoutXLM| VI-LayoutXLM-base | SER | [ser_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/ser_vi_layoutxlm_xfund_zh_udml.yml)|**93.19%**| 15.49| [trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)| +|LayoutXLM| LayoutXLM-base | SER | [ser_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutxlm_xfund_zh.yml)|90.38%| 19.49 |[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutXLM_xfun_zh.tar)| +|LayoutLM| LayoutLM-base | SER | [ser_layoutlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutlm_xfund_zh.yml)|77.31%|-|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLM_xfun_zh.tar)| +|LayoutLMv2| LayoutLMv2-base | SER | [ser_layoutlmv2_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/ser_layoutlmv2_xfund_zh.yml)|85.44%|31.46|[trained model](https://paddleocr.bj.bcebos.com/pplayout/ser_LayoutLMv2_xfun_zh.tar)| +|VI-LayoutXLM| VI-LayoutXLM-base | RE | [re_vi_layoutxlm_xfund_zh_udml.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/vi_layoutxlm/re_vi_layoutxlm_xfund_zh_udml.yml)|**83.92%**|15.49|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)| +|LayoutXLM| LayoutXLM-base | RE | [re_layoutxlm_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/re_layoutxlm_xfund_zh.yml)|74.83%|19.49|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutXLM_xfun_zh.tar)| +|LayoutLMv2| LayoutLMv2-base | RE | [re_layoutlmv2_xfund_zh.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/layoutlm_series/re_layoutlmv2_xfund_zh.yml)|67.77%|31.46|[trained model](https://paddleocr.bj.bcebos.com/pplayout/re_LayoutLMv2_xfun_zh.tar)| * Note: The above time cost information just considers inference time without preprocess or postprocess, test environment: `V100 GPU + CUDA 10.2 + CUDNN 8.1.1 + TRT 7.2.3.4` @@ -54,4 +54,4 @@ On wildreceipt dataset, the algorithm result is as follows: |Model|Backbone|Config|Hmean|Download link| | --- | --- | --- | --- | --- | -|SDMGR|VGG6|[configs/kie/sdmgr/kie_unet_sdmgr.yml](../../configs/kie/sdmgr/kie_unet_sdmgr.yml)|86.70%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/kie/kie_vgg16.tar)| +|SDMGR|VGG6|[configs/kie/sdmgr/kie_unet_sdmgr.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/kie/sdmgr/kie_unet_sdmgr.yml)|86.70%|[trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/kie/kie_vgg16.tar)|