| | |
| |
|
| | from ultralytics.yolo.engine.results import Results |
| | from ultralytics.yolo.utils import DEFAULT_CFG, ROOT, ops |
| | from ultralytics.yolo.v8.detect.predict import DetectionPredictor |
| |
|
| |
|
| | class PosePredictor(DetectionPredictor): |
| |
|
| | def __init__(self, cfg=DEFAULT_CFG, overrides=None, _callbacks=None): |
| | super().__init__(cfg, overrides, _callbacks) |
| | self.args.task = 'pose' |
| |
|
| | def postprocess(self, preds, img, orig_imgs): |
| | """Return detection results for a given input image or list of images.""" |
| | preds = ops.non_max_suppression(preds, |
| | self.args.conf, |
| | self.args.iou, |
| | agnostic=self.args.agnostic_nms, |
| | max_det=self.args.max_det, |
| | classes=self.args.classes, |
| | nc=len(self.model.names)) |
| |
|
| | results = [] |
| | for i, pred in enumerate(preds): |
| | orig_img = orig_imgs[i] if isinstance(orig_imgs, list) else orig_imgs |
| | shape = orig_img.shape |
| | pred[:, :4] = ops.scale_boxes(img.shape[2:], pred[:, :4], shape).round() |
| | pred_kpts = pred[:, 6:].view(len(pred), *self.model.kpt_shape) if len(pred) else pred[:, 6:] |
| | pred_kpts = ops.scale_coords(img.shape[2:], pred_kpts, shape) |
| | path = self.batch[0] |
| | img_path = path[i] if isinstance(path, list) else path |
| | results.append( |
| | Results(orig_img=orig_img, |
| | path=img_path, |
| | names=self.model.names, |
| | boxes=pred[:, :6], |
| | keypoints=pred_kpts)) |
| | return results |
| |
|
| |
|
| | def predict(cfg=DEFAULT_CFG, use_python=False): |
| | """Runs YOLO to predict objects in an image or video.""" |
| | model = cfg.model or 'yolov8n-pose.pt' |
| | source = cfg.source if cfg.source is not None else ROOT / 'assets' if (ROOT / 'assets').exists() \ |
| | else 'https://ultralytics.com/images/bus.jpg' |
| |
|
| | args = dict(model=model, source=source) |
| | if use_python: |
| | from ultralytics import YOLO |
| | YOLO(model)(**args) |
| | else: |
| | predictor = PosePredictor(overrides=args) |
| | predictor.predict_cli() |
| |
|
| |
|
| | if __name__ == '__main__': |
| | predict() |
| |
|
