Computer Vision
Showing 36 of 711 projects
Uses Canny edge detection and OpenCV to locate puzzle pieces in slide-based CAPTCHAs for automated solving.
A ROS-based tool for calibrating intrinsic and extrinsic parameters of multiple cameras using AprilTag targets.
A community-driven collection of end-to-end tutorials for creating and deploying TensorFlow Lite models on mobile devices.
A lightweight Go library for extracting dominant colors from images with zero external dependencies.
ROS wrapper for Orbbec Astra 3D cameras, enabling depth sensing and point cloud generation in ROS Kinetic, Melodic, and Noetic.
A JVM library providing the lowest barrier of entry to image processing, computer vision, and neural networks using OpenCV.
ROS driver for Point Grey cameras using the official FlyCapture2 SDK, enabling HDR and physics-based vision.
A TensorFlow implementation of the Mnemonic Descent Method for end-to-end face alignment.
A Python devkit for working with the Boreas and Boreas Road Trip all-weather autonomous driving datasets.
An open-source benchmark solution for the Kaggle TGS Salt Identification Challenge using semantic segmentation.
Flax implementations and pretrained checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX.
A NativeScript plugin for building augmented reality experiences on iOS and Android.
A freely usable dataset of over 5,000 labeled clothing images across 20 categories for machine learning projects.
A 3D object detection method that exploits visibility information from LiDAR point clouds to improve accuracy.
A ROS package for using CSI cameras on Nvidia Jetson platforms (TK1/TX1/TX2) with ROS via gstreamer and Nvidia multimedia API.
Library and utilities for working with ifm pmd-based 3D Time-of-Flight cameras, supporting O3R, O3D, and O3X platforms.
A deep learning model for classifying image aesthetic quality using Inception modules and fine-tuned connected layers.
A native extension for Adobe AIR that enables developers to integrate Microsoft Kinect motion sensing capabilities into desktop applications.
A Python package providing popular computer vision model architectures built with Equinox for JAX.
A ROS2 wrapper for real-time object detection, 3D localization, and tracking using RGB-D camera inputs.
An application that uses IBM Watson AI services and Cloud Functions to analyze videos, extracting visual and audio insights for search and categorization.
A tool for automatically detecting and suggesting mitigation for object, attribute, and geography-based biases in visual datasets.
A tutorial and demo using Hyperopt to auto-optimize CNN architecture and hyperparameters for the CIFAR-100 dataset with Keras/TensorFlow.
A ROS2 node for capturing video from USB cameras using OpenCV, publishing image topics and camera info.
A high-precision, grid-based C++ library for ground segmentation in LiDAR point clouds, designed for safety-critical autonomous driving and robotics.
Official JAX implementation of XMC-GAN for text-to-image generation using cross-modal contrastive learning.
Build persistent cloud-based AR apps that anchor digital content to real-world locations using ARKit and Swift.
C++ implementation of Local Binary Pattern texture descriptors with OpenCV and FFTW3 integration for fast computation.
A city-scale dataset and platform for learning holistic 3D structures from panoramic and perspective imagery with detailed annotations.
A Vue 3 component library for scanning QR codes from camera streams, image captures, and file uploads.
A collection of refactored, high-quality Android examples demonstrating TensorFlow Lite for on-device machine learning tasks.
A graphical user interface for annotating point clouds and 3D scenes with bounding boxes, keypoints, and rectangles.
A ROS2 package that accelerates training and deployment of computer vision models for industrial applications.
A TensorLayer re-implementation of CycleGAN with improvements like resize-convolution and instance normalization.
A curated archive of pre-trained computer vision models for object detection, face recognition, fire detection, and more.
A TensorFlow-based model that generates descriptive captions for images using an Inception-v3 encoder and LSTM decoder.
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