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Update train.py
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train.py

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@@ -131,7 +131,6 @@ def train():
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eta = int(batch_time * (max_iter - iteration))
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print('Epoch:{}/{} || Epochiter: {}/{} || Iter: {}/{} || L: {:.4f} C: {:.4f} || LR: {:.8f} || Batchtime: {:.4f} s || ETA: {}'.format(epoch, max_epoch, (iteration % epoch_size) + 1, epoch_size, iteration + 1, max_iter, loss_l.item(), loss_c.item(), lr, batch_time, str(datetime.timedelta(seconds=eta))))
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torch.save(net.state_dict(), save_folder + 'Final_FaceBoxes.pth')
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