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I'm glad this helped! I had a few struggles myself with file permissions inside/outside the docker container. Just in case: I have updated the README.md with the new docker images...

I think that you can run it without the nvidia runtime, it should behave as the cpu version. Regarding the GTX1050Ti issue, maybe you need to start from a clean...

This reminds me of something. I encountered this issue in the early versions of otbtf. I did not really find the cause, but I did find a workaround at this...

I just give a try inside the otbtf2.0 and I can't reproduce your issue. ``` root@61276408e13f:/home/otbuser# python -c "import otbApplication; import tensorflow" 2020-07-17 09:58:05.757528: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library...

Damn, I can reproduce this bug. Indeed, in projects where I use both, I don't import tf and otb in the same `.py` file. I think that otbtf1.X is also...

According to this [tensorflow issue](https://github.com/tensorflow/tensorflow/issues/28164), building TF using `--config=monolithic` could fix. Here are the steps I did to manage to find a fix: ``` pip install 'setuptools>=41.0.0' pip install 'numpyAdd(encoded_file_descriptor,...

Hi @lifeiteng , unfortunately not yet

Many thanks! I am not sure to fully understand your fix though... I don't see what you do with the `PYTHON_LIB_PATH`, could you please detail a bit?

Yes, it is something like that. I guess that the c++ tensorflow classes used in otb applications "triggers" something that is done twice if we also `import tensoflow` in python....

For now, we can't import both, but that's a bit sad. It is like you couldn't import `otbApplication` and `gdal` in the same python code :sob: