Opencv
Showing 36 of 64 projects
Open Source Computer Vision Library providing real-time image processing and AI capabilities.
An open-source library with over 2500 optimized algorithms for real-time computer vision and machine learning.
Real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
A high-performance CNN-based face detection library written in pure C++ with SIMD optimizations, achieving up to 1000 FPS.
An open-source Automatic License Plate Recognition library written in C++ with bindings for multiple programming languages.
A Go library for cross-platform desktop automation, enabling mouse/keyboard control, screen reading, and window management.
Java interface to OpenCV, FFmpeg, and other computer vision libraries with utility classes for easier Java/Android integration.
Go language bindings for OpenCV 4, enabling computer vision applications with support for CUDA, DNN, and OpenVINO.
An open-source RPA tool that automates repetitive tasks on websites, desktop apps, and the command line using a simple language.
A cross-platform .NET wrapper for OpenCV, providing image processing and computer vision functionality for .NET applications.
A cross-platform .NET wrapper for OpenCV, providing image processing and computer vision functionality for .NET applications.
Pre-built CPU-only OpenCV packages for Python, providing easy installation via pip without manual compilation.
Open-source head tracking software that translates real-world head movements into game inputs for flight simulators and military games.
A collection of convenience functions to simplify common image processing tasks with OpenCV and Python.
OpenCV bindings for Node.js enabling real-time computer vision applications in JavaScript.
A high-performance, cross-platform Python framework for building complex real-time video processing applications with multi-threaded and asyncio APIs.
A C++ library with ROS interface for managing multi-layered 2D grid maps in mobile robotics.
A .NET port of the ZXing library for decoding and generating barcodes like QR codes, Data Matrix, and EAN.
A ROS package for real-time object detection in camera images using YOLO (V3) on GPU and CPU.
A ROS package for real-time object detection in camera images using YOLO (V3) on GPU and CPU.
A deep learning-based facial detection library for Python with facial landmark extraction.
A computer vision library for human-computer interaction, focusing on head pose estimation, gaze direction, skin detection, motion tracking, and saliency mapping using CNNs.
A smart and easy-to-use image masking and cutout SDK for iOS and iPadOS mobile applications.
TensorFlow implementation of YOLO for real-time object detection using pretrained YOLO_small, YOLO_tiny, and YOLO_face models.
A desktop application for semi-automatic image annotation using OpenCV's watershed algorithm with manual brush refinement.
An open-source, plugin-based image processing framework in Python that integrates with numpy-based libraries like scikit-image and OpenCV.
Automated, hardware-independent hand-eye calibration for ROS1 with GUI support for robot vision tasks.
An open-source tool for fast and accurate Optical Mark Recognition (OMR) from scanned documents or mobile photos.
A CVPR 2018 algorithm for efficient multi-person pose estimation and tracking in videos, ranking first in the ICCV 2017 PoseTrack challenge.
An open-source visual-inertial odometry system that estimates camera motion and sparse 3D maps from camera and IMU data.
A collection of CAPTCHA-breaking implementations using OpenCV, Tesseract OCR, and machine learning algorithms.
A ROS package for calibrating camera and LiDAR sensors using OpenCV's PnP and Levenberg-Marquardt optimization.
Bridge between ROS 2 and OpenCV for real-time computer vision applications.
Bridge between ROS 2 and OpenCV for real-time computer vision applications.
ROS-based framework and Raspberry Pi image for controlling PX4-powered drones, enabling easy autonomous flight development.
A Swift library providing NumPy-like matrix operations and machine learning algorithms for iOS/macOS development.
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