Hybrid auto-labelling support (#1599)
* Introduce hybrid auto-labelling support * cleanup
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parent
7e846c7d3c
commit
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10
test.py
10
test.py
@ -33,7 +33,8 @@ def test(data,
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dataloader=None,
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save_dir=Path(''), # for saving images
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save_txt=False, # for auto-labelling
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save_conf=False,
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save_hybrid=False, # for hybrid auto-labelling
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save_conf=False, # save auto-label confidences
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plots=True,
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log_imgs=0): # number of logged images
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@ -45,7 +46,6 @@ def test(data,
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else: # called directly
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set_logging()
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device = select_device(opt.device, batch_size=batch_size)
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save_txt = opt.save_txt # save *.txt labels
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# Directories
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save_dir = Path(increment_path(Path(opt.project) / opt.name, exist_ok=opt.exist_ok)) # increment run
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@ -115,7 +115,7 @@ def test(data,
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# Run NMS
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targets[:, 2:] *= torch.Tensor([width, height, width, height]).to(device) # to pixels
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lb = [targets[targets[:, 0] == i, 1:] for i in range(nb)] if save_txt else [] # for autolabelling
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lb = [targets[targets[:, 0] == i, 1:] for i in range(nb)] if save_hybrid else [] # for autolabelling
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t = time_synchronized()
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output = non_max_suppression(inf_out, conf_thres=conf_thres, iou_thres=iou_thres, labels=lb)
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t1 += time_synchronized() - t
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@ -292,6 +292,7 @@ if __name__ == '__main__':
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parser.add_argument('--augment', action='store_true', help='augmented inference')
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parser.add_argument('--verbose', action='store_true', help='report mAP by class')
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parser.add_argument('--save-txt', action='store_true', help='save results to *.txt')
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parser.add_argument('--save-hybrid', action='store_true', help='save label+prediction hybrid results to *.txt')
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parser.add_argument('--save-conf', action='store_true', help='save confidences in --save-txt labels')
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parser.add_argument('--save-json', action='store_true', help='save a cocoapi-compatible JSON results file')
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parser.add_argument('--project', default='runs/test', help='save to project/name')
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@ -313,7 +314,8 @@ if __name__ == '__main__':
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opt.single_cls,
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opt.augment,
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opt.verbose,
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save_txt=opt.save_txt,
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save_txt=opt.save_txt | opt.save_hybrid,
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save_hybrid=opt.save_hybrid,
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save_conf=opt.save_conf,
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)
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