Jump to navigation Jump to search
- https://en.wikipedia.org/wiki/List_of_manual_image_annotation_tools - Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. Such annotations can for instance be used to train machine learning algorithms for computer vision applications.
- Motion - a program that monitors the video signal from cameras. It is able to detect if a significant part of the picture has changed; in other words, it can detect motion.
- OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.
- CVAT - Open Data Annotation Platform. Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
- https://en.wikipedia.org/wiki/Computer_Vision_Annotation_Tool - a free, open source, web-based image and video annotation tool which is used for labeling data for computer vision algorithms. Originally developed by Intel, CVAT is designed for use by a professional data annotation team, with a user interface optimized for computer vision annotation tasks. CVAT supports the primary tasks of supervised machine learning: object detection, image classification, and image segmentation. CVAT allows users to annotate data for each of these cases. CVAT has many powerful features, including interpolation of shapes between key frames, semi-automatic annotation using deep learning models, shortcuts for most critical actions, a dashboard with a list of annotation projects and tasks, LDAP and basic access authentication, etc.
- TUIO - an open framework that defines a common protocol and API for tangible multitouch surfaces. The TUIO protocol allows the transmission of an abstract description of interactive surfaces, including touch events and tangible object states. This protocol encodes control data from a tracker application (e.g. based on computer vision) and sends it to any client application that is capable of decoding the protocol. There exists a growing number of TUIO enabled tracker applications and TUIO client libraries for various programming environments, as well as applications that support the protocol. This combination of TUIO trackers, protocol and client implementations allows the rapid development of table based tangible multitouch interfaces. TUIO has been mainly designed as an abstraction for interactive surfaces, but also has been used in many other related application areas. Technically TUIO is based on Open Sound Control - an emerging standard for interactive environments not only limited to musical instrument control - and can be therefore easily implemented on any platform that supports OSC. Since the initial publication of the TUIO protocol specification to the public domain as part of the Reactable synthesizer, after its first implementation within reacTIVision, the protocol has been also adopted by several other projects related to tangible and multitouch interaction, such as the NUI Group and several other tangible interaction platforms. Due to its widespread adoption since, the TUIO protocol and API can be considered a community standard, to which this web site provides the principal information repository, such as the actual protocol specification, the TUIO client API definition and many other resources that may be necessary or useful for the development of TUIO based interactive applications.
- https://github.com/blakeblackshear/frigate - NVR With Realtime Object Detection for IP Cameras
- https://github.com/mynameisfiber/timescope - quick code to create a rolling shutter effect... I've been wanting to do this for a long time and finally took the 300cc's of "cowboy the fuck up" necissary to get opencv installed.
- openvis3d - Open Source 3D Vision Library
- http://lav.io/2014/06/videogrep-automatic-supercuts-with-python/ 
- https://github.com/xdspacelab/openvslam - a monocular, stereo, and RGBD visual SLAM system.
- https://github.com/kornia/kornia - a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions.