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| |\n|:-------------------------:|:------------------------:|\n| \u003cimg src=\"media/cube.gif\" height=\"250\"/\u003e | \u003cimg src=\"media/camera_estimate.gif\" height=\"250\"/\u003e |\n\n# 3D Transforms [![Twitter URL](https://img.shields.io/twitter/url?style=social\u0026url=https%3A%2F%2Fgithub.com%2FRishit-dagli%2F3d-transforms)](https://twitter.com/intent/tweet?text=Wow:\u0026url=https%3A%2F%2Fgithub.com%2FRishit-dagli%2F3d-transforms)\n\n[![PyPI](https://img.shields.io/pypi/v/tensorflow3dtransforms)](https://pypi.org/project/tensorflow3dtransforms/)\n[![Upload Python Package](https://github.com/Rishit-dagli/3d-transforms/actions/workflows/python-publish.yml/badge.svg)](https://github.com/Rishit-dagli/3d-transforms/actions/workflows/python-publish.yml)\n[![Build Docs](https://github.com/Rishit-dagli/3d-transforms/actions/workflows/sphinx-ci.yml/badge.svg)](https://github.com/Rishit-dagli/3d-transforms/actions/workflows/sphinx-ci.yml)\n\n[![GitHub license](https://img.shields.io/github/license/Rishit-dagli/3d-transforms)](LICENSE)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n[![GitHub stars](https://img.shields.io/github/stars/Rishit-dagli/3d-transforms?style=social)](https://github.com/Rishit-dagli/3d-transforms/stargazers)\n[![GitHub followers](https://img.shields.io/github/followers/Rishit-dagli?label=Follow\u0026style=social)](https://github.com/Rishit-dagli)\n[![Twitter Follow](https://img.shields.io/twitter/follow/rishit_dagli?style=social)](https://twitter.com/intent/follow?screen_name=rishit_dagli)\n\nTensorFlow3D Transforms is a library to easily make 3D transformations and work with 3D data. This library originally started as a few functions here and there for my own work which I then turned into a library.\n\nTensorFlow3D Transforms is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data. For this reason, all operators in TensorFlow3D Transforms:\n\n- Are implemented using TensorFlow tensors\n- Can handle minibatches of hetereogenous data\n- Can be differentiated\n- Can utilize GPUs for acceleration\n\nThis project also draws much inspiration from [PyTorch3D](https://github.com/facebookresearch/pytorch3d).\n\n## Installation\n\nTo install the latest release of TensorFlow3d Transforms, run:\n\n```bash\npip install tensorflow3dtransforms\n```\n\n## 📄Documentation\n\n[Visit the documentation](https://rishit-dagli.github.io/3d-transforms/) of this project to get more information in detail.\n\n## 📚Examples\n\n[Visit the Quickstart](https://rishit-dagli.github.io/3d-transforms/quick_start) for this project to see some examples and use this library easily.\n\n## 🙋‍♂️Want to Contribute?\n\nAwesome! If you want to contribute to this project, you're always welcome! See [Contributing Guidelines](CONTRIBUTING.md). You can also take a look at [TensorFlow3d Transforms's Project Status Tracker](https://github.com/users/Rishit-dagli/projects/10) for getting more information about current or upcoming tasks.\n\n## Acknowledgements\n\nMost of the experiments and reimplementations with this library were done on Civo Cloud Kubernetes Clusters using the [Civo Developer Demo program](https://www.civo.com/demo-program)\n\n## License\n\n```\nCopyright 2023 Rishit Dagli\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n    http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frishit-dagli%2F3d-transforms","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frishit-dagli%2F3d-transforms","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frishit-dagli%2F3d-transforms/lists"}