Merge pull request #165 from zjysteven/main

Minor fix

Author: zjysteven

CONTRIBUTING.md

@@ -47,3 +47,22 @@ From the repository folder
 ```shell
 pre-commit install
 ```
+
+## Contributing to OpenOOD leaderboard
+
+We welcome new entries submitted to the leaderboard. Please follow the instructions below to submit your results.
+
+1. Evaluate your model/method with OpenOOD's benchmark and evaluator such that the comparison is fair.
+
+2. Report your new results by opening an issue. Remember to specify the following information:
+
+- **`Training`**: The training method of your model, e.g., `CrossEntropy`.
+- **`Postprocessor`**: The postprocessor of your model, e.g., `MSP`, `ReAct`, etc.
+- **`Near-OOD AUROC`**: The AUROC score of your model on the near-OOD split.
+- **`Far-OOD AUROC`**: The AUROC score of your model on the far-OOD split.
+- **`ID Accuracy`**: The accuracy of your model on the ID test data.
+- **`Outlier Data`**: Whether your model uses the outlier data for training.
+- **`Model Arch.`**: The architecture of your base classifier, e.g., `ResNet18`.
+- **`Additional Description`**: Any additional description of your model, e.g., `100 epochs`, `torchvision pretrained`, etc.
+
+3. Ideally, send us a copy of your model checkpoint so that we can verify your results on our end. You can either upload the checkpoint to a cloud storage and share the link in the issue, or send us an email at [jz288@duke.edu](mailto:jz288@duke.edu).

openood/preprocessors/cider_preprocessor.py

@@ -44,6 +44,8 @@ def __init__(self, config: Config):
                 tvs_trans.Normalize(mean=self.mean, std=self.std),
             ])
 
+        self.transform = TwoCropTransform(self.transform)
+
     def setup(self, **kwargs):
         pass
 

openood/preprocessors/utils.py

@@ -1,7 +1,7 @@
 from openood.utils import Config
 
 from .base_preprocessor import BasePreprocessor
-from .cider_preprocessor import CiderPreprocessor, TwoCropTransform
+from .cider_preprocessor import CiderPreprocessor
 from .csi_preprocessor import CSIPreprocessor
 from .cutpaste_preprocessor import CutPastePreprocessor
 from .draem_preprocessor import DRAEMPreprocessor
@@ -31,10 +31,7 @@ def get_preprocessor(config: Config, split):
     }
 
     if split == 'train':
-        if config.preprocessor.name == 'cider':
-            return TwoCropTransform(CiderPreprocessor(config))
-        else:
-            return train_preprocessors[config.preprocessor.name](config)
+        return train_preprocessors[config.preprocessor.name](config)
     else:
         try:
             return test_preprocessors[config.preprocessor.name](config)