下载图片

import os
os.makedirs('./image/', exist_ok=True)
IMAGE_URL = "http://image.nationalgeographic.com.cn/2017/1122/20171122113404332.jpg"
def urllib_download():
    from urllib.request import urlretrieve
    urlretrieve(IMAGE_URL, './image/img1.png')     
def request_download():
    import requests
    r = requests.get(IMAGE_URL)
    with open('./image/img2.png', 'wb') as f:
        f.write(r.content)                      
def chunk_download():
    import requests
    r = requests.get(IMAGE_URL, stream=True)    
    with open('./image/img3.png', 'wb') as f:
        for chunk in r.iter_content(chunk_size=32):
            f.write(chunk)
urllib_download()
print('download img1')
request_download()
print('download img2')
chunk_download()
print('download img3')

读取URL图片并转为RGB

推荐方法二

方法一 urllib和cv2

import numpy as np
import urllib
import cv2
def url_to_image(url):
    # download the image, convert it to a NumPy array, and then read
    # it into OpenCV format
    resp = urllib.urlopen(url)
    image = np.asarray(bytearray(resp.read()), dtype="uint8")
    image = cv2.imdecode(image, cv2.IMREAD_COLOR)
    # return the image
    return 
urls = ["https://x.png", "https://x.png"]
for url in urls:
    print "downloading %s" % (url)
    image = url_to_image(url)
    cv2.imshow("Image", image)
    cv2.waitKey(0)

如果担心图片可能不存在或者出错，也可以使用：

import io
import urllib.request
from PIL import Image
url = 'https://cdn.wccftech.com/wp-content/uploads/2017/11/windows-10-iphone-1480x897-86x60.png'
with urllib.request.urlopen(url) as f:
    b = io.BytesIO(f.read())
    im = Image.open(b)
    im.save('out.png')

方法二 requests和PIL

import requests
response = requests.get(_image_url)
if response.status_code == 200:
    _image = Image.open(BytesIO(response.content))
    _image = _image.resize((224,224))
    _image = _image.tobytes() # 转为tfrecrod可存的格式

如果需要接着存入tfrecord，一般不需要这么复杂，tensorflow有自己的图片解码tf.image.decode_jpeg()方法。

image_feature = tf.train.Feature(bytes_list=tf.train.BytesList(value=[_image]))
example = tf.train.Example(
    features=tf.train.Features(feature={
        'label': label_feature,
        'text': text_feature,
        'image': image_feature}))

参考

• https://blog.csdn.net/qq_34504481/article/details/79716106

  base64 -> .jpg

  ```python import base64 imgdata = base64.b64decode(imgstring) filename = ‘some_image.jpg’ # I assume you have a way of picking unique filenames with open(filename, ‘wb’) as f: f.write(imgdata)

  f gets closed when you exit the with statement

  Now save the value of filename to your database

读取图片，并转换为base64编码，存储为string

image_path = ‘http://xxx.jpg‘ with open(image, ‘rb’) as f: image = f.read() image_base64 = str(base64.b64encode(image), encoding=’utf-8’) ```