Computer Vision
Showing 36 of 711 projects
A general-purpose PyTorch codebase for 3D object detection with state-of-the-art model implementations and multi-dataset support.
An efficient neural network for semantic segmentation of large-scale 3D point clouds using random sampling.
Official repository for Big Transfer (BiT) models, providing pre-trained visual representations for efficient transfer learning across computer vision tasks.
A curated list of resources for Document Understanding (DU), covering research, datasets, tools, and applications in Intelligent Document Processing.
A target-less, automatic toolbox for LiDAR-camera extrinsic calibration that works with various sensor models without requiring calibration targets.
A foundational PyTorch library for training deep learning models, serving as the core engine for the OpenMMLab ecosystem.
A desktop application for semi-automatic image annotation using OpenCV's watershed algorithm with manual brush refinement.
A deep learning framework for feature learning directly from point clouds using X-Conv operations, achieving state-of-the-art results in classification and segmentation.
A MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications.
An open-source differentiable dense SLAM library for PyTorch, enabling gradient flow from map outputs to sensor inputs.
A curated list of awesome CAPTCHA libraries for generation and tools for cracking them.
A pure PHP library for detecting and decoding QR codes without external extensions.
A fast, modular PyTorch reference implementation for training and evaluating semantic segmentation models.
An open-source, N-dimensional image processing platform for scientific imaging with a modular, headless architecture.
Open-source flight software, simulator, and tools for NASA's Astrobee free-flying robots on the International Space Station.
A curated collection of TensorFlow Lite models, sample apps, tools, and learning resources for mobile and edge AI development.
A curated collection of papers, datasets, and resources for 2D/3D human pose estimation, mesh representation, and related computer vision tasks.
A technique using Fourier feature mappings to enable neural networks to learn high-frequency functions in low-dimensional domains.
A deep learning technique for finding semantically-meaningful dense correspondences between images to enable visual attribute transfer.
A curated collection of open-source computer vision pre-trained models across TensorFlow, Keras, PyTorch, Caffe, and MXNet frameworks.
A Blender addon for importing photogrammetry and NeRF data from various reconstruction libraries and point cloud formats.
A curated list of awesome LIDAR sensors, datasets, libraries, algorithms, frameworks, and simulators for robotics and autonomous driving.
A curated list of awesome LIDAR sensors, datasets, libraries, algorithms, and simulators for robotics and autonomous driving.
Train neural networks with OpenStreetMap data and satellite imagery to classify roads and map features.
A PHP library that extracts dominant and representative colors from images using human-like perception.
Fast and robust algorithm for segmenting Velodyne LiDAR point clouds into objects for autonomous driving applications.
A curated repository of famous Vision-Language Models (VLMs) detailing their architectures, training procedures, and datasets.
Scene text detection using Connectionist Text Proposal Network (CTPN) for detecting text lines in natural images.
A PyTorch implementation of self-supervised monocular depth estimation using 3D packing for high-resolution, real-time depth prediction.
A curated collection of papers, toolboxes, and notes for LiDAR-camera extrinsic calibration methods.
A library for building high-performance custom human pose estimation applications with real-time inference and flexible model development.
A curated list of resources for random forest and other tree-based machine learning methods.
Python tools for working with the KITTI autonomous driving dataset, providing data loaders and utilities for computer vision and robotics.
A curated collection of resources, papers, and frameworks for image-to-image translation research and applications.
A collection of Swift code examples demonstrating Depth APIs on iOS devices with dual or TrueDepth cameras.
A curated list of delightful npm packages that showcase surprising and innovative JavaScript capabilities.
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