Decode Python (Flask or Werkzeug) photo file uploaded via HTTP POST request in-memory to an OpenCV matrix.

form_to_opencv.py

#
#  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)

upload_form.html

  <form method="POST" enctype="multipart/form-data" action="/TARGET/URL/FOR/UPLOAD">
    <input type="file" name="photo" />
    <input type="submit" />
  </form>

This is really helpful. Thanks for the snippet!

Thanks you.

Not working