nvenc-docker is a repository that provides a Docker image for video encoding utilizing NVIDIA's NVENC (NVIDIA Video Encoder) capabilities. It enables hardware-accelerated video encoding using NVIDIA GPUs, resulting in faster video processing.

• Automatic setup of Docker environment with NVIDIA GPU support.
• Integration with GitHub Actions for easy CI/CD workflows.
• Efficient video encoding using NVENC for faster processing.
• Flexibility to customize the encoding parameters and workflow as needed.
• Seamless integration with other GitHub Actions and workflows.

To use this repository, you need to have the following:

• A machine with an NVIDIA GPU that supports NVENC.
• Docker installed on the machine.
• A GitHub repository with GitHub Actions enabled.
• NVIDIA Docker runtime installed (for GPU support).

To utilize nvenc-docker, follow these steps:

1. Pull the nvenc-docker image from Docker Hub:

docker pull hiwaymedia/nvenc-docker:latest

2. Run the Docker container with your desired encoding parameters. For example:

docker run --gpus all \
  --volume /path/to/input:/data/input \
  --volume /path/to/output:/data/output \
  hiwaymedia/nvenc-docker:latest \
  ffmpeg -i /data/input/video.mp4 -c:v h264_nvenc -preset fast /data/output/output.mp4

Customize the input and output paths and the encoding command as per your requirements. This example uses ffmpeg with the h264_nvenc codec to encode a video file.

3. Monitor the encoding process and retrieve the encoded video from the output directory.

For more detailed usage examples and additional information, please refer to the documentation.

Contributions to nvenc-docker are welcome! If you have any suggestions, improvements, or bug fixes, feel free to open an issue or submit a pull request.

This project is licensed under the MIT License.