fanwuyang/UMSN-Face-Deblurring
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Update test_face_deblur.py

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rajeevyasarla
2019-09-10 14:09:17 -04:00
committed by GitHub
parent aef5088a9b
commit 76c6cda73d
1 changed files with 8 additions and 8 deletions
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test_face_deblur.py
+8 -8
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@@ -151,15 +151,15 @@ val_depth = torch.FloatTensor(opt.valBatchSize, inputChannelSize, opt.imageSize,
val_ato = torch.FloatTensor(opt.valBatchSize, inputChannelSize, opt.imageSize, opt.imageSize) val_ato = torch.FloatTensor(opt.valBatchSize, inputChannelSize, opt.imageSize, opt.imageSize)
target_128= torch.FloatTensor(opt.batchSize, outputChannelSize, (opt.imageSize/4), (opt.imageSize/4)) target_128= torch.FloatTensor(opt.batchSize, outputChannelSize, (opt.imageSize//4), (opt.imageSize//4))
input_128 = torch.FloatTensor(opt.batchSize, inputChannelSize, (opt.imageSize/4), (opt.imageSize/4)) input_128 = torch.FloatTensor(opt.batchSize, inputChannelSize, (opt.imageSize//4), (opt.imageSize//4))
target_256= torch.FloatTensor(opt.batchSize, outputChannelSize, (opt.imageSize/2), (opt.imageSize/2)) target_256= torch.FloatTensor(opt.batchSize, outputChannelSize, (opt.imageSize//2), (opt.imageSize//2))
input_256 = torch.FloatTensor(opt.batchSize, inputChannelSize, (opt.imageSize/2), (opt.imageSize/2)) input_256 = torch.FloatTensor(opt.batchSize, inputChannelSize, (opt.imageSize//2), (opt.imageSize//2))
val_target_128= torch.FloatTensor(opt.batchSize, outputChannelSize, (opt.imageSize/4), (opt.imageSize/4)) val_target_128= torch.FloatTensor(opt.batchSize, outputChannelSize, (opt.imageSize//4), (opt.imageSize//4))
val_input_128 = torch.FloatTensor(opt.batchSize, inputChannelSize, (opt.imageSize/4), (opt.imageSize/4)) val_input_128 = torch.FloatTensor(opt.batchSize, inputChannelSize, (opt.imageSize//4), (opt.imageSize//4))
val_target_256= torch.FloatTensor(opt.batchSize, outputChannelSize, (opt.imageSize/2), (opt.imageSize/2)) val_target_256= torch.FloatTensor(opt.batchSize, outputChannelSize, (opt.imageSize//2), (opt.imageSize//2))
val_input_256 = torch.FloatTensor(opt.batchSize, inputChannelSize, (opt.imageSize/2), (opt.imageSize/2)) val_input_256 = torch.FloatTensor(opt.batchSize, inputChannelSize, (opt.imageSize//2), (opt.imageSize//2))
target, input, depth, ato = target.cuda(), input.cuda(), depth.cuda(), ato.cuda() target, input, depth, ato = target.cuda(), input.cuda(), depth.cuda(), ato.cuda()
val_target, val_input, val_depth, val_ato = val_target.cuda(), val_input.cuda(), val_depth.cuda(), val_ato.cuda() val_target, val_input, val_depth, val_ato = val_target.cuda(), val_input.cuda(), val_depth.cuda(), val_ato.cuda()