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donkey-vis

Donkeycar neural network model visualization built on top of https://github.com/raghakot/keras-vis

example

Requirements

  1. OpenCV
  2. Conda
  3. Trained neural network
  4. Donkeycar records tub

Usage

  1. Install opencv (OS Specific)
  2. Install conda environment conda env create -f environment.yml
  3. Activate conda env conda activate donkey-vis
  4. For now: pip install git+https://github.com/raghakot/keras-vis.git --upgrade (as long as some bug has been fixed)
  5. Check that the installed tensorflow version matches with the version model was trained on conda list | grep tensorflow (Defaults to 1.11.0)
  6. If it doesn't match, update tensorflow version conda install tensorflow-gpu==1.11.0
  7. Run visualization with python visualize --model ./model --tub ./records (python visualize -h for more parameters)
  8. Kill with ctrl-c when enough frames exported

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Donkeycar neural network model visualization

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