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Send and receive images using Flask, Numpy and OpenCV
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from __future__ import print_function | |
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'} |
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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) |
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