## VGGEncoder4
vgg4 = load_lua('pretrained/encoder.t7', long_size=8)
e4 = VGGEncoder()
weight_assign(vgg4, e4, {
'conv0': 0,
'conv1_1': 2,
'conv1_2': 5,
'conv2_1': 9,
'conv2_2': 12,
'conv3_1': 16,
'conv3_2': 19,
'conv3_3': 22,
'conv3_4': 25,
'conv4_1': 29,
})
torch.save(e4.state_dict(), 'pretrained/encoder_pretrained.pth')
## VGGDecoder4
inv4 = load_lua('pretrained/recon.t7', long_size=8)
d4 = VGGDecoder(num_class=3,use_softmax=False)
weight_assign(inv4, d4, {
'conv4_1': 1,
'conv3_4': 5,
'conv3_3': 8,
'conv3_2': 11,
'conv3_1': 14,
'conv2_2': 18,
'conv2_1': 21,
'conv1_2': 25,
'conv1_1': 28,
})
p_wct.e4.load_state_dict(torch.load('pth_models/vgg_normalised_conv4.pth'))
p_wct.d4.load_state_dict(torch.load('pth_models/feature_invertor_conv4.pth'))
if __name__ == '__main__':
if not os.path.exists('pth_models'):
os.mkdir('pth_models')
## VGGEncoder1
vgg1 = load_lua('models/vgg_normalised_conv1_1_mask.t7')
e1 = VGGEncoder(1)
weight_assign(vgg1, e1, {
'conv0': 0,
'conv1_1': 2,
})
torch.save(e1.state_dict(), 'pth_models/vgg_normalised_conv1.pth')
## VGGDecoder1
inv1 = load_lua('models/feature_invertor_conv1_1_mask.t7')
d1 = VGGDecoder(1)
weight_assign(inv1, d1, {
'conv1_1': 1,
})
torch.save(d1.state_dict(), 'pth_models/feature_invertor_conv1.pth')
## VGGEncoder2
vgg2 = load_lua('models/vgg_normalised_conv2_1_mask.t7')
e2 = VGGEncoder(2)
weight_assign(vgg2, e2, {
'conv0': 0,
'conv1_1': 2,
p_wct.d4.load_state_dict(
torch.load('pth_models/feature_invertor_conv4.pth'))
if __name__ == '__main__':
if not os.path.exists('pth_models'):
os.mkdir('pth_models')
## VGGEncoder1
vgg1 = load_lua('models/vgg_normalised_conv1_1_mask.t7')
e1 = VGGEncoder(1)
weight_assign(vgg1, e1, {
'conv0': 0,
'conv1_1': 2,
})
torch.save(e1.state_dict(), 'pth_models/vgg_normalised_conv1.pth')
## VGGDecoder1
inv1 = load_lua('models/feature_invertor_conv1_1_mask.t7')
d1 = VGGDecoder(1)
weight_assign(inv1, d1, {
'conv1_1': 1,
})
torch.save(d1.state_dict(), 'pth_models/feature_invertor_conv1.pth')
## VGGEncoder2
vgg2 = load_lua('models/vgg_normalised_conv2_1_mask.t7')
e2 = VGGEncoder(2)
weight_assign(vgg2, e2, {
'conv0': 0,
'conv1_1': 2,
