#Computervision
Showing 20 of 20 repositories tagged #computervision, ranked by stars
Learn OpenCV : C++ and Python Examples
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
Collection of resources spanning key areas of Computer Science
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
AI for GNU Image Manipulation Program
Darknet/YOLO object detection framework
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
A one-stop repository for low-code easily-installable object detection pipelines.
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
This repository contains all the deep learning projects done as tutorial
Deploy Computer Vision solutions with a few lines of code.
[ICCV 2025] Repo for Objaverse++, Curated 3D Object Dataset with Quality Annotations
Vision framework example for my article. https://medium.com/compileswift/swift-world-whats-new-in-ios-11-vision-456ba4156bad
A re-implementation of BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network (ACM MM'18)
CSGNet: Neural Shape parser for Constructive Solid Geometry
A tool for running deep learning algorithms for semantic segmentation with satellite imagery
Car Model classification using Stanford Cars Dataset for Grab AI For Sea challenge on computer vision (https://www.aiforsea.com/computer-vision)
This Script simulates images based on how people with colorblindness would perceive it naturally. You can also vary the degree of colorblindness for simulating. This script can also be used to correct images, making differenciation of certain colors in an image easier for people with colorblindness.
A project on making a game like Quick Draw using Machine Learning with Convolutional Neural Network.