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@mjul
Created July 2, 2014 19:27
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Decode Python (Flask or Werkzeug) photo file uploaded via HTTP POST request in-memory to an OpenCV matrix.
#
# Example from code built on the Flask web framework (and Werkzeug)
# Accepts uploading a photo file in the 'photo' form member, then
# copies it into a memory byte array and converts it to a numpy array
# which in turn can be decoded by OpenCV.
#
# Beware that this increases the memory pressure and you should
# configure a max request size before doing so.
#
# It saves a round-trip to a temporary file, though.
import flask
from flask import render_template, json, jsonify, request
import numpy as np
import cv2
# ...
# Remember to set a max content length
app = flask.Flask(__name__)
app.config['MAX_CONTENT_LENGTH'] = 16 * 1024 * 1024 # 16 MB
# ...
# Here is the code to convert the post request to an OpenCV object
if request.method == 'POST' and 'photo' in request.files:
photo = request.files['photo']
in_memory_file = io.BytesIO()
photo.save(in_memory_file)
data = np.fromstring(in_memory_file.getvalue(), dtype=np.uint8)
color_image_flag = 1
img = cv2.imdecode(data, color_image_flag)
<form method="POST" enctype="multipart/form-data" action="/TARGET/URL/FOR/UPLOAD">
<input type="file" name="photo" />
<input type="submit" />
</form>
@gachiemchiep
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I think you miss one import line

import io

@paulatavares16
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Thank you!!
That really helped me!

@billhyde
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Thank you!!
That really helped me,too

@agilebean
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thanks a lot!

@bollakarthikeya
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This is really helpful. Thanks for the snippet!

@BmMnInception
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Thanks you.

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ghost commented Nov 8, 2022

Not working

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