# justin62628/squirrel-rife **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/justin62628-squirrel-rife).** 3,471 stars · 181 forks · Python · gpl-3.0 ## Links - GitHub: https://github.com/Justin62628/Squirrel-RIFE - awesome-repositories: https://awesome-repositories.com/repository/justin62628-squirrel-rife.md ## Topics `animation` `interpolation` `rife` `slomo` `smooth` `video` `videoframeinterpolation` ## Description 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 frame detection and removal to eliminate stuttering in animated content, and a scene transition detector that identifies cuts with high accuracy to avoid generating interpolated frames across scene changes. It integrates FFmpeg as its video I/O layer for decoding source files and encoding output, and includes an arbitrary frame rate calculator that computes the exact number of intermediate frames needed for conversion between any input and output frame rates without rounding errors. Squirrel-RIFE processes video frames in parallel batches to maximize GPU utilization, and its capabilities extend to generating smooth slow-motion video from standard-speed footage. The tool is available as a Python application with documentation covering installation and usage. ## Tags ### User Interface & Experience - [RIFE Model Engines](https://awesome-repositories.com/f/user-interface-experience/animation-and-motion-systems/configuration-utility-helpers/animation-configuration/frame-execution-synchronization/animation-frame-rate-controls/frame-interpolation-engines/rife-model-engines.md) — Executes the RIFE neural network model to generate intermediate frames by analyzing motion between consecutive frames. - [Video Frame Interpolation Tools](https://awesome-repositories.com/f/user-interface-experience/animation-and-motion-systems/configuration-utility-helpers/animation-configuration/frame-execution-synchronization/animation-frame-rate-controls/video-frame-interpolation-tools.md) — Generates intermediate frames between existing video frames using a neural network to increase frame rate or create smooth slow-motion effects. - [Frame Interpolation Engines](https://awesome-repositories.com/f/user-interface-experience/animation-and-motion-systems/configuration-utility-helpers/animation-configuration/frame-execution-synchronization/animation-frame-rate-controls/frame-interpolation-engines.md) — Creates intermediate frames between existing ones using a frame interpolation algorithm to increase frame rate for smoother playback. ([source](https://cdn.jsdelivr.net/gh/justin62628/squirrel-rife@main/README.md)) - [Video Scene Transition Detectors](https://awesome-repositories.com/f/user-interface-experience/scene-transition-systems/video-scene-transition-detectors.md) — Identifies scene changes in video with high accuracy to avoid generating interpolated frames across cuts that would cause artifacts. ### Artificial Intelligence & ML - [Frame Interpolation Networks](https://awesome-repositories.com/f/artificial-intelligence-ml/cuda-accelerated-neural-networks/frame-interpolation-networks.md) — Uses a neural network on NVIDIA GPUs to predict and insert intermediate frames between existing video frames in parallel. - [GPU-Accelerated Inference](https://awesome-repositories.com/f/artificial-intelligence-ml/gpu-accelerated-inference.md) — Leverages NVIDIA GPU parallel processing to run the RIFE model at high speed for real-time frame generation. ### Graphics & Multimedia - [Batch Video Processing](https://awesome-repositories.com/f/graphics-multimedia/batch-video-processing.md) — Processes multiple video frames in parallel batches to maximize GPU utilization and throughput. - [Batch Frame Processing Pipelines](https://awesome-repositories.com/f/graphics-multimedia/batch-video-processing/batch-frame-processing-pipelines.md) — Processes multiple video frames simultaneously in batches to maximize GPU throughput and reduce per-frame overhead. - [Batch Frame Processors](https://awesome-repositories.com/f/graphics-multimedia/batch-video-processing/batch-frame-processors.md) — Processes multiple video frames in parallel batches to maximize GPU utilization and throughput. - [CUDA Batch Processing Pipelines](https://awesome-repositories.com/f/graphics-multimedia/batch-video-processing/cuda-batch-processing-pipelines.md) — Processes multiple video frames in parallel batches on NVIDIA GPUs to maximize throughput and reduce per-frame overhead. - [Slow Motion Video Generation](https://awesome-repositories.com/f/graphics-multimedia/slow-motion-video-generation.md) — Generates extra frames from standard-speed footage to produce smooth slow-motion effects without stuttering. ([source](https://cdn.jsdelivr.net/gh/justin62628/squirrel-rife@main/README.md)) - [CUDA-Accelerated Frame Processors](https://awesome-repositories.com/f/graphics-multimedia/video-frame-processing/cuda-accelerated-frame-processors.md) — Leverages NVIDIA CUDA for parallel GPU processing to run frame interpolation models at high speed. - [Video Transition Detection](https://awesome-repositories.com/f/graphics-multimedia/video-transition-detection.md) — Detects scene transitions with over 95% accuracy to prevent interpolation artifacts across cuts. ([source](https://cdn.jsdelivr.net/gh/justin62628/squirrel-rife@main/README.md)) ### System Administration & Monitoring - [Frame Rate Converters](https://awesome-repositories.com/f/system-administration-monitoring/frame-rate-controllers/frame-rate-converters.md) — Converts between arbitrary input and output frame rates by calculating the exact number of intermediate frames needed. - [Arbitrary Frame Rate Calculators](https://awesome-repositories.com/f/system-administration-monitoring/frame-rate-controllers/arbitrary-frame-rate-calculators.md) — Calculates exact intermediate frame counts for converting between arbitrary input and output frame rates. - [Arbitrary Frame Rate Converters](https://awesome-repositories.com/f/system-administration-monitoring/frame-rate-controllers/arbitrary-frame-rate-converters.md) — Calculates the exact number of intermediate frames needed to convert between any input and output frame rates. ### Data & Databases - [Video Frame Duplicate Detectors](https://awesome-repositories.com/f/data-databases/duplicate-detection-tools/probabilistic-duplicate-detection/video-frame-duplicate-detectors.md) — Compares consecutive frames pixel-by-pixel to identify and remove exact duplicates before interpolation. ### Development Tools & Productivity - [Animation Stutter Removers](https://awesome-repositories.com/f/development-tools-productivity/frame-by-frame-debuggers/automatic-frame-stutter-detectors/animation-stutter-removers.md) — Detects and removes duplicate frames in animated content to eliminate the clipped or jerky appearance. ([source](https://cdn.jsdelivr.net/gh/justin62628/squirrel-rife@main/README.md)) - [Video Frame Duplicate Detectors](https://awesome-repositories.com/f/development-tools-productivity/frame-by-frame-debuggers/video-frame-duplicate-detectors.md) — Compares consecutive frames pixel-by-pixel to identify and remove exact duplicates before interpolation. ### Software Engineering & Architecture - [Video Frame Duplicate Removers](https://awesome-repositories.com/f/software-engineering-architecture/in-place-array-manipulations/duplicate-removal/video-frame-duplicate-removers.md) — Compares consecutive frames pixel-by-pixel to identify and eliminate exact duplicates before interpolation.