Computer Vision
Showing 36 of 711 projects
A sliding window framework for classifying high-resolution whole-slide microscopy and histopathology images using deep neural networks.
A real-time visual odometry pipeline using stereo event-based cameras, leveraging Time Surfaces for direct geometric mapping and tracking.
A C++ implementation of the Go-ICP algorithm for globally optimal 3D point cloud registration with outlier trimming.
A fast C++ GPU implementation of Convolutional Neural Networks with multi-GPU support.
An open-source, low-cost, camera-based weed detection device for precision spot spraying in agriculture.
An open-source ROS-based platform with practical exercises for learning robotics, AI, and computer vision.
Winning solution for the Galaxy Challenge on Kaggle, using convolutional neural networks to classify galaxy morphologies.
A single-stage 3D object detector for point clouds that improves localization precision by explicitly leveraging structure information.
A deep learning framework for detecting and localizing upper-body, lower-body, and full-body clothes in fashion images.
A Caffe implementation of MTCNN for joint face detection and alignment using a multi-task cascaded convolutional neural network.
A TensorFlow implementation of the neural style transfer algorithm that applies artistic styles to images.
Classify images offline on iOS using Watson Visual Recognition trained models and Apple's Core ML framework.
A Torch implementation of a VIS+LSTM model for answering questions about images using deep learning.
A Swift library that uses iOS 11 Vision API to automatically detect and crop faces from images.
A ROS-based object detection and pose estimation library for 2D and 3D applications using OpenCV.
A deep learning library for single-cell analysis of biological images, specializing in cell segmentation and tracking.
A PyTorch implementation of TResNet, a high-performance convolutional neural network architecture optimized for GPU training and inference.
A Python implementation for fully automatic extrinsic calibration of 3D LiDAR and cameras using laser reflectance intensity.
A real-time, uncertainty-aware deep learning model for semantic segmentation of 3D LiDAR point clouds in autonomous driving.
A ROS wrapper for the AprilTag 3 visual fiducial detector, enabling marker-based pose estimation in robotics applications.
A 3D vision library for monocular and stereo 3D human detection, social distancing, and body orientation estimation from 2D keypoints.
A GPU-accelerated C++ library for visual-inertial odometry frontend tasks, optimized for high-speed robotics.
A benchmark dataset and toolkit for RF-based drone detection and identification using raw IQ data and deep learning models.
A Flutter plugin for barcode scanning, text recognition (OCR), and face detection using Google Mobile Vision APIs.
ROS & ROS2 implementation of Patchwork++, a fast and robust ground segmentation method for 3D LiDAR point clouds.
A neural network for object detection using multi-level fusion of camera and radar data, built on Keras RetinaNet.
An image processing library built on JAX, designed to be optimized and parallelized with JAX transformations.
Utility scripts for loading, visualizing, and inspecting the KITTI-360 autonomous driving dataset.
A generic C++ library for image analysis and computer vision using template-based generic programming.
An AI-powered captcha solver using SimGAN to generate synthetic training data without manual labeling.
Image quality is an open source software library for Image Quality Assessment (IQA).
A comprehensive Jupyter notebook tutorial covering computer vision and machine learning basics using OpenCV and Keras in Python.
A minimalist GPU-only framework for N-dimensional convolutional neural networks focused on speed and hackability.
Lua bindings to ImageMagick and GraphicsMagick for LuaJIT using FFI, enabling image manipulation from Lua scripts.
A neural network for real-time 6D object pose tracking in video using RGB-D data, trained only on synthetic images.
A Go library for detecting nudity in images, ported from nude.js.
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