Pavankunchala/Work-Showcase
Deep Learning and Computer Vision Applications using Streamlit
Demonstrates specialized CV pipelines including pose estimation with MediaPipe, 3D NeRF rendering (NVIDIA Instant-NGP), face manipulation (swapping, inpainting, averaging), depth estimation, and hand gesture recognition—each wrapped in interactive Streamlit web interfaces. Leverages pre-trained models and libraries like OpenVINO, alongside custom dataset creation for NeRF training and style transfer applications. Portfolio spans real-time video processing, 3D avatar generation, and VR gesture control integration.
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78
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Language
Python
License
MIT
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Last pushed
Aug 12, 2022
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