第一种方法 opencv、requests、flask
此方法比较耗费时间 600毫秒左右
客户端代码
#coding:utf-8 import cv2 import json import requests img = cv2.imread("/home/aqonvs.jpg") res = {"image": str(img.tolist()).encode(‘base64‘)} # img是ndarray,无法直接用base64编码,否则会报错 _ = requests.post("http://192.71.30.172:8081", data=json.dumps(res))
服务器端代码
#coding:utf-8 from flask import request, Flask import json import numpy as np import time import cv2 app = Flask(__name__) @app.route("/", methods=[‘POST‘]) def get_frame(): start_time = time.time() res = json.loads(request.data) frame = eval(res["image"].decode("base64")) # dtype为int32 frame = np.array(frame, dtype=np.uint8) cv2.imwrite(‘/home/tmp.jpg‘,frame) duration = time.time() - start_time print(‘duration:[%.0fms]‘ % (duration*1000)) return ‘0000‘ if __name__ == "__main__": app.run("192.71.30.172", port=8081) #端口为8081
第二种 直接利用文件传输 时间在10毫秒以内
客户端代码
#coding:utf-8 import requests url = "xxxxx" str000=‘/home/aqonvs.jpg‘ newname = str000.split(‘/‘) print newname[len(newname)-1] files = {‘file‘:(newname,open(‘/home/aqonvs.jpg‘,‘rb‘),‘image/jpg‘)} r = requests.post(url,files = files) result = r.text print result
服务器端代码
#coding:utf-8 from flask import request, Flask import time import os app = Flask(__name__) @app.route("/", methods=[‘POST‘]) def get_frame(): start_time = time.time() upload_file = request.files[‘file‘] old_file_name = upload_file.filename if upload_file: file_path = os.path.join(‘/home/local/upload/‘, old_file_name) upload_file.save(file_path) print "success" print(‘file saved to %s‘ % file_path) duration = time.time() - start_time print(‘duration:[%.0fms]‘ % (duration*1000)) return ‘success‘ else: return ‘failed‘ if __name__ == "__main__": app.run("127.0.0.1", port=5000)