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2D Hand Pose Estimation from RGB Image

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1. Description

Repository includes working PyTorch pipeline to train a model and make inferences.

Here are my tutorials that explain it in details:

For this project, open-source FreiHAND dataset is used.

2. Repository Content

Repository has the following files:

  • notebooks/Train Notebook.ipynb (notebook to train a model)
  • notebooks/Inference Notebook.ipynb (notebook for inferences)
  • utils/model.py (model class)
  • utils/dataset.py (dataset class to load FreiHAND dataset)
  • utils/trainer.py (class to train model)
  • utils/prep_utils.py (supplementary functions)
  • weights/model_final (trained model weights)
  • requirements.txt (required packages & versions)

3. License

This project is licensed under the terms of the MIT license.

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Custom pipeline for 2D Hand Pose Estimation from RGB Image

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  • Jupyter Notebook 98.9%
  • Python 1.1%