guanfuchen
guanfuchen
Expected object of type torch.DoubleTensor but found type torch.FloatTensor for argument #2 'weight'
/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):...
Expected object of type torch.DoubleTensor but found type torch.FloatTensor for argument #2 'weight'
@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? 
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  deconvolution   analysis of deconvolution network   
results 
conclusions 
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)