# dthpham/sminterpolate

Make motion interpolated and fluid slow motion videos from the command line.

Repository: https://github.com/dthpham/sminterpolate
Canonical: https://ross.abutalabs.com/products/sminterpolate
Language: Python
License: MIT
License Family: permissive
Topics: motion-interpolation, slow-motion
Archived: true
Last push: 2020-06-18T12:46:03+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4366, "days_push": 2267, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1385, forks 92 (observed 2026-08-28T04:04:34.810096+00:00)

## What it is
A command-line tool that creates motion interpolated videos by rendering intermediate frames using pixel-warping and blending, and produces fluid slow motion videos. It leverages OpenCL hardware acceleration for faster rendering.

## Use cases
- increase a video's frame rate with motion interpolation
- make smooth slow motion videos without stutter
- generate intermediate frames between existing video frames
- avoid frame-duping stutter when slowing down footage
- create high frame rate soap opera effect videos

## When to choose
- you want true motion interpolation rather than simple frame blending or duplication
- you need fluid slow motion from low frame rate source footage
- you prefer a simple command-line workflow with optional OpenCL acceleration

## When to avoid
- you need a maintained tool with recent updates and active development
- you lack a 64-bit system or compatible OpenCL device and need fast rendering
- you need a GUI-based video editing workflow

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: video-processing, cli
- domain: media
- platform: windows, cli, python
- tags: motion-interpolation, slow-motion, opencl, ffmpeg, frame-interpolation, video, macos, linux

## Member repositories
- dthpham/sminterpolate (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:34.810096+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:39:56.955542+00:00, confidence not recorded.
  - readme: https://github.com/dthpham/sminterpolate (fetched 2026-08-28T04:04:34.810096+00:00, sha a88f91f1fcec)
- Data as of 2026-08-30T08:39:29.467469+00:00.