Gyroflow is a gyroscope video stabilization software and IMU telemetry processor designed to remove camera shake from video files. It functions as a hardware-accelerated video renderer and lens calibration tool, utilizing embedded or external gyroscope and accelerometer data to perform pixel-level stabilization.
Die Hauptfunktionen von gyroflow/gyroflow sind: Gyroscope Video Stabilization, IMU-Based Video Stabilization, Sensor Fusion, Telemetry Synchronization, Camera Calibration, Rolling Shutter Estimation, Sensor Fusion Tracking, Data Parsing.
Open-Source-Alternativen zu gyroflow/gyroflow sind unter anderem: pjlab-adg/sensorscalibration — SensorsCalibration is a toolkit for computing the intrinsic and extrinsic parameters of cameras and LiDAR sensors in… hybridgroup/gocv — GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and… realsenseai/librealsense — The Intel RealSense SDK is a software development kit providing drivers and libraries for interfacing with depth… ethz-asl/kalibr — Kalibr is a software suite for multi-camera calibration and visual-inertial parameter estimation. It provides a… clsid2/mpc-hc — This project is an open-source multimedia player for Windows designed for high-performance audio and video playback.… atduskgreg/opencv-processing — This project is a Java-based toolkit that integrates the OpenCV computer vision library into the Processing creative…
SensorsCalibration is a toolkit for computing the intrinsic and extrinsic parameters of cameras and LiDAR sensors in automotive environments. It provides tools for calculating internal camera focal properties, aligning LiDAR point clouds to 2D camera images, and determining the spatial transformations between multiple sensors and the vehicle coordinate system. The project includes a targetless calibration framework that aligns sensors to a vehicle by analyzing natural features in road environments without the need for specialized physical markers. It also supports factory calibration processe
GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis. The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO. The library covers a br
Kalibr is a software suite for multi-camera calibration and visual-inertial parameter estimation. It provides a mathematical framework for determining intrinsic and extrinsic parameters across multiple cameras and calculating the spatio-temporal offsets between cameras and inertial measurement units. The project features a non-linear least-squares optimizer to minimize reprojection and inertial errors. It includes specialized tools for rolling-shutter camera calibration to estimate projection and distortion parameters for sensors that capture images row-by-row. The system covers a broad rang
The Intel RealSense SDK is a software development kit providing drivers and libraries for interfacing with depth cameras to capture color, depth, and infrared data streams. It includes a depth camera driver for device discovery and sensor configuration, a stereo vision library for computing depth maps and aligning frames, and a 3D point cloud generator to transform depth and infrared frames into spatial representations. The SDK distinguishes itself through on-chip depth calculation and stereo calibration, using internal vision processors to reduce host CPU load. It supports hardware-level str