AutoEncoder.py 文件源码

def read_my_file_format(self, filename_queue):
        reader = tf.TextLineReader()
        key, record_string = reader.read(filename_queue)
        # "a" means representative value to indicate type for csv cell value.
        image_file_name, depth_file_name = tf.decode_csv(record_string, [["a"], ["a"]])

        image_png_data = tf.read_file(image_file_name)
        depth_png_data = tf.read_file(depth_file_name)
        # channels=1 means image is read as gray-scale
        image_decoded = tf.image.decode_png(image_png_data, channels=1)
        image_decoded.set_shape([512, 512, 1])
        depth_decoded = tf.image.decode_png(depth_png_data, channels=1)
        depth_decoded.set_shape([512, 512, 1])
        return image_decoded, depth_decoded