upload model to cdn and api

switch to yolov11

tests/predictor.py

@@ -1,6 +1,33 @@
 from abc import ABC, abstractmethod
+from ultralytics import YOLO
+import yaml
+
 
 class Predictor(ABC):
     @abstractmethod
     def predict(self, frame):
         pass
+
+
+class OnnxPredictor(Predictor):
+    def __init__(self):
+        self.model = YOLO('azaion.onnx')
+        self.model.task = 'detect'
+        with open('data.yaml', 'r') as f:
+            data_yaml = yaml.safe_load(f)
+        class_names = data_yaml['names']
+
+        names = self.model.names
+
+    def predict(self, frame):
+        results = self.model.track(frame, persist=True, tracker='bytetrack.yaml')
+        return results[0].plot()
+
+
+class YoloPredictor(Predictor):
+    def __init__(self):
+        self.model = YOLO('azaion.pt')
+
+    def predict(self, frame):
+        results = self.model.track(frame, persist=True, tracker='bytetrack.yaml')
+        return results[0].plot()