Search Results for "claw-code"
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Showing 12 open source projects for "claw-code"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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OpenCV
Open Source Computer Vision Library
The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials! -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
...It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out this example code for training on the Stanford Natural Language Inference (SNLI) Corpus. Now you've setup your pipeline, you may want to ensure that some functions run deterministically. Wrap any code that's random, with fork_rng and you'll be good to go. Now that you've computed your vocabulary, you may want to make use of pre-trained word vectors to set your embeddings. -
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GLMixer
Graphic Live Mixer
...The output of your operations is shown in the output window, typically displayed in full-screen on an external monitor or a projector. But the output can also be saved as a video file. Control GLMixer through network using OpenSoundControl, and generate graphics with ShaderToy GLSL code. Download : https://sourceforge.net/projects/glmixer/files/ Please note GLMixer is discontinued and superseded by vimix https://brunoherbelin.github.io/vimix/ -
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OpenFace
A state-of-the-art facial behavior analysis toolkit
OpenFace is an advanced facial behavior analysis toolkit intended for computer vision and machine learning researchers, those in the affective computing community, and those who are simply interested in creating interactive applications based on facial behavior analysis. The OpenFace toolkit is capable of performing several complex facial analysis tasks, including facial landmark detection, eye-gaze estimation, head pose estimation and facial action unit recognition. OpenFace is able to... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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GPUImage 2
Framework for GPU-accelerated video and image processing
...The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. ... -
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cBroadcast
Playout Server that can act as a TV Station in a Box
*** this version is outdated email : software.chasapis@gmail.com to get the latest code Bug fixes, code optimization + compliance recorder, ingest recorders, stream renderer (udp, rtsp, hls) e.t.c. TV Station in a box server This is a TV Station scheduled playout video server with statics and animated graphics. (png sequences) Position/Alpha/Size of the PNGs are total configurable. Rundown with time calculations and program scheduling. -
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Graphene Dashboard
Graphene is a realtime dashboard & graphing toolkit based on D3
...The project provides a highly customizable and hackable client-side engine: you define “widgets” such as time series graphs, gauges or labels, hook them to data providers, and the toolkit handles ingestion, rendering and live updates. While the code is somewhat dated (it uses Backbone + CoffeeScript/JavaScript rather than newer frameworks), it remains useful for legacy setups or teams wanting to build simple real-time dashboards without heavy infrastructure. The repository includes example dashboards and a builder API to define data sources and widget configurations. It also emphasises aesthetic and performance considerations, aiming to support thousands of data points and live refreshes in the browser. -
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A comprehensive software suite for reading barcodes. Supports EAN/UPC, Code 128, Code 39, Interleaved 2 of 5 and QR Code. Includes libraries and applications for decoding captured barcode images and using a video device (eg, webcam) as a barcode scanner.
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code in this repository is now deprecated, vvvv has moved to github. please see: https://github.com/vvvv/vvvv-sdk --- a collection of standards-based plugins compatible with (among others) vvvv: video tracking plugins based on the freeframe api, audio/video directshow filters, and plugin nodes based on vvvvs own plugin interface. for vvvv see: http://vvvv.org
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HornetsEye Ruby Computer Vision Library
Ruby computer vision library
Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2). Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The source code is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information). -
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ViewMAX CCTV DVR
ViewMAX is a feature enhanced branch of ZoneMinder.
ViewMAX is a feature enhanced branch of ZoneMinder. It includes a new look and feel, and attempts to maintain compatibility with it's original ZM parent code tree. This project is no longer being extended or supported. -
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The webcam computer vision (WCCV) project focuses on computer vision algorithms and systems that follow the web cam paradigm: cheap, robust and efficient. The project comprises designs, patterns, code, tutorials and examples.
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