83 lines
2.9 KiB
Python
Executable file
83 lines
2.9 KiB
Python
Executable file
import argparse
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import os
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import cv2
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import time
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import logging
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import shutil
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import threading # added threading
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from siwatsystem.pympta import load_pipeline_from_zip, run_pipeline
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logging.basicConfig(level=logging.DEBUG, format="%(asctime)s [%(levelname)s] %(message)s")
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# Global variables for frame sharing
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global_frame = None
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global_ret = False
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capture_running = False
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def video_capture_loop(cap):
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global global_frame, global_ret, capture_running
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while capture_running:
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global_ret, global_frame = cap.read()
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time.sleep(0.01) # slight delay to reduce CPU usage
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def clear_cache(cache_dir: str):
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if os.path.exists(cache_dir):
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shutil.rmtree(cache_dir)
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def main(mpta_file: str, video_source: str):
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global capture_running
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CACHE_DIR = os.path.join(".", ".mptacache")
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clear_cache(CACHE_DIR)
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logging.info(f"Loading pipeline from local file: {mpta_file}")
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model_tree = load_pipeline_from_zip(mpta_file, CACHE_DIR)
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if model_tree is None:
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logging.error("Failed to load pipeline.")
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return
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cap = cv2.VideoCapture(video_source)
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if not cap.isOpened():
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logging.error(f"Cannot open video source {video_source}")
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return
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# Start video capture in a separate thread
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capture_running = True
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capture_thread = threading.Thread(target=video_capture_loop, args=(cap,))
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capture_thread.start()
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logging.info("Press 'q' to exit.")
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try:
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while True:
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# Use the global frame and ret updated by the thread
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if not global_ret or global_frame is None:
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continue # wait until a frame is available
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frame = global_frame # local copy to work with
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detection, bbox = run_pipeline(frame, model_tree, return_bbox=True)
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if bbox:
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x1, y1, x2, y2 = bbox
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cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
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label = detection["class"] if detection else "Detection"
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cv2.putText(frame, label, (x1, y1 - 10),
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cv2.FONT_HERSHEY_SIMPLEX, 0.9, (36, 255, 12), 2)
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cv2.imshow("Pipeline Webcam", frame)
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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finally:
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# Stop capture thread and cleanup
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capture_running = False
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capture_thread.join()
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cap.release()
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cv2.destroyAllWindows()
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clear_cache(CACHE_DIR)
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logging.info("Cleaned up .mptacache directory on shutdown.")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Run pipeline webcam utility.")
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parser.add_argument("--mpta-file", type=str, required=True, help="Path to the local pipeline mpta (ZIP) file.")
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parser.add_argument("--video", type=str, default="0", help="Video source (default webcam index 0).")
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args = parser.parse_args()
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video_source = int(args.video) if args.video.isdigit() else args.video
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main(args.mpta_file, video_source)
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