GAN_models.py 文件源码

def _read_input(self, filename_queue):
        class DataRecord(object):
            pass

        reader = tf.WholeFileReader()
        key, value = reader.read(filename_queue)
        record = DataRecord()
        decoded_image = tf.image.decode_jpeg(value,
                                             channels=3)  # Assumption:Color images are read and are to be generated

        # decoded_image_4d = tf.expand_dims(decoded_image, 0)
        # resized_image = tf.image.resize_bilinear(decoded_image_4d, [self.target_image_size, self.target_image_size])
        # record.input_image = tf.squeeze(resized_image, squeeze_dims=[0])

        cropped_image = tf.cast(
            tf.image.crop_to_bounding_box(decoded_image, 55, 35, self.crop_image_size, self.crop_image_size),
            tf.float32)
        decoded_image_4d = tf.expand_dims(cropped_image, 0)
        resized_image = tf.image.resize_bilinear(decoded_image_4d, [self.resized_image_size, self.resized_image_size])
        record.input_image = tf.squeeze(resized_image, squeeze_dims=[0])
        return record