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| from ultralytics import YOLO | |
| import torch | |
| class PedestrianTracker: | |
| def __init__(self, model_path='yolov8m.pt', device=None): | |
| if device is None: | |
| self.device = 'cuda' if torch.cuda.is_available() else 'cpu' | |
| else: | |
| self.device = device | |
| self.model = YOLO(model_path) | |
| self.model.to(self.device) | |
| def track(self, frame, conf=0.25, persist=True): | |
| """ | |
| Tracks multiple classes: People (0), Bicycle (1), Car (2), Motorcycle (3), Bus (5), Truck (7). | |
| """ | |
| results = self.model.track( | |
| source=frame, | |
| conf=conf, | |
| persist=persist, | |
| tracker="bytetrack.yaml", | |
| classes=[0, 1, 2, 3, 5, 7], # Person + All major vehicles | |
| verbose=False, | |
| device=self.device | |
| ) | |
| return results[0] | |