Search Results for "export access image"
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Showing 6 open source projects for "export access image"
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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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GEDKeeper
GEDKeeper - opensource and crossplatform genealogy management program
GEDKeeper program is developed for work with personal genealogical database. The program is designed for extremely simple and intuitive interface. The program is very easy to install on the computer, fully supports the GEDCOM format, has no restrictions on the number of persons and generations, allows you to generate pedigrees, building several tree species, as well as print and save their images, provides fast navigation, filtering, searching and adding multimedia materials. In addition... -
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OSHMI - Open Substation HMI
SCADA HMI for substations, IoT and automation applications
Now with IEC61850 support! This project combines existing open source projects and tools to create a very capable, mobile and cloud-friendly HMI system that can rival proprietary software. This approach makes it possible to join forces of each project (Chromium, SVG/HTML5, PHP, Lua, SQLite, Inkscape, Lib61850, OpenDNP3, Nginx, Vega, PostgreSQL, Grafana,…) to achieve a great set of open, evergreen, modular and customizable tools for building great HMIs for automation projects. This is not... -
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Sn1per
Automated penetration testing & attack surface management platform
Sn1per is an offensive-security platform that combines reconnaissance, vulnerability scanning, exploitation, and reporting in organized workspaces. It automates phased discovery from open-source intelligence and subdomain enumeration through host identification, fingerprinting, and active verification. Multiple scan modes support individual targets, networks, web services, port ranges, and larger target lists. Results, evidence, and reusable loot are stored by workspace for continued... -
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DeepMask
Torch implementation of DeepMask and SharpMask
DeepMask is an early, influential approach to class-agnostic object segmentation that learns to propose pixel-accurate masks directly from images. Instead of first generating boxes and then refining them, the network predicts a foreground mask and an “objectness” score for a given image patch, yielding high-quality segment proposals suitable for downstream detection or instance segmentation. The model is trained end-to-end to align mask shape with object extent, which markedly improves... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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MicroLua DS
MicroLua brings Lua on the Nintendo DS for easy programming
MicroLua brings the programming language Lua on the Nintendo DS for easy and fast development of beautiful homebrews! Based on brunni's µLibrary, µLua is a Lua interpreter featuring fast drawings and many important functionalities. You can exploit your Nintendo DS with the simplistic yet powerful Lua language! On your cartridge, MicroLua is a NDS executable that shows as its frontend a great graphical shell from which you can explore your cartridge and run Lua scripts written for... -
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LuaCV
OpenCV library wrapper for Lua language
LuaCV is OpenCV library wrapper for Lua language. Main goal is to access fast image processing library to light-weight, non-type language. Thanks to CMake project is a much easier to compile it under many OS platforms which are supported by OpenCV. LuaCV is being developed at faculty of Electrical Engineering and Communication of Brno University of Technology in Czech republic. Working with: Lua 5.2, OpenCV 2.2-2.4 LuaCV-0.2.0 (svn rev. 62) is last version compatible with Lua 5.1 but working only with OpenCV 2.2 and below.
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