guanfuchen

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/usr/bin/python /Users/cgf/GitHub/GitWeb/dface/test_image.py /Users/cgf/GitHub/GitWeb/dface/dface/core/models.py:8: UserWarning: nn.init.xavier_uniform is now deprecated in favor of nn.init.xavier_uniform_. nn.init.xavier_uniform(m.weight.data) /Users/cgf/GitHub/GitWeb/dface/dface/core/models.py:9: UserWarning: nn.init.constant is now deprecated in favor of nn.init.constant_. nn.init.constant(m.bias, 0.1) Traceback (most recent call last):...

@wting861006,I meet the same error with you, but I am running the code in mac osx, it is ok if you use ubuntu. I think it may be a bug...

@johnathanchiu I can train it using the old version in the pytorch-semseg project, what is the log? ![image](https://user-images.githubusercontent.com/22321977/48749340-6efb5180-ecb5-11e8-9e19-731724d943c5.png)

I either can not find this version of FCN.

@shahabty Thanks for your paper for the detail about ResNet101-FCN,I will try my code [fcn_resnet.py](https://github.com/guanfuchen/semseg/blob/master/semseg/modelloader/fcn_resnet.py) to experiment. Here is some doubt: - the upsampling in the origin paper choice, bi-linear-upsample...

same problem, and I wonder whether the color map is not same with the origin paper. I try to test like blew: ```python label_colours = np.array([Sky, Building, Pole, Road, Pavement,...

unpooling ![image](https://user-images.githubusercontent.com/22321977/50040653-d02efe80-0082-11e9-892a-217dafb4087d.png) deconvolution ![image](https://user-images.githubusercontent.com/22321977/50040658-d91fd000-0082-11e9-8cb0-9f89f29735f6.png) ![image](https://user-images.githubusercontent.com/22321977/50040660-e1780b00-0082-11e9-8c7f-3d353a796ccb.png) analysis of deconvolution network ![image](https://user-images.githubusercontent.com/22321977/50040662-f5237180-0082-11e9-9353-626a75787781.png) ![image](https://user-images.githubusercontent.com/22321977/50040664-fce31600-0082-11e9-9e99-0e2ef9a0cb3a.png) ![image](https://user-images.githubusercontent.com/22321977/50040667-040a2400-0083-11e9-8213-171001718292.png)

results ![image](https://user-images.githubusercontent.com/22321977/50040675-2ac85a80-0083-11e9-9486-52195edd5426.png)

conclusions ![image](https://user-images.githubusercontent.com/22321977/50040678-34ea5900-0083-11e9-993c-44a6ea909982.png)

I get the code from [the repo](https://github.com/ycszen/pytorch-segmentation/blob/master/gcn.py), the code in my repo is [gcn.py](https://github.com/guanfuchen/semseg/blob/master/semseg/modelloader/gcn.py)