monodepth_dataloader.py 文件源码

def read_image(self, image_path):
        # tf.decode_image does not return the image size, this is an ugly workaround to handle both jpeg and png
        path_length = string_length_tf(image_path)[0]
        file_extension = tf.substr(image_path, path_length - 3, 3)
        file_cond = tf.equal(file_extension, 'jpg')

        image  = tf.cond(file_cond, lambda: tf.image.decode_jpeg(tf.read_file(image_path)), lambda: tf.image.decode_png(tf.read_file(image_path)))

        # if the dataset is cityscapes, we crop the last fifth to remove the car hood
        if self.dataset == 'cityscapes':
            o_height    = tf.shape(image)[0]
            crop_height = (o_height * 4) // 5
            image  =  image[:crop_height,:,:]

        image  = tf.image.convert_image_dtype(image,  tf.float32)
        image  = tf.image.resize_images(image,  [self.params.height, self.params.width], tf.image.ResizeMethod.AREA)

        return image