| _base_ = ["anet_tsp.py"] | |
| evaluation = dict( | |
| type="Recall", | |
| subset="validation", | |
| topk=[1, 5, 10, 100], | |
| max_avg_nr_proposals=100, | |
| tiou_thresholds=[0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95], | |
| ) | |
| post_processing = dict( | |
| score_type="iou*s*e", | |
| proposal=True, | |
| nms=dict( | |
| use_soft_nms=True, | |
| sigma=0.4, | |
| max_seg_num=100, | |
| iou_threshold=0, # does not matter when use soft nms | |
| min_score=0, | |
| multiclass=False, | |
| voting_thresh=0.95, # set 0 to disable | |
| method=3, | |
| t1=0.5, | |
| t2=0.4, | |
| ), | |
| external_cls=dict(_delete_=True, type="PseudoClassifier"), | |
| save_dict=False, | |
| ) | |