Comments (1)
I have not prepared any containers, but you are free to build one yourself. By viewing the requirements.txt files, the conda environment yaml file, and the package imports in the notebooks and scripts, you can determine the required packages and build an environment with your tool of choice. It will take some problem solving and due to the lack of support, you should seek to install packages with 'sudo apt-get install python3-' whenever possible. There may be some packages where this is the only option to install. I do not recall what packages I installed with this method, and I no longer own a Jetson so I cannot help you further. Good luck.
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Related Issues (12)
- Inferencing on jetson HOT 1
- Multi-GPU scenario HOT 3
- Getting an error while building environment HOT 2
- Error while training HOT 1
- Stops training with this error HOT 2
- run_inference() not working properly HOT 3
- Is it possible to use Adversarial Training? HOT 1
- Portuguese data corpus; HOT 1
- jetson_requirement.txt too many missing packages HOT 1
- What are those hardware components? HOT 1
- Hardware setup used. HOT 1
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