upload model to cdn and api

switch to yolov11

tests/test-prediction.py

@@ -5,20 +5,23 @@ from ultralytics import YOLO
 import cv2
 from time import sleep
 
-from yolo_predictor import YOLOPredictor
+from predictor import OnnxPredictor, YoloPredictor
 
 # video_url = 'https://www.youtube.com/watch?v=d1n2fDOSo8c'
 # stream = CamGear(source=video_url, stream_mode=True, logging=True).start()
+write_output = False
 
-predictor = YOLOPredictor()
+predictor = YoloPredictor()
 
 fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
 
-input_name = 'ForAI.mp4'
+input_name = 'ForAI_test.mp4'
 output_name = Path(input_name).stem + '_recognised.mp4'
 
 v_input = cv2.VideoCapture(input_name)
-v_output = cv2.VideoWriter(output_name, fourcc, 20.0, (640, 480))
+
+if write_output:
+    v_output = cv2.VideoWriter(output_name, fourcc, 20.0, (640, 480))
 
 while v_input.isOpened():
     ret, frame = v_input.read()
@@ -30,10 +33,12 @@ while v_input.isOpened():
     cv2.imshow('Video', frame_detected)
     sleep(0.01)
 
-    v_output.write(frame_detected)
+    if write_output:
+        v_output.write(frame_detected)
     if cv2.waitKey(1) & 0xFF == ord('q'):
         break
 
 v_input.release()
-v_output.release()
+if write_output:
+    v_output.release()
 cv2.destroyAllWindows()