There are 21 repositories under computer-vision-tools topic.
Bundler Structure from Motion Toolkit
Video classification tools using 3D ResNet
Make drawing and labeling bounding boxes easy as cake
Web application for image labeling and segmentation
Deploy Computer Vision solutions with a few lines of code.
Python library for 2D/3D bounding boxes
Remove image background automatically
A web utility to draw polygons and retrieve their coordinates for computer vision applications.
Give me a star please. This document contains instructions/notes on how to install the Azure Kinect camera. Here I collected experiences that have arisen during the development of the following software for Azure Kinect DK camera: AK_ACQS Azure Kinect Acquisition System AK_SM_RECORDER - Azure Kinect Standalone Mode AK_FRAEX - Azure Kin
This is a series of computer vision foundational projects that anyone diving into the field must tackle.
Video classification tools using 3D ResNet
A suite of Machine Learning / Deep Learning Dockerfiles to allow Apache Tika to extract objects and to produce textual captions for images and video
A utility for locating near duplicate photos irrespective of image resolution, compression settings or file format.
OpenCV OCR (Optical Character Recognition)
Official code for the CVPR2019 workshop paper -- Scan-flood-Fill: an Efficient Automatic Precise Region Filling Algorithm for Complicated Regions
The purpose of this library are command line tools that enable content-aware image browsing from the CLI..
The CVF Open Access Downloader is a Python application designed to automate the bulk downloading of open-access papers from Computer Vision Foundation (CVF) conferences, including WACV, ICCV, and CVPR.
A toolkit for detecting and tracking crabs in the field.
Implementation of efficient backbones for computer vision task.
This repository details the various methods I have attempted for skin segmentation.
Open-CV for Beginners
The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorithm with a spatial based algorithm.
Course work for Udacity Computer Vision NanoDegree
Verify Data Annotations in Yolo and PASCAL VOC Format
Контроль работы спектрометрического комплекса на базе спектрометров СМ2201
🎭 🦸 🦹 A project based in Computer Vision, most precisely in Facial Detection and Virtual Reality. This project was built using Python, OpenCV (Open Source Computer Vision Library), Makefile, C++ (C Plus Plus), CMake, CUDA (Compute Unified Device Architecture) and C. The project it's a simple application to apply some Superheroes' Masks to the Detected and Recognised Faces by Video Capture/Stream, with support of Predictors and Machine Learning.
This tool was created to help students from my group easier create dataset for computer vision algorithms
Real-time Stereo & Motion capture software
Open-source Repository for PyMAiVAR software suit.