| 25 | self.unmatched_tracks = list() |
| 26 | |
| 27 | def init_track(self, results): |
| 28 | |
| 29 | scores = results["scores"] |
| 30 | classes = results["labels"] |
| 31 | bboxes = results["boxes"] # x1y1x2y2 |
| 32 | |
| 33 | ret = list() |
| 34 | ret_dict = dict() |
| 35 | for idx in range(scores.shape[0]): |
| 36 | if scores[idx] >= self.score_thresh: |
| 37 | self.id_count += 1 |
| 38 | obj = dict() |
| 39 | obj["score"] = float(scores[idx]) |
| 40 | obj["bbox"] = bboxes[idx, :].cpu().numpy().tolist() |
| 41 | obj["tracking_id"] = self.id_count |
| 42 | # obj['vxvy'] = [0.0, 0.0] |
| 43 | obj['active'] = 1 |
| 44 | obj['age'] = 1 |
| 45 | ret.append(obj) |
| 46 | ret_dict[idx] = obj |
| 47 | |
| 48 | self.tracks = ret |
| 49 | self.tracks_dict = ret_dict |
| 50 | return copy.deepcopy(ret) |
| 51 | |
| 52 | |
| 53 | def step(self, output_results): |