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Fix issues arising when changing input size #9

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Fix issues arising when changing input size #9

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9 changes: 6 additions & 3 deletions model/cnn_geometric_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -115,19 +115,21 @@ def __init__(self, output_dim=6, use_cuda=True, batch_normalization=True, kernel
super(FeatureRegression, self).__init__()
num_layers = len(kernel_sizes)
nn_modules = list()
output_size = feature_size
for i in range(num_layers):
if i==0:
ch_in = feature_size*feature_size
else:
ch_in = channels[i-1]
ch_out = channels[i]
k_size = kernel_sizes[i]
output_size = output_size - k_size + 1
nn_modules.append(nn.Conv2d(ch_in, ch_out, kernel_size=k_size, padding=0))
if batch_normalization:
nn_modules.append(nn.BatchNorm2d(ch_out))
nn_modules.append(nn.ReLU(inplace=True))
self.conv = nn.Sequential(*nn_modules)
self.linear = nn.Linear(ch_out * k_size * k_size, output_dim)
self.linear = nn.Linear(ch_out * output_size * output_size, output_dim)
if use_cuda:
self.conv.cuda()
self.linear.cuda()
Expand Down Expand Up @@ -250,10 +252,11 @@ def forward(self, batch, f_src=None, f_tgt=None, use_theta_GT_aff=False):

#=== STAGE 2 ===#
# warp image 1
_, _, h, w = batch['source_image'].size()
if use_theta_GT_aff==False:
source_image_wrp = self.geoTnf(batch['source_image'],theta_1)
source_image_wrp = self.geoTnf(batch['source_image'],theta_1,out_h=h,out_w=w)
else:
source_image_wrp = self.geoTnf(batch['source_image'],batch['theta_GT_aff'])
source_image_wrp = self.geoTnf(batch['source_image'],batch['theta_GT_aff'],out_h=h,out_w=w)
# feature extraction
f_src_wrp = self.FeatureExtraction(source_image_wrp)
# feature correlation
Expand Down