python对图片进行base64加密解密
1 #!/usr/bin/env python 2 # encoding: utf-8 3 import os 4 import glob 5 from PIL import Image 6 import base64 7 from io import BytesIO 8 import matplotlib.pyplot as plt 9 10 picture_dir=os.path.join(os.getcwd(),'*.jpg') 11 for jpgfile in glob.glob(picture_dir): 12 #encode() 13 file = open(jpgfile,'rb') 14 base64_data = base64.b64encode(file.read()) 15 #decode() 16 byte_data = base64.b64decode(base64_data) 17 image_data = BytesIO(byte_data) 18 img = Image.open(image_data) 19 #show pioture 20 plt.imshow(img) 21 plt.show()
客户端代码：
1 #coding=utf-8 2 import requests,base64,json,os,shutil,cv2 3 import numpy as np 4 import logging 5 logging.basicConfig( 6 level=logging.DEBUG, 7 format='%(asctime)s %(levelname)s: %(message)s', 8 datefmt='%Y-%m-%d %H:%M:%S' 9 ) 10 logger = logging.getLogger(__name__) 11 bbox_http_url = 'http://10.172.32.57/get_detect_hand_bbox' 12 # 参数为cv2已read图片 可用cv2.imread(pic_path) 13 def post_for_bbox(img_im): 14 post_data = { 15 'img': base64.b64encode(cv2.imencode('.jpg',img_im)[1]).decode() 16 } 17 r = requests.post(bbox_http_url, data=post_data) 18 if r is not None or r.text is not None: 19 return r.text 20 return None 21 def delete_hand(img_im): 22 ret_text = post_for_bbox(img_im) 23 handObj = json.loads(ret_text) 24 if handObj['status'] == 'success': 25 body = handObj['body'] 26 if 'hand' not in body: 27 return 28 hands = body['hand'] 29 for hand in hands: 30 cv2.rectangle(img_im, (hand[0], hand[1]), (hand[2], hand[3]), (0, 255, 0), 1) 31 # logger.info(hand) 32 # logger.info(handObj) 33 cv2.imshow('pic', img_im) 34 def main(): 35 pic_path = r'E:\JD\AI\dataset\unzip\hand\10_0000736_0_0_0_0.png' 36 img_im = cv2.imread(pic_path) 37 delete_hand(img_im) 38 if __name__=='__main__': 39 main() 40 cv2.waitKey() 41 pass
服务端
1 def base64str_to_im(img_data_str): 2 img_byte = base64.b64decode(img_data_str) 3 img_np_arr = np.fromstring(img_byte,np.uint8) 4 im = cv2.imdecode(img_np_arr,cv2.IMREAD_COLOR) 5 return im
