dataset_builder.py 文件源码

def convert_to_grayscale(cls, source_folder, target_folder,
                             extensions=('.jpg', '.jpeg', '.png')):
        """ convert images from RGB to Grayscale"""

        # check source_folder and target_folder:
        cls.check_folder_existance(source_folder, throw_error_if_no_folder=True)
        cls.check_folder_existance(target_folder, display_msg=False)
        if source_folder[-1] == "/":
            source_folder = source_folder[:-1]
        if target_folder[-1] == "/":
            target_folder = target_folder[:-1]

        # read images and reshape:
        print("Convert '", source_folder, "' images to grayscale...")
        for filename in os.listdir(source_folder):
            if os.path.isdir(source_folder + '/' + filename):
                cls.convert_to_grayscale(source_folder + '/' + filename,
                                         target_folder + '/' + filename,
                                         extensions=extensions)
            else:
                if extensions == '' and os.path.splitext(filename)[1] == '':
                    copy2(source_folder + "/" + filename,
                          target_folder + "/" + filename)
                    image = ndimage.imread(target_folder + "/" + filename, flatten=True)
                    misc.imsave(target_folder + "/" + filename, image)
                else:
                    for extension in extensions:
                        if filename.endswith(extension):
                            copy2(source_folder + "/" + filename,
                                  target_folder + "/" + filename)
                            image = ndimage.imread(target_folder + "/" + filename, flatten=True)
                            misc.imsave(target_folder + "/" + filename, image)