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140
jetson/stream_with_detection.py
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140
jetson/stream_with_detection.py
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#!/usr/bin/env python3
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"""
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RTSP stream with YOLOv8 ball detection.
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Pushes to mediamtx RTSP server using ffmpeg.
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Usage:
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1. Start mediamtx: /tmp/mediamtx &
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2. Run this script: python3 stream_with_detection.py [source]
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3. View stream: vlc rtsp://pickle:8554/live
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"""
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import cv2
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import subprocess
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import time
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import sys
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from ultralytics import YOLO
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BALL_CLASS_ID = 32 # sports ball in COCO
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WIDTH = 1280
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HEIGHT = 720
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FPS = 15 # Lower FPS for stable streaming
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RTSP_URL = "rtsp://localhost:8554/live"
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def main():
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source = sys.argv[1] if len(sys.argv) > 1 else "/opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4"
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print("Loading YOLOv8n...")
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model = YOLO("yolov8n.pt")
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try:
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model.to("cuda")
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print("Using CUDA")
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except:
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print("Using CPU")
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print(f"Opening: {source}")
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cap = cv2.VideoCapture(source)
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if not cap.isOpened():
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print("ERROR: Cannot open source")
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return 1
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# FFmpeg command to push RTSP
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ffmpeg_cmd = [
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'ffmpeg',
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'-y',
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'-f', 'rawvideo',
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'-vcodec', 'rawvideo',
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'-pix_fmt', 'bgr24',
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'-s', f'{WIDTH}x{HEIGHT}',
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'-r', str(FPS),
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'-i', '-',
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'-c:v', 'libx264',
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'-preset', 'ultrafast',
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'-tune', 'zerolatency',
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'-g', str(FPS * 2),
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'-f', 'rtsp',
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'-rtsp_transport', 'tcp',
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RTSP_URL
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]
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print("Starting ffmpeg RTSP publisher...")
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ffmpeg = subprocess.Popen(
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ffmpeg_cmd,
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stdin=subprocess.PIPE,
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stdout=subprocess.DEVNULL,
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stderr=subprocess.DEVNULL
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)
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print(f"\n{'='*50}")
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print(f"RTSP STREAM: rtsp://pickle:8554/live")
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print(f"{'='*50}")
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print("Press Ctrl+C to stop\n")
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frame_count = 0
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start = time.time()
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total_detections = 0
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frame_time = 1.0 / FPS
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try:
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while True:
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loop_start = time.time()
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ret, frame = cap.read()
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if not ret:
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cap.set(cv2.CAP_PROP_POS_FRAMES, 0)
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continue
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frame = cv2.resize(frame, (WIDTH, HEIGHT))
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# Detection
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results = model(frame, verbose=False, classes=[BALL_CLASS_ID], conf=0.25)
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det_count = 0
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for r in results:
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for box in r.boxes:
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x1, y1, x2, y2 = map(int, box.xyxy[0])
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conf = float(box.conf[0])
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cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 3)
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cv2.putText(frame, f"Ball {conf:.2f}", (x1, y1-10),
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cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
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det_count += 1
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total_detections += 1
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# FPS overlay
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frame_count += 1
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elapsed = time.time() - start
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fps = frame_count / elapsed
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cv2.putText(frame, f"FPS: {fps:.1f} | Det: {det_count}", (10, 30),
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cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 255), 2)
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# Push to ffmpeg
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try:
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ffmpeg.stdin.write(frame.tobytes())
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except BrokenPipeError:
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print("FFmpeg pipe broken, restarting...")
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break
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if frame_count % 100 == 0:
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print(f"Frame {frame_count}, FPS: {fps:.1f}, Total Det: {total_detections}")
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# Rate limiting
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proc_time = time.time() - loop_start
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if proc_time < frame_time:
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time.sleep(frame_time - proc_time)
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except KeyboardInterrupt:
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print("\nStopping...")
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finally:
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elapsed = time.time() - start
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print(f"\nProcessed {frame_count} frames in {elapsed:.1f}s")
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print(f"Average FPS: {frame_count/elapsed:.1f}")
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print(f"Total detections: {total_detections}")
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cap.release()
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ffmpeg.stdin.close()
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ffmpeg.wait()
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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