Comments (3)
@zhanghanduo from memory I started with the base nvidia GPU docker container. Password for sudo will be: nvidia
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Thanks for your contribution!
I have added your Docker TensorRT environment for FastFlowNet to the README.md file of this repository. Thanks!
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I tried this docker but got an error with this line: import onnx_graphsurgeon as gs
.
When I tried to install onnx-graphsurgeon, it told me
"ERROR: Could not find a version that satisfies the requirement onnx-graphsurgeon (from versions: 0.0.1.dev4, 0.0.1.dev5)
ERROR: No matching distribution found for onnx-graphsurgeon"
and
" The package you are trying to install is only a placeholder project on PyPI.org repository.
This package is hosted on NVIDIA Python Package Index.
This package can be installed as:
$ pip install nvidia-pyindex
$ pip install onnx-graphsurgeon
"
Also I need password to install pip packages. It told me " permission denied".
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Related Issues (20)
- 没办法编译corrlation模块 HOT 2
- Export to TensorRT HOT 2
- magic factors when upsample flow HOT 1
- spatial-correlation-sampler HOT 5
- Evaluation code HOT 1
- didn't process the occlusion loss? HOT 1
- div_flow parameter HOT 1
- problems of optical flow results when finetuning on real scene? HOT 5
- run demo.py error HOT 1
- Low KITTI 2015 flow accuracy by using pertained weights HOT 1
- 使用pre-trained(things3d)模型,在MpiSintelClean_Training数据集上epe只有4.3,达不到论文中的水平 HOT 3
- Why does CDDC output 53 channels? HOT 2
- I meet some questions No module named 'correlation_cuda' HOT 1
- Run: python setup.py build -- error: command 'gcc' failed with exit status 1 HOT 3
- TypeError: forward() missing 1 required positional argument: 'input2' HOT 1
- Results are inconsistent with expectations HOT 3
- Deployment on TX2 HOT 5
- Using FastFlowNet with Cuda 10 ? HOT 4
- RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation HOT 2
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