Found 310 repositories(showing 30)
tryolabs
Deep Learning toolkit for Computer Vision.
alibaba
An all-in-one toolkit for computer vision
PaddlePaddle
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
ZumoLabs
Synthetic data for computer vision. An open source toolkit using Blender and Python.
ashawkey
A niche toolkit for 3D computer vision tasks.
roboception
Computer Vision Toolkit. cvkit is available for Linux as well as for Windows. It offers useful tools for viewing and analyzing images and 3d models.
ROCm
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX also delivers a highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions.
This repository provides a set of tools and libraries to integrate Intel® OpenVINO™ Toolkit with ROS 2 (Robot Operating System), enabling efficient deployment of deep learning models for computer vision applications on Intel® hardware.
willard-yuan
CVT, a Computer Vision Toolkit.
intel-iot-devkit
Use computer vision inference in the Intel® Distribution of OpenVINO™ toolkit to provide analytics on customer engagement, store traffic, and shelf inventory.
cvondrick
obsolete python computer vision toolkit.
srohit0
MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.
lxy5513
computer vision Toolkit of pytorch
drsrinathsridhar
The Toolkit for 3D Vision (tk3dv) is a collection of tools for deep learning and 3D computer vision.
OpenHeartDevelopers
An Interactive Medical Imaging Platform with Image Processing and Computer Vision Toolkits for Cardiovascular Research.
gamman
The Mobile Robot Programming Toolkit provides C++ developers an extensive, portable and well-tested set of libraries and applications which cover the most common data structures and algorithms employed in a number of mobile robotics research areas: localization, Simultaneous Localization and Mapping (SLAM), computer vision and motion planning (obstacle avoidance).
高光谱图像计算机视觉分类图像预处理工具集,包含去除图片无关背景,数据增强,生成标签文件等功能
Kitware
The Natural Robustness Toolkit (NRTK) is an open source toolkit for generating operationally-realistic perturbations to evaluate the natural robustness of computer vision algorithms.
fusiello
Andrea Fusiello's computer vision Matlab functions
bxt-kk
Vikit-learn is a computer vision processing toolkit developed using Python, based on deep learning technology.
davidezordan
A simple project for analysing visual content using HoloLens, Computer Vision APIs, Unity and the Mixed Reality Toolkit.
jwwangchn
Python Toolkit of Computer Vision Research.
oechenique
🛰️ Python-powered remote sensing toolkit for Earth observation! From satellite image processing to feature extraction, explore advanced raster analysis techniques and unlock geospatial insights using machine learning and computer vision. Level up your remote sensing skills with hands-on tutorials and practical workflows. 🌍
openvino-dev-samples
This sample shows how to deploy an industrial computer vision model to detect real world analog pointer meters and extract corresponding digital readings using OpenVINO™ toolkit.
OOXXXXOO
The Computer Vision Research Toolkit
Limbicnation
A comprehensive Python toolkit for local deployment of Microsoft's Florence-2 vision model. Process images with state-of-the-art computer vision capabilities including object detection, image captioning, and visual analysis.
Hourout
tf.Keras implementations of a Deep Learning Toolkit for Computer Vision
MrinmoiHossain
Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications, and run pre-trained deep learning models for computer vision on-premise.
Phirat-Passi
One of the most important operations in Computer Vision is Segmentation. Image segmentation is the task of clustering parts of an image together that belong to the same object class. This process is also called pixel-level classification. Here, it involves partitioning images (or video frames) into multiple complex segments or objects in order to produce optimum augmented images utilizing the U2Net and Rembg Image Proceesing Models with OpenVINO toolkit.
kiritigowda
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit.