https://github.com/matin-ghorbani/video-classification-transformers
Implement a video classification using transformers
https://github.com/matin-ghorbani/video-classification-transformers
deep-learning tensorflow transformers video-classification
Last synced: 4 months ago
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Implement a video classification using transformers
- Host: GitHub
- URL: https://github.com/matin-ghorbani/video-classification-transformers
- Owner: matin-ghorbani
- License: mit
- Created: 2024-05-20T12:07:33.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-21T13:02:07.000Z (about 1 year ago)
- Last Synced: 2024-11-29T17:25:51.623Z (6 months ago)
- Topics: deep-learning, tensorflow, transformers, video-classification
- Language: Jupyter Notebook
- Homepage:
- Size: 7.81 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Video-Classification-Transformers
### Video Classification Using Transforms**This project focuses on video classification using various transformation techniques. The classification model is built using TensorFlow, and the dataset used is the UCF101 Top-5.**
### Dataset
The dataset used for this project is the [UCF101 Top-5](https://github.com/sayakpaul/Action-Recognition-in-TensorFlow/releases/download/v1.0.0/ucf101_top5.tar.gz). It contains video data for the top 5 action classes from the UCF101 dataset, a widely-used dataset for action recognition in videos.## Installation
To get started, clone this repository and install the necessary dependencies.
```bash
git clone https://github.com/matin-ghorbani/Video-Classification-Transformers.git
cd Video-Classification-Transformers/
pip install -r requirements.txt
```