调试错误：UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte

代码：

#-*-coding:utf-8-*-
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
filepath = '/media/wzg16/DATA2/Datasets/data/test_data/cat.jpg'

def distort_color(image,color_ordering=0):
    if color_ordering ==0:
        image = tf.image.random_brightness(image,max_delta=32./255.)
        image = tf.image.random_saturation(image,lower=0.5,upper=1.5)
        image = tf.image.random_hue(image,max_delta=0.2)
        image = tf.image.random_contrast(image,lower=0.5,upper=1.5)
    elif color_ordering ==1:
        image = tf.image.random_saturation(image, lower=0.5, upper=1.5)
        image = tf.image.random_brightness(image, max_delta=32. / 255.)
        image = tf.image.random_contrast(image, lower=0.5, upper=1.5)
        image = tf.image.random_hue(image, max_delta=0.2)
    elif color_ordering ==2:
        image = tf.image.random_hue(image, max_delta=0.2)
        image = tf.image.random_brightness(image, max_delta=32. / 255.)
        image = tf.image.random_saturation(image, lower=0.5, upper=1.5)
        image = tf.image.random_contrast(image, lower=0.5, upper=1.5)
    else:
        image = tf.image.random_contrast(image, lower=0.5, upper=1.5)
        image = tf.image.random_brightness(image, max_delta=32. / 255.)
        image = tf.image.random_saturation(image, lower=0.5, upper=1.5)
        image = tf.image.random_hue(image, max_delta=0.2)

    return tf.clip_by_value(image,0.0,1.0)

def preprocess_for_train(image,height,width,bbox):
    if bbox is None:
        bbox = tf.constant([0.0,0.0,1.0,1.0],dtype = tf.float32,shape=[1,1,4])
    if image.dtype != tf.float32:
        image = tf.image.convert_image_dtype(image,tf.float32)

    bbox_begin,bbox_size,_ = tf.image.sample_distorted_bounding_box(tf.shape(image),bounding_boxes=bbox)
    distorted_image = tf.slice(image,bbox_begin,bbox_size)
    ##adjust size
    distorted_image = tf.image.resize_images(distorted_image,[height,width],method=np.random.randint(4))
    ## flip left right
    distorted_image = tf.image.random_flip_left_right(distorted_image)
    ## adjust color
    distorted_image = distort_color(distorted_image,color_ordering=np.random.randint(2))
    return distorted_image

image_raw_data = tf.gfile.FastGFile(filepath,'r').read()

with tf.Session() as sess:
    image_data = tf.image.decode_jpeg(image_raw_data)
    boxes = tf.constant([[[0.05,0.05,0.9,0.7],[0.35,0.47,0.5,0.56]]])

    for i in range(6):
        result = preprocess_for_train(image_data,299,299,boxes)
        plt.subplot(2,3,i+1)
        plt.imshow(result.eval())

    plt.show()

 

出错情况：（pycherm编译器）

错误修改：

        文件读取命令：

image_raw_data = tf.gfile.FastGFile(filepath,'r').read()

        修改成('r'-->'rb')：                   

 image_raw_data = tf.gfile.FastGFile(filepath,'rb').read()