#FFmpeg

Logo of VideoProcessingFramework
VideoProcessingFramework
As the Video Processing Framework (VPF) transitions to PyNvVideoCodec, it continues to offer robust video processing capabilities with full HW acceleration, supporting decoding, encoding, transcoding, and GPU-accelerated conversions. The framework simplifies the transfer of decoded video frames to PyTorch tensors with minimal overhead. Ideal for developers working on Linux or Windows environments, it requires an NVIDIA display driver 525.xx.xx or above, CUDA Toolkit 11.2 or higher, and FFMPEG. Seamlessly install the framework with a single command, explore Docker-based installations, and benefit from active community support for a comprehensive video technology experience. Advanced users can compile components and integrate dependencies for enhanced performance in GPU environments. Discover the unique advantages over alternative solutions for better clarity and efficiency.