add rknn conversion - install and use scripts, auto convert to rknn after AI training is done and put pt and rknn models to /azaion/models directory

tests/yolo_predictor.py

@@ -0,0 +1,20 @@
+import cv2
+import numpy as np
+import yaml
+
+from predictor import Predictor
+from ultralytics import YOLO
+
+class YOLOPredictor(Predictor):
+    def __init__(self):
+        self.model = YOLO('/azaion/models/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()