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https://github.com/rendies/People-Counting-in-Real-Time.git
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| 4702d6ced1 | |||
| 08a9122c3d | |||
| 38aca22168 | |||
| 1c65521d25 | |||
| 44e79862bf | |||
| 43d69f3bfd | |||
| cd7a2cdc57 | |||
| 556f2f3c70 | |||
| d910d04b79 |
@@ -14,6 +14,7 @@ from flask import Response
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from flask import Flask
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from flask import jsonify
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from flask_cors import CORS, cross_origin
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import subprocess
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t0 = time.time()
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@@ -33,13 +34,13 @@ def counter():
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global people_count
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return jsonify([ 1000, 980, 700, 500, 670, 567, people_count ])
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@app.route("/video")
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@cross_origin()
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def video_feed():
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# return the response generated along with the specific media
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# type (mime type)
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return Response(generate(),
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mimetype = "multipart/x-mixed-replace; boundary=frame")
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# @app.route("/video")
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# @cross_origin()
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# def video_feed():
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# # return the response generated along with the specific media
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# # type (mime type)
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# return Response(generate(),
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# mimetype = "multipart/x-mixed-replace; boundary=frame")
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def open_ffmpeg_stream_process(height, width):
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# args = (
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@@ -48,7 +49,7 @@ def open_ffmpeg_stream_process(height, width):
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# "-f rtsp rtsp://172.23.90.205:8554/stream"
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# ).split()
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args = (
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"ffmpeg -re -stream_loop -1 -f rawvideo -vcodec rawvideo -pix_fmt "
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"ffmpeg -hwaccel cuda -re -stream_loop -1 -f rawvideo -vcodec rawvideo -pix_fmt "
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"rgb24 -s " + str(width) + "x" + str(height) + " -i pipe:0 -pix_fmt nv12 "
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"-c:v libx264 -preset fast -crf 22 -bf 0 "
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"-f rtsp -rtsp_transport tcp rtsp://172.17.2.39/counter"
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@@ -125,9 +126,7 @@ def PeopleCounter():
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if config.Thread:
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vs = thread.ThreadingClass(config.url)
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ret, frame = vs.read()
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height, width, ch = frame.shape
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ffmpeg_process = open_ffmpeg_stream_process(height, width)
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ffmpeg_process = open_ffmpeg_stream_process(1080, 1920)
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# loop over frames from the video stream
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while True:
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# grab the next frame and handle if we are reading from either
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@@ -143,7 +142,7 @@ def PeopleCounter():
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# resize the frame to have a maximum width of 500 pixels (the
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# less data we have, the faster we can process it), then convert
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# the frame from BGR to RGB for dlib
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frame = imutils.resize(frame, width = 500)
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# frame = imutils.resize(frame, width = 640)
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rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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# if the frame dimensions are empty, set them
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@@ -344,9 +343,10 @@ def PeopleCounter():
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writer.write(frame)
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# show the output frame
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ffmpeg_process.stdin.write(frame.astype(np.uint8).tobytes())
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# with lock:
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frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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ffmpeg_process.stdin.write(frame.astype(np.uint8).tobytes())
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# outputFrame = frame.copy()
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# cv2.imshow("Real-Time Monitoring/Analysis Window", frame)
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key = cv2.waitKey(1) & 0xFF
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@@ -386,6 +386,8 @@ def PeopleCounter():
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vs.release()
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# close any open windows
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ffmpeg_process.stdin.close()
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ffmpeg_process.wait()
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cv2.destroyAllWindows()
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def generate():
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