prevent testloader caching on --notest
parent
35dc935504
commit
a62a45b2dd
8
train.py
8
train.py
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@ -165,8 +165,8 @@ def train(hyp, opt, device, tb_writer=None):
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# Trainloader
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dataloader, dataset = create_dataloader(train_path, imgsz, batch_size, gs, opt,
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hyp=hyp, augment=True, cache=opt.cache_images, rect=opt.rect, rank=rank,
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world_size=opt.world_size, workers=opt.workers)
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hyp=hyp, augment=True, cache=opt.cache_images, rect=opt.rect,
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rank=rank, world_size=opt.world_size, workers=opt.workers)
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mlc = np.concatenate(dataset.labels, 0)[:, 0].max() # max label class
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nb = len(dataloader) # number of batches
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assert mlc < nc, 'Label class %g exceeds nc=%g in %s. Possible class labels are 0-%g' % (mlc, nc, opt.data, nc - 1)
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@ -175,8 +175,8 @@ def train(hyp, opt, device, tb_writer=None):
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if rank in [-1, 0]:
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ema.updates = start_epoch * nb // accumulate # set EMA updates
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testloader = create_dataloader(test_path, imgsz_test, total_batch_size, gs, opt,
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hyp=hyp, augment=False, cache=opt.cache_images, rect=True, rank=-1,
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world_size=opt.world_size, workers=opt.workers)[0] # testloader
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hyp=hyp, augment=False, cache=opt.cache_images and not opt.notest, rect=True,
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rank=-1, world_size=opt.world_size, workers=opt.workers)[0] # testloader
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if not opt.resume:
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labels = np.concatenate(dataset.labels, 0)
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