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Use docker to enable quick prototyping on SLAM and ML problems.

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Cenbylin/ML-SLAM-env

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How to build a pure environment for SLAM and ML/DL/RL.

1. install and launch Docker, obviously.

2. clone this repo and execute the script build.sh.

git clone --recursive https://github.com/Cenbylin/ML-SLAM-env.git
cd ML-SLAM-env/
chmod +x build.sh
./build.sh

3. launch the environment in a Docker container.

docker run -it --rm -p 5901:5900 -p 18888:8888 ml-slam-env

4. use jupyter lab on your browser

access URL http://127.0.0.1:18888

5. use vnc client to view the virtual screen (enable GUI application)

vnc server:127.0.0.1:5901

password:1234

Example and Data

quick_start.ipynb is existing in /root/example


jupyter_lab_run


jupyter_lab_run


Data

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Remote Development

Tested on CLion.

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Use docker to enable quick prototyping on SLAM and ML problems.

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