webcam streamer
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parent
827b77011d
commit
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2 changed files with 64 additions and 10 deletions
23
app.py
23
app.py
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@ -66,25 +66,28 @@ async def detect(websocket: WebSocket):
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# Save data you want to persist across frames in the persistent_data dictionary
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async def handle_detection(camera_id, stream, frame, websocket, model: YOLO, persistent_data):
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try:
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boxes = []
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highest_conf_box = None
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max_conf = -1
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for r in model.track(frame, stream=False, persist=True):
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for box in r.boxes:
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track_id = None
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if hasattr(box, "id") and box.id is not None:
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track_id = box.id.item()
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box_cpu = box.cpu()
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boxes.append({
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"class": model.names[int(box_cpu.cls[0])],
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"confidence": float(box_cpu.conf[0]),
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"id": track_id,
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})
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conf = float(box_cpu.conf[0])
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if conf > max_conf and hasattr(box, "id") and box.id is not None:
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max_conf = conf
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highest_conf_box = {
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"class": model.names[int(box_cpu.cls[0])],
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"confidence": conf,
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"id": box.id.item(),
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}
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# Broadcast to all subscribers of this URL
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detection_data = {
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"type": "imageDetection",
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"cameraIdentifier": camera_id,
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"timestamp": time.time(),
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"data": {
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"detections": boxes,
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"detections": highest_conf_box if highest_conf_box else None,
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"modelId": stream['modelId'],
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"modelName": stream['modelName']
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}
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51
debug/rtsp_webcam.py
Normal file
51
debug/rtsp_webcam.py
Normal file
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@ -0,0 +1,51 @@
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import cv2
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import gi
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import time
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gi.require_version('Gst', '1.0')
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from gi.repository import Gst
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# Initialize GStreamer
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Gst.init(None)
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# Open the default webcam
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cap = cv2.VideoCapture(0)
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# Define the RTSP pipeline using GStreamer
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rtsp_pipeline = (
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"appsrc ! videoconvert ! video/x-raw,format=I420 ! x264enc tune=zerolatency bitrate=2048 speed-preset=ultrafast "
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"! rtph264pay config-interval=1 pt=96 ! udpsink host=127.0.0.1 port=8554"
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)
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# Create GStreamer pipeline
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pipeline = Gst.parse_launch(rtsp_pipeline)
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appsrc = pipeline.get_by_name("appsrc")
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# Start streaming
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pipeline.set_state(Gst.State.PLAYING)
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time.sleep(1)
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while cap.isOpened():
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ret, frame = cap.read()
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if not ret:
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break
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# Convert frame to I420 format (YUV420)
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frame = cv2.cvtColor(frame, cv2.COLOR_BGR2YUV_I420)
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data = frame.tobytes()
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# Push frame to GStreamer pipeline
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buf = Gst.Buffer.new_allocate(None, len(data), None)
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buf.fill(0, data)
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appsrc.emit("push-buffer", buf)
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# Display frame locally (optional)
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cv2.imshow("RTSP Streaming", frame)
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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# Cleanup
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cap.release()
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cv2.destroyAllWindows()
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pipeline.set_state(Gst.State.NULL)
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