Empty_-_Detection_ML

Using Unsupervised Learning method (K-means Clustering) and Distance Transform

Steps to create a Virtual Environment

• Python Virtual Environment
  • This is already available in the clusters node.
  • Do the following steps to create a virtual env.
    • python3 -m vevn <name>
    • source <name>/bin/activate
  • Now you are ready to install all your required libraries and it will be only in this environment.

Steps to install the requirements

pip install -r requirements.txt

Next steps

• Go into the src folder
• Download the ipynb
• Set the python environment to the virtual environment which has been created

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Enjoy learning !!!

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References

[1] https://www.youtube.com/watch?v=oxWfLTQoC5A

[2] https://docs.opencv.org/3.4/d1/d5c/tutorial_py_kmeans_opencv.html

[3] https://docs.opencv.org/3.4/d2/dbd/tutorial_distance_transform.html