# ferreirafabio/video2tfrecord

<https://repo.masters-masters.com/en/repos/ferreirafabio/video2tfrecord>

[Home](https://repo.masters-masters.com/en) › [ferreirafabio](https://repo.masters-masters.com/en/owners/ferreirafabio) › [video2tfrecord](https://repo.masters-masters.com/en/repos/ferreirafabio/video2tfrecord)

ferreirafabio/video2tfrecord has 154 stars on GitHub. Its RepoMasters card: Prototype tier. Easily convert RGB video data (e.g. .avi) to the TensorFlow…

| Field | Value |
| --- | --- |
| Owner | [ferreirafabio](https://repo.masters-masters.com/en/owners/ferreirafabio) |
| Stars | 154 |
| Forks | 37 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | video-understanding, deep-learning, preprocessor, tensorflow, tensorflow-tfrecords, opencv, neural-network, optical-flow |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ferreirafabio/video2tfrecord](https://github.com/ferreirafabio/video2tfrecord) |

## Repository

Easily convert RGB video data (e.g. .avi) to the TensorFlow tfrecords file format for training e.g. a NN in TensorFlow. This implementation allows to limit the number of frames per video to be stored in the tfrecords.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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