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