Video Stabilization Python Packages

vidgear

A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:

stabilo

⚖️ Python library for stabilizing video frames or object trajectories relative to a chosen reference frame, using classical or deep-learning feature matching with robust homography/affine estimation, optional CUDA acceleration, and user-defined exclusion masks, built for dynamic scenes with moving objects.

vidstab

A Python package to stabilize videos using OpenCV

ffswak

A Python command-line wrapper for FFmpeg video editing, transitions, stabilization, and HEVC encoding

gimbal-engine

GPU-accelerated video stabilization with a deep-learning homography model and a custom fused CUDA autograd kernel

stabilo-optimize

🎯 Stabilo-Optimize is a Python benchmarking tool for tuning and evaluating video and track stabilization methods and parameters in the stabilo library.

vidgear-noperm

A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire: