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@@ -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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