First-Order-Motion-TensorFlow | repository contains an implementation of the models

by Cold-Winter Python Version: Current License: No License

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kandi X-RAY | First-Order-Motion-TensorFlow Summary

First-Order-Motion-TensorFlow is a Python library. First-Order-Motion-TensorFlow has no bugs, it has no vulnerabilities and it has low support. However First-Order-Motion-TensorFlow build file is not available. You can download it from GitHub.

This repository contains an implementation of the models from the paper First Order Motion Model for Image Animation using TensorFlow 2.0. The original code uses PyTorch and you can find it here. This code still needs some fixes. You can check my post called Image Animation using a First Order Motion Model In TensorFlow, where I do my best explaining how this project works and all the things you need to know to fully understand the magic behind these models. Methods like Taylor Expansion, Optical Flow, and Bilinear Interpolation are explained in my post. like Taylor Expansion, Optical Flow, Bilinear Interpolation, etc. This repository also contains a Jupyter notebook where you can check the code divided by sections.

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First-Order-Motion-TensorFlow has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

First-Order-Motion-TensorFlow has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of First-Order-Motion-TensorFlow is current.

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First-Order-Motion-TensorFlow has no bugs reported.

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First-Order-Motion-TensorFlow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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First-Order-Motion-TensorFlow releases are not available. You will need to build from source code and install.

First-Order-Motion-TensorFlow has no build file. You will be need to create the build yourself to build the component from source.

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Install First-Order-Motion-TensorFlow

You can download it from GitHub.
You can use First-Order-Motion-TensorFlow like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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