Deformable-Convolution-V2-PyTorch
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chengdazhi
Deformable ConvNets V2 (DCNv2) in PyTorch
Traceback (most recent call last): File "build.py", line 3, in from torch.utils.ffi import create_extension File "/usr/local/lib/python3.6/dist-packages/torch/utils/ffi/__init__.py", line 1, in raise ImportError("torch.utils.ffi is deprecated. Please use cpp extensions instead.") ImportError: torch.utils.ffi...
I download the code and successfully compile it, I can run the test.py file, and pass almost every test but with a small mistake(according to the annotations, it's not a...
The channels number of the offsets is group*kernelsize*kernelsize*2, but what's the order of the channels? In other word, how the kernels of offsets flattened to 1D channel?
@xvjiarui HI, do have any good tutorial materials about Cuda programming?
I compiled the branch of pytorch1.0.0 sucesssully. But when I run python test.py, errors occured as follows: error in deformable_im2col_cuda: invalid device function error in deformable_col2im_coord_cuda: invalid device function error...
Has anyone used this and found it to run very slowly? I added two layers of DeformConv to the existing network, and the running time was doubled. Does anyone have...
The number of channels for offset and modulation usually has 27 channel output as kernal size is 3. But according to my understanding of paper, for each channel we a...
According to the paper and implementation the weights in the offset layer are initialised to 0 so the shift in x,y is 0 and modulation is 0.5. Doesnt it make...
I compile the project and run the test.py. I got the error ``` RuntimeError: Backward is not reentrant, i.e., running backward with same input and grad_output multiple times gives different...
