Computer Vision
Showing 36 of 599 projects
A Swift framework for GPU-accelerated image and video processing on Apple platforms using Metal.
An interactive online learning platform for computer vision with a comprehensive Chinese ebook, code, and community.
An open-source, programmable machine vision camera platform that runs Python and supports AI models like TensorFlow.
A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.
Convert Caffe deep learning models to TensorFlow format for deployment and inference.
A Python toolkit for working with the nuScenes and nuImages autonomous driving datasets, providing data loading, visualization, and evaluation utilities.
A lightweight portable library for OpenGL display, interaction, and video input abstraction, widely used in computer vision prototyping.
A curated collection of academic papers, code, and resources for learning with noisy labels in machine learning.
A real-time monocular SLAM system that creates large-scale semi-dense maps using a fully direct approach without feature extraction.
A benchmarking suite comparing the performance of public convolutional neural network implementations across multiple deep learning frameworks.
A curated collection of hands-on data science project ideas and resources for learning machine learning and AI concepts.
A curated list of key papers and resources on implicit neural representations, a novel approach to parameterizing signals as continuous functions.
A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.
An open-source deep learning API and server written in C++ that supports multiple backends like PyTorch, TensorRT, and TensorFlow for training and inference.
A Go library that simplifies TensorFlow's Go bindings with method chaining, automatic scoping, and type conversion.
A direct sparse odometry library for real-time monocular visual SLAM, estimating camera motion from image sequences.
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.
Rust bindings for the OpenCV computer vision library, enabling Rust developers to leverage OpenCV's capabilities.
A pioneering object detection system that combines region proposals with convolutional neural network features, significantly advancing detection accuracy.
A clean, simplified implementation of the LOAM algorithm for real-time LiDAR odometry and mapping using Eigen and Ceres Solver.
A C++ library for fast approximate nearest neighbor searches in high-dimensional spaces with automatic algorithm selection.
A fast, comprehensive, and dependency-free image processing library for Node.js with native bindings.
A Java library for accessing integrated or USB webcams with a simple API and support for multiple capture frameworks.
A curated collection of papers, code, and resources on neural rendering techniques for computer vision and graphics.
A large-scale dataset of object-centric video clips with 3D bounding box annotations and AR metadata for 3D object detection research.
A Swift camera system for iOS providing easy integration, customizable media capture, and image streaming.
An efficient probabilistic 3D mapping framework based on octrees for robotics and computer vision applications.
A set of Vue.js components for detecting and decoding QR codes and other barcodes directly in the browser.
A high-performance C++ image processing and machine learning library optimized with SIMD instructions across multiple CPU architectures.
A curated list of datasets, tools, methods, review papers, and competitions for remote sensing change detection.
A dataset of 129.6 million computer-generated building footprint polygons for the United States, derived from satellite imagery.
A generalist algorithm for cellular segmentation with human-in-the-loop training and superhuman generalization across diverse microscopy images.
A fast semi-direct monocular visual odometry pipeline for robotics and computer vision applications.
An open source Python library and framework for building computer vision models on satellite, aerial, and large imagery sets.
A robust LiDAR odometry pipeline that works out-of-the-box without parameter tuning for accurate robot localization.
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