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Awesome GitHub RepositoriesCUDA Batch Processing Pipelines
Processes multiple video frames in parallel batches on NVIDIA GPUs to maximize throughput and reduce per-frame overhead.
Distinct from Batch Video Processing: Distinct from Batch Video Processing: specifies CUDA-accelerated batch processing for frames, not general multi-file operations.
Explore 1 awesome GitHub repository matching graphics & multimedia · CUDA Batch Processing Pipelines. Refine with filters or upvote what's useful.
Awesome CUDA Batch Processing Pipelines GitHub Repositories
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- justin62628/squirrel-rife
Justin62628/Squirrel-RIFE
3,471在 GitHub 上查看Squirrel-RIFE is a GPU-accelerated video processing tool that uses a neural network to generate intermediate frames between existing video frames, enabling smooth slow-motion effects and frame rate conversion. It is built around the RIFE (Real-Time Intermediate Flow Estimation) model, which analyzes motion between consecutive frames to predict and insert new frames, and leverages NVIDIA CUDA for parallel processing to achieve high-speed inference. The tool distinguishes itself by combining neural frame interpolation with practical video preprocessing features, including pixel-level duplicate
Processes multiple video frames in parallel batches on NVIDIA GPUs to maximize throughput and reduce per-frame overhead.
Pythonanimationinterpolationrife
