Tensorflow v0.12图像不displying调整后

我管理使用下面的代码来显示图像：Tensorflow v0.12图像不displying调整后

import os 
import tensorflow as tf 
from tensorflow.python.framework import ops 
from tensorflow.python.framework import dtypes 
import numpy as np 
import glob 
import fnmatch 
import matplotlib.pyplot as plt 
from PIL import Image 

def test1(path): 

    filename_queue = tf.train.string_input_producer(tf.train.match_filenames_once(path)) 

    image_reader = tf.WholeFileReader() 

    label, image_file = image_reader.read(filename_queue) 

    image = tf.image.decode_jpeg(image_file,3) 

    print(image)  

    image = tf.image.resize_images(image, [224 , 224]) 

    print(image) 

    with tf.Session() as sess: 

     tf.global_variables_initializer().run() 

     coord = tf.train.Coordinator() 
     threads = tf.train.start_queue_runners(coord=coord) 

     for i in range(1): 
      img = image.eval()  

     Image.fromarray(np.asarray(img)).show() 


     coord.request_stop() 
     coord.join(threads) 

    sess.close() 

if __name__== "__main__": 

    test1("./data/test1/1099.jpg")

给它：

import os 
import tensorflow as tf 
from tensorflow.python.framework import ops 
from tensorflow.python.framework import dtypes 
import numpy as np 
import glob 
import fnmatch 
import matplotlib.pyplot as plt 
from PIL import Image 

def test1(path): 

    filename_queue = tf.train.string_input_producer(tf.train.match_filenames_once(path)) 

    image_reader = tf.WholeFileReader() 

    label, image_file = image_reader.read(filename_queue) 

    image = tf.image.decode_jpeg(image_file,3) 

    print(image)  


    with tf.Session() as sess: 

     tf.global_variables_initializer().run() 

     coord = tf.train.Coordinator() 
     threads = tf.train.start_queue_runners(coord=coord) 

     for i in range(1): 
      img = image.eval()  

     Image.fromarray(np.asarray(img)).show() 


     coord.request_stop() 
     coord.join(threads) 

    sess.close() 

if __name__== "__main__": 

    test1("./data/test1/1099.jpg")

然而

当我使用下面的代码调整图像大小以下错误信息：

raise TypeError（“无法处理此数据类型”） TypeError：无法处理此数据类型

感谢

来源

2017-03-17 dragon

那么什么是影像D型？打印（image.dtype）或打印（tf.DType（图片）） – Steven

@Steven感谢您回复我的问题。 print（image.dtype）产生张量（“DecodeJpeg：0”，shape =（?,？3），dtype = uint8），同时print（tf.DType（image））产生TypeError ：int（）参数必须是一个字符串或数字，而不是'张量' – dragon

很高兴你把它修好了。您应该接受您的答案，以便您可以结束该问题。 – Steven

管理来解决它

import os 
import tensorflow as tf 
from tensorflow.python.framework import ops 
from tensorflow.python.framework import dtypes 
import numpy as np 
import glob 
import fnmatch 
import matplotlib.pyplot as plt 
from PIL import Image 

def test1(path): 

    filename_queue = tf.train.string_input_producer(tf.train.match_filenames_once(path)) 

    image_reader = tf.WholeFileReader() 

    label, image_file = image_reader.read(filename_queue) 

    image = tf.image.decode_jpeg(image_file,3) 

    print(image)  

    image = tf.image.resize_images(image, [224 , 224]) 

    print(image) 

    with tf.Session() as sess: 

     tf.global_variables_initializer().run() 

     coord = tf.train.Coordinator() 
     threads = tf.train.start_queue_runners(coord=coord) 

     for i in range(1): 
      img = image.eval()  

     Image.fromarray(np.asarray(img.astype(np.uint8))).show() 


     coord.request_stop() 
     coord.join(threads) 

    sess.close() 

if __name__== "__main__": 

    test1("./data/test1/1099.jpg")

谢谢大家:)

来源

2017-03-17 09:00:25 dragon

Tensorflow v0.12图像不displying调整后

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