refactor: single predict.py entrypoint (production + CLI), archive experiments

archive/test_track_crash.py

@@ -0,0 +1,28 @@
+
+import cv2
+import numpy as np
+from ultralytics import YOLO
+import sys
+
+def main():
+    model_path = "/home/jetson/karung/model_karung_truk.engine"
+    print("Loading model...")
+    model = YOLO(model_path)
+    
+    # Warm up
+    print("Warming up model...")
+    dummy = np.zeros((720, 1280, 3), dtype=np.uint8)
+    results = model(dummy, imgsz=640, device="cuda", verbose=False)
+    print("Warm up complete!")
+    
+    # Test tracking
+    print("Testing track on 5 frames...")
+    for i in range(5):
+        print(f"Tracking frame {i+1}...")
+        results = model.track(dummy, persist=True, verbose=False)
+        print(f"Frame {i+1} track complete! Detections count: {len(results[0])}")
+        
+    print("All tests passed successfully!")
+
+if __name__ == '__main__':
+    main()