str --> string

chainercv/datasets/directory_parsing_label_dataset.py

@@ -17,7 +17,7 @@ def directory_parsing_label_names(root, numerical_sort=False):
     that is used by the dataset to refer the label.
 
     Args:
-        root (str): The root directory.
+        root (string): The root directory.
         numerical_sort (bool): Label names are sorted numerically.
             This means that label :obj:`2` is before label :obj:`10`,
             which is not the case when string sort is used.
@@ -100,7 +100,7 @@ class DirectoryParsingLabelDataset(GetterDataset):
         array([0, 0, 1])
 
     Args:
-        root (str): The root directory.
+        root (string): The root directory.
         check_img_file (callable): A function to determine
             if a file should be included in the dataset.
         color (bool): If :obj:`True`, this dataset read images

chainercv/extensions/vis_report/detection_vis_report.py

@@ -64,7 +64,7 @@ class DetectionVisReport(chainer.training.extension.Extension):
     Args:
         iterator: Iterator object that produces images and ground truth.
         target: Link object used for detection.
-        label_names (iterable of str): Name of labels ordered according
+        label_names (iterable of strings): Name of labels ordered according
             to label ids. If this is :obj:`None`, labels will be skipped.
         filename (str): Basename for the saved image. It can contain two
             keywords, :obj:`'{iteration}'` and :obj:`'{index}'`. They are

chainercv/links/model/faster_rcnn/faster_rcnn_vgg.py

@@ -42,7 +42,7 @@ class FasterRCNNVGG16(FasterRCNN):
 
     Args:
         n_fg_class (int): The number of classes excluding the background.
-        pretrained_model (str): The destination of the pre-trained
+        pretrained_model (string): The destination of the pre-trained
             chainer model serialized as a :obj:`.npz` file.
             If this is one of the strings described
             above, it automatically loads weights stored under a directory

chainercv/links/model/resnet/resnet.py

@@ -68,7 +68,7 @@ class ResNet(PickableSequentialChain):
             the number of classes used to train the pretrained model
             is used. Otherwise, the number of classes in ILSVRC 2012 dataset
             is used.
-        pretrained_model (str): The destination of the pre-trained
+        pretrained_model (string): The destination of the pre-trained
             chainer model serialized as a :obj:`.npz` file.
             If this is one of the strings described
             above, it automatically loads weights stored under a directory
@@ -86,7 +86,7 @@ class ResNet(PickableSequentialChain):
             convolution kernels.
         fc_kwargs (dict): Keyword arguments passed to initialize
             the :class:`chainer.links.Linear`.
-        arch (str): If :obj:`fb`, use Facebook ResNet
+        arch (string): If :obj:`fb`, use Facebook ResNet
             architecture. When :obj:`he`, use the architecture presented
             by `the original ResNet paper \
             <https://arxiv.org/pdf/1512.03385.pdf>`_.

chainercv/links/model/segnet/segnet_basic.py

@@ -41,7 +41,7 @@ class SegNetBasic(chainer.Chain):
     Args:
         n_class (int): The number of classes. If :obj:`None`, it can
             be infered if :obj:`pretrained_model` is given.
-        pretrained_model (str): The destination of the pretrained
+        pretrained_model (string): The destination of the pretrained
             chainer model serialized as a :obj:`.npz` file.
             If this is one of the strings described
             above, it automatically loads weights stored under a directory

chainercv/links/model/ssd/ssd_vgg16.py

@@ -222,7 +222,7 @@ class SSD300(SSD):
 
     Args:
        n_fg_class (int): The number of classes excluding the background.
-       pretrained_model (str): The weight file to be loaded.
+       pretrained_model (string): The weight file to be loaded.
            This can take :obj:`'voc0712'`, `filepath` or :obj:`None`.
            The default value is :obj:`None`.
 
@@ -289,7 +289,7 @@ class SSD512(SSD):
 
     Args:
        n_fg_class (int): The number of classes excluding the background.
-       pretrained_model (str): The weight file to be loaded.
+       pretrained_model (string): The weight file to be loaded.
            This can take :obj:`'voc0712'`, `filepath` or :obj:`None`.
            The default value is :obj:`None`.
 

chainercv/links/model/vgg/vgg16.py

@@ -68,7 +68,7 @@ class VGG16(PickableSequentialChain):
             the number of classes used to train the pretrained model
             is used. Otherwise, the number of classes in ILSVRC 2012 dataset
             is used.
-        pretrained_model (str): The destination of the pre-trained
+        pretrained_model (string): The destination of the pre-trained
             chainer model serialized as a :obj:`.npz` file.
             If this is one of the strings described
             above, it automatically loads weights stored under a directory

chainercv/links/model/yolo/yolo_v2.py

@@ -94,7 +94,7 @@ class YOLOv2(YOLOBase):
 
     Args:
         n_fg_class (int): The number of classes excluding the background.
-        pretrained_model (str): The weight file to be loaded.
+        pretrained_model (string): The weight file to be loaded.
             This can take :obj:`'voc0712'`, `filepath` or :obj:`None`.
             The default value is :obj:`None`.
 

chainercv/links/model/yolo/yolo_v3.py

@@ -108,7 +108,7 @@ class YOLOv3(YOLOBase):
 
     Args:
        n_fg_class (int): The number of classes excluding the background.
-       pretrained_model (str): The weight file to be loaded.
+       pretrained_model (string): The weight file to be loaded.
            This can take :obj:`'voc0712'`, `filepath` or :obj:`None`.
            The default value is :obj:`None`.
 

chainercv/utils/download.py

@@ -54,10 +54,10 @@ def cached_download(url):
     downloading the same file.
 
     Args:
-        url (str): URL to download from.
+        url (string): URL to download from.
 
     Returns:
-        str: Path to the downloaded file.
+        string: Path to the downloaded file.
 
     """
     cache_root = os.path.join(get_dataset_root(), '_dl_cache')
@@ -101,10 +101,10 @@ def download_model(url):
     it just returns the path without downloading the same file.
 
     Args:
-        url (str): URL to download from.
+        url (string): URL to download from.
 
     Returns:
-        str: Path to the downloaded file.
+        string: Path to the downloaded file.
 
     """
     root = get_dataset_directory(
@@ -123,10 +123,10 @@ def extractall(file_path, destination, ext):
     This function extracts an archive file to a destination.
 
     Args:
-        file_path (str): The path of a file to be extracted.
-        destination (str): A directory path. The archive file
+        file_path (string): The path of a file to be extracted.
+        destination (string): A directory path. The archive file
             will be extracted under this directory.
-        ext (str): An extension suffix of the archive file.
+        ext (string): An extension suffix of the archive file.
             This function supports :obj:`'.zip'`, :obj:`'.tar'`,
             :obj:`'.gz'` and :obj:`'.tgz'`.
 

chainercv/utils/image/read_image.py

@@ -10,7 +10,7 @@ def read_image(path, dtype=np.float32, color=True):
     order of the channels is RGB.
 
     Args:
-        path (str): A path of image file.
+        path (string): A path of image file.
         dtype: The type of array. The default value is :obj:`~numpy.float32`.
         color (bool): This option determines the number of channels.
             If :obj:`True`, the number of channels is three. In this case,

chainercv/utils/image/write_image.py

@@ -10,7 +10,7 @@ def write_image(img, path):
 
     Args:
         image (~numpy.ndarray): An image to be saved.
-        path (str): The path of an image file.
+        path (string): The path of an image file.
 
     """