{"repo":"tomas-gajarsky/facetorch","free":true,"listed":false,"github":"https://github.com/tomas-gajarsky/facetorch","clone":"git clone https://github.com/tomas-gajarsky/facetorch.git","description":"Python library for analysing faces using PyTorch","language":"Python","stars":610,"topics":["conda-forge","deep-learning","deepfake-detection","docker-compose","face-detection","facial-detection","facial-expression-recognition","machine-learning","neural-networks","pypi-package"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"facetorch User Guide, Documentation, ChatGPT facetorch guide Docker Hub (GPU) Facetorch is a Python library designed for facial detection and analysis, leveraging the power of deep neural networks. Its primary aim is to curate open-source face analysis models from the community, optimize them for high performance using TorchScript, and integrate them into a versatile face analysis toolkit. The library offers the following key features: 1. Customizable Configuration: Easily configure your setup using Hydra and its powerful OmegaConf capabilities. 2. Reproducible Environments: Ensure reproducibility with tools like conda-lock for dependency management and Docker for containerization. 3. Accelerated Performance: Enjoy enhanced performance on both CPU and GPU with TorchScript optimization. 4. Simple Extensibility: Extend the library by uploading your model file to Hugging Face Hub (previously Google Drive) and adding a corresponding configuration YAML file to the repository. Facetorch provides an efficient, scalable, and user-friendly solution for facial analysis tasks, catering to developers and researchers looking for flexibility and performance. Please use this library responsibly and with caution. Adhere to the European Commission's Ethics Guidelines for Trustworthy AI to ensure ethical and fair usage. Keep in mind that the models may have limitations and potential biases, so it is crucial to evaluate their outputs critically and consider their impact. Install PyPI Conda Usag","default_branch":null,"files":null,"tree":[],"storefront":"/r/tomas-gajarsky","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/tomas-gajarsky/facetorch/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}