Autonomous-Camera-Trap-for-Insect-Monitoring/main.py at main · sudipto09/Autonomous-Camera-Trap-for-Insect-Monitoring · GitHub

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"""
main.py

"""

import signal
import time
import cv2

import utils
import camera
import detection
import storage
import stream
from config.settings import INFER_EVERY, FRAME_DELAY


#startup
utils.validate()
utils.report()

session = storage.Session()
writer  = storage.DetectionWriter(session)
model   = detection.load_model()
cam     = camera.open_camera()
flask_active = stream.start()

show_gui = utils.show_preview()
if show_gui:
    cv2.namedWindow("YOLO Live", cv2.WINDOW_NORMAL)

print("Detection running - press Ctrl+C to stop\n")


_running = True

def _shutdown(sig=None, frame=None):
    global _running
    _running = False

signal.signal(signal.SIGTERM, _shutdown)
signal.signal(signal.SIGINT,  _shutdown)


# main loop
frame_id   = 0
infer_tick = 0

try:
    while _running:
        frame_id   += 1
        infer_tick += 1

        # 1. Capture
        raw_frame = cam.read()
        if raw_frame is None:
            if FRAME_DELAY > 0:
                time.sleep(FRAME_DELAY)
            continue

        # 2. Skip inference on intermediate frames
        if infer_tick < INFER_EVERY:
            if flask_active:
                stream.update_frame(raw_frame)
            if FRAME_DELAY > 0:
                time.sleep(FRAME_DELAY)
            continue
        infer_tick = 0

        # 3. Pre-process
        rgb_frame = detection.preprocess(raw_frame)

        # 4. Inference
        detections, annotated = detection.run_inference(model, rgb_frame)

        # 5. Update stream
        if flask_active:
            stream.update_frame(annotated)

        # 6. GUI preview
        if show_gui:
            cv2.imshow("YOLO Live", annotated)
            if cv2.waitKey(1) & 0xFF == ord("q"):
                break

        # 7. Debug print
        if not detections.empty:
            print(detections[["name", "confidence"]].to_string(index=False))
        else:
            print(f"[frame {frame_id}] no detections")

        # 8. Save
        writer.save_detection(frame_id, raw_frame, annotated, detections)

        if FRAME_DELAY > 0:
            time.sleep(FRAME_DELAY)

#clean shutdown
finally:
    cam.release()
    writer.flush()
    cv2.destroyAllWindows()
    print("Clean exit")