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Current hand pose estimation methods are often unreliable and do not always produce estimations with enough quality. To mitigate this issue, we explore the applicability of the novel Body2Hands method for the obtainment of high-quality hand pose estimations.

License: MIT License

Python 99.58% Shell 0.42%
computer-vision deep-learning nlp sign-language

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