webstream and barcode recognition running in parallel
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@ -1,14 +1,27 @@
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from flask import Flask, render_template, Response
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from flask import Flask, render_template, Response
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import cv2
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import cv2
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import imutils
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from imutils.video import VideoStream
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from pyzbar import pyzbar
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import time
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app = Flask(__name__)
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app = Flask(__name__)
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vs = VideoStream(src=0).start()
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time.sleep(2)
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frame = None
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def stream(camera_index):
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def stream(camera_index):
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cam = cv2.VideoCapture(camera_index)
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global frame
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while True:
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while True:
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_, frame = cam.read()
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raw_frame = vs.read()
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frame = cv2.resize(frame,(400, 240))
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stream_frame = imutils.resize(raw_frame, width=400)
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ret, jpg = cv2.imencode('.jpg', frame)
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decode_frame = imutils.resize(raw_frame, width=800)
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barcodes = pyzbar.decode(decode_frame)
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for barcode in barcodes:
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barcode_data = barcode.data.decode("utf-8")
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print(barcode_data)
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ret, jpg = cv2.imencode('.jpg', stream_frame)
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jpg2bytes = jpg.tobytes()
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jpg2bytes = jpg.tobytes()
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yield b'--frame\r\nContent-Type: image/jpeg\r\n\r\n' + jpg2bytes + b'\r\n\r\n'
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yield b'--frame\r\nContent-Type: image/jpeg\r\n\r\n' + jpg2bytes + b'\r\n\r\n'
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@ -21,4 +34,4 @@ def stream_fedd():
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return Response(stream(0), mimetype='multipart/x-mixed-replace; boundary=frame')
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return Response(stream(0), mimetype='multipart/x-mixed-replace; boundary=frame')
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if __name__ == '__main__':
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if __name__ == '__main__':
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app.run(debug=True, port=5000, host='0.0.0.0')
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app.run(debug=False, port=5000, host='0.0.0.0')
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