TF-deformable-conv
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Implementation of deformable convolution as an operation in tensorflow
Hi, Thanks for your work! I am wondering if you can implement the 3d version as well. It would be very helpful!
when i build my own model,in this step:    i meet the errror:  look forward to hearing from you. @Zardinality
Compilation with gcc6+ failed. Could you please help?
The calculation of padding size seems to be conflicted in the kernel registration and execution. In [kernel registration](https://github.com/Zardinality/TF-deformable-conv/blob/8e3c7136aa08d99a86de2d78e99654bcfefcd896/lib/deform_conv.cc#L153), the padding size is calculated based on the effective kernel size (taking...
Hi I tried to reimplement the similar operation as yours in Tensorflow and found two facts w.r.t the runtime speed performance: 1. The gpu kernel which adds the filter gradients...
when I dio the sh ./lib/nvcc_compile.sh operations, I meet the folllowing errors, do you have any idea about how to solve it? /home/tensor-server/.pyenv/versions/anaconda2-5.0.1/envs/df/lib/python2.7/site-packages/tensorflow/include nvcc warning : The 'compute_20', 'sm_20', and...
hi,both variables dx and dy range from -2 to 2,can u offer some suggestion why these two variable should change from -2 to 2?
**Thanks for your amazing work. Have you ever tried to visualize the deformable convolution just like the results in the paper 'Deformable Convolutional Networks'? like this:**  **I made a...
I met a problem that when i set padding="VALID", the loss function did not converge. However, it converged when i set padding="SAME"...other config is same. And i also dumped the...
Hello, the original implementation has supported the cudnn 6.0 and cuda 8.0. Could you upgrade your lib to support the cudnn 6.0 and cuda 8.0. Because I am running in...