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https://github.com/rishit-dagli/3d-transforms

3D Transforms is a library to easily work with 3D data and make 3D transformations. This library originally started as a few functions here and there for my own work which I then turned into a library.
https://github.com/rishit-dagli/3d-transforms

3d 3d-graphics 3d-models 3d-reconstruction collaborate computer-vision deep-learning github github-campus-experts github-codespaces github-pages machine-learning tensorflow

Last synced: 3 months ago
JSON representation

Host: GitHub
URL: https://github.com/rishit-dagli/3d-transforms
Owner: Rishit-dagli
License: apache-2.0
Created: 2023-01-07T21:11:23.000Z (about 2 years ago)
Default Branch: main
Last Pushed: 2023-02-25T18:04:08.000Z (almost 2 years ago)
Last Synced: 2024-11-02T04:23:53.294Z (3 months ago)
Topics: 3d, 3d-graphics, 3d-models, 3d-reconstruction, collaborate, computer-vision, deep-learning, github, github-campus-experts, github-codespaces, github-pages, machine-learning, tensorflow
Language: Python
Homepage: https://rishit-dagli.github.io/3d-transforms/
Size: 6.38 MB
Stars: 24
Watchers: 5
Forks: 3
Open Issues: 2
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS

Awesome Lists containing this project

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# 3D Transforms [![Twitter URL](https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Fgithub.com%2FRishit-dagli%2F3d-transforms)](https://twitter.com/intent/tweet?text=Wow:&url=https%3A%2F%2Fgithub.com%2FRishit-dagli%2F3d-transforms)

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TensorFlow3D 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.

TensorFlow3D Transforms is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data. For this reason, all operators in TensorFlow3D Transforms:

- Are implemented using TensorFlow tensors

- Can handle minibatches of hetereogenous data

- Can be differentiated

- Can utilize GPUs for acceleration

This project also draws much inspiration from [PyTorch3D](https://github.com/facebookresearch/pytorch3d).

## Installation

To install the latest release of TensorFlow3d Transforms, run:

```bash

pip install tensorflow3dtransforms

```

## 📄Documentation

[Visit the documentation](https://rishit-dagli.github.io/3d-transforms/) of this project to get more information in detail.

## 📚Examples

[Visit the Quickstart](https://rishit-dagli.github.io/3d-transforms/quick_start) for this project to see some examples and use this library easily.

## 🙋‍♂️Want to Contribute?

Awesome! 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.

## Acknowledgements

Most 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)

## License

```

Copyright 2023 Rishit Dagli

Licensed under the Apache License, Version 2.0 (the "License");

you may not use this file except in compliance with the License.

You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software

distributed under the License is distributed on an "AS IS" BASIS,

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

See the License for the specific language governing permissions and

limitations under the License.

```