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enhancr is an elegant and easy to use GUI for Video Frame Interpolation and Video Upscaling which takes advantage of artificial intelligence - built using node.js and Electron. It was created to enhance the user experience for anyone interested in enhancing video footage using artificial intelligence. The GUI was designed to provide a stunning experience powered by state-of-the-art technologies without feeling clunky and outdated like other alternatives. It features blazing-fast TensorRT inference by NVIDIA, which can speed up AI processes significantly. Pre-packaged, without the need to install Docker or WSL (Windows Subsystem for Linux) - and NCNN inference by Tencent which is lightweight and runs on NVIDIA, AMD and even Apple Silicon - in contrast to the mammoth of an inference PyTorch is, which only runs on NVIDIA GPUs.
Features
- Encodes video on the fly and reads frames from source video, without the need of extracting frames or loading into memory
- Queue for batch processing
- Live Preview integrated in the UI, without impact on performance
- Allows chaining of interpolation, upscaling & restoration
- Offers the possibility to trim videos before processing
- Can load custom ESRGAN models in onnx & pth format and converts them automatically
- Has Scene Detection built-in, to skip interpolation on scene change frames & mitigate artifacts
Project Samples
