Computer-Vision-Docker-Workspace

Docker compose with custom DockerFile for Data Science and Computer Vision purposes with Jupyter notebook.

Next steps for AWS GPU Instances and Local GPU

• OpenCV + Tensorflow (done) - tag: 0.1
• Gym - tag: gym_testing --> gym_stable
• Plotly - tag: 0.2
• NVIDIA Container Toolkit - tag: nvidia_toolkit
• CUDA - tag: nvidia_toolkit
• Detectron2 - tag: detectron2
• YoloV5 - tag: yolo5

List of libreries

• cython
• numpy
• pandas
• matplotlib
• lxml
• tensorflow
• opencv-contrib-python
• scikit-learn

Documentation

Topic	Documentation
Docker	https://docs.docker.com/get-docker/
Numpy	https://numpy.org/
Pandas	https://pandas.pydata.org/
Matplotlib	https://matplotlib.org/
Tensorflow	https://www.tensorflow.org/
Scikit-learn	https://scikit-learn.org/

Usage

https://localhost:8080/tree

Start

docker-compose up -d

Stop

docker-compose down

or

docker container stop [name_container]

Credentials

How envs variable is define inside the docker-compose.yml

environment:
    - JUPYTER_TOKEN=easy
    - PASSWORD=password

Password

PASSWORD=password

ACCESS_TOKEN

JUPYTER_TOKEN=easy

Volumes

volumes:
   - jupyter-work:/home/jovyan/work
   - jupyter-datasets:/home/jovyan/work/datasets
   - jupyter-modules:/home/jovyan/work/modules
   - jupyter-notebook:/etc/ssl/notebook