HTensor/GwcNet
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fix bug: stride 2->1, global_step when testing

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Xiaoyang Guo 2019-04-14 08:48:49 -04:00
parent 6b8f506591
commit eead4d9e8a
2 changed files with 3 additions and 3 deletions
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2
main.py
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@ -119,7 +119,7 @@ def train():
# testing
avg_test_scalars = AverageMeterDict()
for batch_idx, sample in enumerate(TestImgLoader):
global_step = len(TrainImgLoader) * epoch_idx + batch_idx
global_step = len(TestImgLoader) * epoch_idx + batch_idx
start_time = time.time()
do_summary = global_step % args.summary_freq == 0
loss, scalar_outputs, image_outputs = test_sample(sample, compute_metrics=do_summary)

4
models/gwcnet.py
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@ -71,13 +71,13 @@ class hourglass(nn.Module):
self.conv1 = nn.Sequential(convbn_3d(in_channels, in_channels * 2, 3, 2, 1),
nn.ReLU(inplace=True))
self.conv2 = nn.Sequential(convbn_3d(in_channels * 2, in_channels * 2, 3, 2, 1),
self.conv2 = nn.Sequential(convbn_3d(in_channels * 2, in_channels * 2, 3, 1, 1),
nn.ReLU(inplace=True))
self.conv3 = nn.Sequential(convbn_3d(in_channels * 2, in_channels * 4, 3, 2, 1),
nn.ReLU(inplace=True))
self.conv4 = nn.Sequential(convbn_3d(in_channels * 4, in_channels * 4, 3, 2, 1),
self.conv4 = nn.Sequential(convbn_3d(in_channels * 4, in_channels * 4, 3, 1, 1),
nn.ReLU(inplace=True))
self.conv5 = nn.Sequential(