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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'} |
| 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) |
Hi, is it possible to send some more information like roi, image_name, etc. with the encoded image using the same server client method.
how can i get image in flask api responce?
frame = analyze_and_modify_frame( frame )
_, frame = cv.imencode('.jpg', frame)
response_pickled = jsonpickle.encode( frame )
return Response(response=response_pickled, status=200, mimetype="application/json") and on receiving client:
frame = jsonpickle.decode( response.text )
frame = frame.tobytes()
How can we send and receive multiple images, is it possible to encapsulate images and other data in a dictionary object and send
it tooks more time to send image to flask, if i tried on localhost it works well but got issue when trying to post image to hosted app. any suggestions?
r = request
nparr = np.fromstring(r.data, np.uint8)
# decode image
img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
img = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE)
img = cv2.imencode('.png', img)
response_pickled = jsonpickle.encode(img)
return Response(response=response_pickled, status=200, mimetype="application
How to get this image rotated back as a response? Any suggestions?
cv2.imencode function not work properly to receive image for example in postman
how can I use cv2.imshow() in server.
Please let us.
@amarnathreddy0201 you can't use cv2.imshow in server
What imshow does, is open a window and display the image in there right?
And from a server side you don't usually have a user interface ... what I would do
1: generate the image using cv2 saving it on a file o just keeping it on memory
2: Find out how to share that image to someone outside the server (Make a RESt API maybe or generate something with sockets)
Maybe this will help https://stackoverflow.com/questions/55822414/how-to-display-an-encoded-opencv-image-on-a-flask-web-server
Thanks for this @kylehounslow passing cv2.IMREAD_COLOR to cv2.imdecode was where I was missing it.[ np.fromstring ](https://numpy.org/devdocs/reference/generated/numpy.fromstring.html) is deprecated tho. np.drombuffer should be used
Anyone that wants to get image from client and store in buffer can use this snippet below for flask
```
original_image = request.files.get('original image')
compare_image = request.files.get('compare image')
original_img = cv2.imdecode(np.frombuffer(original_image.read(), np.uint8), cv2.IMREAD_COLOR)
compare_img = cv2.imdecode(np.frombuffer(compare_image.read(), np.uint8), cv2.IMREAD_COLOR)
known_encoding = face_recognition.face_encodings(original_img)[0]
unknown_encoding = face_recognition.face_encodings(compare_img)[0]
results = face_recognition.compare_faces([known_encoding], unknown_encoding)
@kylehounslow Thanks for the this understandable scripts.
I would like to pass some more additional information along with image to server. Something like below
meta = {'camera': 'camera', 'distance': 'distance'}
response = requests.post(test_url, data=img_encoded.tostring(), headers=headers, json=meta)
And I access this meta information on the server as input_json = r.get_json(force=True)
But this results in error in client side as below.
Traceback (most recent call last):
File "/home/keerti/PycharmProjects/Flask_Api/client.py", line 21, in <module>
print(json.loads(response.text))
File "/usr/lib/python3.10/json/__init__.py", line 346, in loads
return _default_decoder.decode(s)
File "/usr/lib/python3.10/json/decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/usr/lib/python3.10/json/decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
Could you please help me with this? If this is the right way to pass additional information
Hi, I want to know how to pass some parameter in the test() function.
I want to apply sone deeplearning method in image processing, while, deeplearning method is seperate in 2 parts, because the initial part is so time consuming, and I want to pass the model created by the initial function of deeplearning into the test() function, how should I do?
Thanks a lot!