Comments (7)
I think it is OK. Just compile a MXNet w/ cuda 7.5.
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@orpine Finally I installed the environment successfully(Cuda7.5, Cudnn5.1.3, Python2.7.13 by anaconda). But I found another problem that when I run python ./rfcn/demo.py
, I had the following error:
Segmentation fault (core dumped)
Could you have me?
from deformable-convnets.
@orpine how can i do step 3 from Installation:
Copy operators in ./rfcn/operator_cxx to $(YOUR_MXNET_FOLDER)/src/operator/contrib and recompile MXNet.
if I use mxnet in virtualenv?
from deformable-convnets.
@orpine I solved the problem by #3 (comment)
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@zhFuECL How did you solve the problem? Could you give a detail?
from deformable-convnets.
@baiyancheng20 I gave the solution in the last comment.
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@zhFuECL could you give a detail since there are many suggestions in #3 (comment)
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Related Issues (20)
- Question about num_deformable_group HOT 3
- Can I only use CUDA8.0?
- Has anyone successfully trained Faster-RCNN with Modulated Deformable Conv?
- Deeplab Training Detail
- compile DCN v2 fatal error: ../linalg.h: No such file or directory HOT 4
- error when run deeplab(cityscapes) ValueError: zero-size array to reduction operation minimum which has no identity`
- The channels' order of offsets layer
- DCN for 3D
- visualize the deformable convolution of rcnn_dcn
- Does anyone sovle the problem of over large offset? HOT 1
- occasions where sampling locations are outside of the image boundary
- Some questions of the testting process in classification tasks
- Why is the magnitude of mask multiplied by 2? HOT 1
- How to get the receptive field? HOT 4
- How to get the sampling points? HOT 4
- convert to onnx
- Is it useful to use dcn on 1x1conv? HOT 1
- src/cpu/dcn_v2_cpu.cpp:227:55: 错误:‘THFloatBlas_gemv’在此作用域中尚未声明
- PyTorch version of deformable convolution does not exist HOT 1
- About the range of offset HOT 1
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