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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,20 @@ import requests import json import cv2 addr = 'http://localhost:5000' test_url = addr + '/api/test' # prepare headers for http request content_type = 'image/jpeg' headers = {'content-type': content_type} img = cv2.imread('lena.jpg') # encode image as jpeg _, img_encoded = cv2.imencode('.jpg', img) # send http request with image and receive response response = requests.post(test_url, data=img_encoded.tostring(), headers=headers) # decode response print json.loads(response.text) # expected output: {u'message': u'image received. size=124x124'} This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,31 @@ from flask import Flask, request, Response import jsonpickle import numpy as np import cv2 # Initialize the Flask application app = Flask(__name__) # route http posts to this method @app.route('/api/test', methods=['POST']) def test(): r = request # convert string of image data to uint8 nparr = np.fromstring(r.data, np.uint8) # decode image img = cv2.imdecode(nparr, cv2.IMREAD_COLOR) # do some fancy processing here.... # build a response dict to send back to client response = {'message': 'image received. size={}x{}'.format(img.shape[1], img.shape[0]) } # encode response using jsonpickle response_pickled = jsonpickle.encode(response) return Response(response=response_pickled, status=200, mimetype="application/json") # start flask app app.run(host="0.0.0.0", port=5000)