Computer Vision
Showing 36 of 711 projects
A Python toolbox for quantitative evaluation of visual(-inertial) odometry trajectories using alignment methods and error metrics.
An open-source library providing chest X-ray datasets, pre-trained models, and tools for medical imaging research and analysis.
A deep learning system for detecting known objects and estimating their 6-DoF pose from RGB images.
A curated list of recent research papers and resources on Vision and Language Pre-trained Models (VL-PTMs).
Automated, hardware-independent hand-eye calibration for ROS1 with GUI support for robot vision tasks.
A cross-platform library for USB video devices built on libusb, providing fine-grained control over UVC-compliant hardware.
A lean and fast C++ library for 3D point cloud data processing with efficient implementations of common operations.
A PyTorch implementation for super fast and accurate 3D object detection using LiDAR point clouds, featuring an anchor-free approach.
An open-source application for automated biological image analysis, enabling biologists to measure phenotypes from thousands of images.
An open-source tool for fast and accurate Optical Mark Recognition (OMR) from scanned documents or mobile photos.
A 3D segment-based mapping library for robot localization, environment reconstruction, and semantics extraction using LiDAR data.
A library of modular computer vision components built on Keras 3, supporting TensorFlow, JAX, and PyTorch backends.
A collection of pure-Rust computer vision libraries providing algorithms for photogrammetry, image processing, and pattern recognition.
A TensorFlow-based GAN model that upscales images by 4x while generating photo-realistic details.
A framework for semantic and instance segmentation of LiDAR point clouds using range images, designed for autonomous driving applications.
A PyTorch framework for efficient 3D semantic and panoptic segmentation using superpoint-based transformer architectures.
An efficient LiDAR-based semantic SLAM system that builds 3D semantic maps from laser scans.
A CVPR 2018 algorithm for efficient multi-person pose estimation and tracking in videos, ranking first in the ICCV 2017 PoseTrack challenge.
High-level TensorFlow network definitions with pre-trained weights for easy integration into existing ML workflows.
A PyTorch-based framework for training and validating models that produce high-quality embeddings for metric learning and retrieval tasks.
Deep learning inference nodes for ROS/ROS2 with support for NVIDIA Jetson devices and TensorRT.
A Rust image processing library for computer vision and graphics applications, built on the image crate.
A lightweight TensorFlow library for training and evaluating Generative Adversarial Networks (GANs).
A ROS package collection for processing raw camera images into calibrated, rectified formats for computer vision applications.
A video stabilization library that plugs into FFmpeg and Transcode to smooth shaky footage from handheld or vehicle-mounted cameras.
A virtual environment simulator for training embodied AI agents with real-world perception and physics, featuring domain transfer to real robots.
A curated list of open-source and commercial tools for labeling and managing datasets across images, audio, time series, and text.
Official JAX implementation of Mip-NeRF, a multiscale neural radiance field model for anti-aliased novel view synthesis.
A Python API for the Argoverse dataset, providing tools for 3D tracking, motion forecasting, and HD map interaction for autonomous vehicle research.
An open-source simulator for experimenting with and advancing self-driving AI, accessible to anyone with a PC.
A curated list of face-related algorithms, datasets, papers, and open-source libraries for computer vision research.
A curated list of awesome tutorials, blogs, and projects for the CARLA autonomous driving simulator.
A PyTorch implementation of Social GAN for predicting socially acceptable human trajectories using generative adversarial networks.
A Ruby binding for the libvips image processing library, offering fast, memory-efficient image operations.
TensorFlow implementation of an attention-based neural image caption generator that focuses on relevant image parts while generating words.
A modular ROS package for 3D/6D robot localization and point cloud registration using PCL, with dynamic map updates via OctoMap.
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