@tsing90
已经完成t模型和m模型的训练，但是在test.py中测试m_net是遇到一个问题，运行命令python test.py --train_phase=pre_train_m_net，报错如下：
use GPU
Loading model from ./ckpt/pre_train_m_net/model/model_obj.pth...
torch.Size([1, 3, 635, 408]) torch.Size([1, 3, 640, 408])
Traceback (most recent call last):
File "test.py", line 159, in
main(args)
File "test.py", line 155, in main
test(args, myModel)
File "test.py", line 138, in test
frame_seg = seg_process(args, (tensor_img, tensor_tri), net)
File "test.py", line 67, in seg_process
alpha = net(inputs[0], inputs[1])
File "/home/gpower/anaconda3/envs/pytorch0.4/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in call
result = self.forward(*input, **kwargs)
File "/home/gpower/ztj/cv/Matting/pytorch_semantic_human_matting/model/network.py", line 39, in forward
m_net_input = torch.cat((input, trimap), 1)
RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 1. Got 640 and 635 in dimension 2 at /opt/conda/conda-bld/pytorch_1535491974311/work/aten/src/THC/generic/THCTensorMath.cu:87
@tsing90 已经完成t模型和m模型的训练，但是在test.py中测试m_net是遇到一个问题，运行命令python test.py --train_phase=pre_train_m_net，报错如下： use GPU Loading model from ./ckpt/pre_train_m_net/model/model_obj.pth... torch.Size([1, 3, 635, 408]) torch.Size([1, 3, 640, 408]) Traceback (most recent call last): File "test.py", line 159, in
main(args)
File "test.py", line 155, in main
test(args, myModel)
File "test.py", line 138, in test
frame_seg = seg_process(args, (tensor_img, tensor_tri), net)
File "test.py", line 67, in seg_process
alpha = net(inputs[0], inputs[1])
File "/home/gpower/anaconda3/envs/pytorch0.4/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in call
result = self.forward(*input, **kwargs)
File "/home/gpower/ztj/cv/Matting/pytorch_semantic_human_matting/model/network.py", line 39, in forward
m_net_input = torch.cat((input, trimap), 1)
RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 1. Got 640 and 635 in dimension 2 at /opt/conda/conda-bld/pytorch_1535491974311/work/aten/src/THC/generic/THCTensorMath.cu:87
发现图片通过t_net预测的trimap图发生了尺寸的改变，原图是（635,408），而trimap图是（640,408）我仔细看了源代码，也没有找到原因，,请问这是什么原因造成的呢？谢谢！