python之使用tensorflow导入png文件

htmls = "http://www.google.com" 
tree = [0]*255 
trees = [0]*255 
for x in range(255): 
    page = requests.get(htmls) 
    tree[x] = html.fromstring(page.content) 
 
    png = imgkit.from_url(htmls, 'out.png') 
    trees[x] = tf.io.decode_png( 
        'out.png' 
    ) 

它继续想出

tensorflow.python.framework.errors_impl.InvalidArgumentError: Expected image (JPEG, PNG, or GIF), got unknown format starting with 'out.png' [Op:DecodePng] 

虽然 png 从这个命令之外看起来很好

请您参考如下方法:

根据docs第一个参数应该是字符串类型的张量。

with tf.Session() as session: 
     content = tf.placeholder(tf.string) 
     tensor = tf.image.decode_image(contents=content) # your using tf.io.decode_png 
     trees[x] = (session.run(tensor, {content: 'out.png'})) 

读一个img好像很费功夫，我觉得opencv会更好

import cv2 
trees[x] = cv2.imread('out.png')