Search Results for "detect it"
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Showing 14 open source projects for "detect it"
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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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JET.jl
An experimental code analyzer for Julia
JET employs Julia's type inference system to detect potential bugs and type instabilities. JET is tightly coupled to the Julia compiler, and so each JET release supports a limited range of Julia versions. See the Project.toml file for the range of supported Julia versions. The Julia package manager should install a version of JET compatible with the Julia version you are running. -
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Zenith
Sort of like top or htop but with zoom-able charts, CPU, GPU
...If one needs to build with NVIDIA support in a virtual environment, then it requires some more setup since typically the VM software is unable to directly expose NVIDIA GPU. Unlike the runtime zenith script, the Makefile has been setup to detect only the presence of required NVIDIA libraries, so it is possible to build with NVIDIA support even when without NVIDIA GPU. -
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ImageInTerminal.jl
Julia package for displaying images in the terminal using ANSI colors
ImageInTerminal is a drop-in package that once imported changes how a single Colorant and whole Colorant arrays (regular images) are displayed in the interactive REPL. The displayed images will be downscaled to fit into the size of your active terminal session. By default, this package will detect if your running terminal supports 24-bit colors (true colors). If it does, the image will be displayed in 24-bit colors, otherwise, it falls back to 8-bit (256 colors). -
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PAMGUARD
Detection Classification and Localisation of marine mammals
The PAMGUARD project develops software to help detect, locate and classify marine mammals using Passive Acoustic Monitoring. This project is being migrated to github at https://github.com/PAMGuard. Please go there for the latest updates. thank you sourceforge for hosting us for all these years. -
The Original Buy Center Software.VAN sources private-party vehicles from over 20 platforms and provides all necessary tools to communicate with sellers and manage opportunities. Franchise and Independent dealers can boost their buy center strategies with our advanced tools and an experienced Acquisition Coaching™ team dedicated to your success.
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iTag
Tag images using various categories and modifiers
iTag has been designed for researchers that rely on photographic census techniques of animals that are hard to detect via image recognition algorithms and was originally developed for counting Grey Seals in the German wadden sea during March 2013. It has since then been further expanded and has now reached beta status. iTag allows Users to define up to 9 different categories and name them accordingly. In addition, 4 modifiers are available to further increase the options during a tagging session. ... -
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Python Open Source Echosounder Toolkit
real-time visualization of network data broadcasts from echosounders
...The Python Open Source Echosounder Toolkit (pyOSET) was designed to facilitate this process by providing near real-time visualization of network data broadcasts from multiple echosounder systems, and to serve as a framework for implementation of algorithms to detect, locate, and identify fish or the seabed. An Alpha release of the software is available under the GNU General Public License, version 2. Many practical aspects of the user interface are still in the planning and development phase. Those who wish to participate in the development of pyOSET are encouraged to subscribe to the Developer's Mailing List. ... -
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Schedule Visualization
Tool to visualize and create time-triggered schedules as gant-chart.
...The tool is linked to scheduling and schedule integration algorithms which allow to generate time-triggered schedules and visualizes the calculated schedules. The generated schedule might then be exported to a C header file to update the system schedule. It also supports an online mode using a network monitor to detect if nodes are offline and updates its status in the visualization, e.g., for fault-tolerant systems. The tool expects an XML-based description for the system specification and allows to export generated schedules as XML. -
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GoFigure2 is an open-source, cross-platform application for visualizing, processing and analyzing of multidimensional microscopy data. Users can visualize, segment and track cells through time, detect cell-division and ultimately generate lineages.
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detect human presence Uses artificial neural network Complete netbeans project No need to train Just start to use it as u like!
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Most modern and flexible cloud platform for MLM companiesFor direct selling (MLM) companies, from startup to well established enterprises with millions of distributors across the world
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Extremely Lightweight Beat Detection Algorithm - BeatDetektor uses a very simple statistical model designed from scratch by myself to detect the BPM of music and provides real-time feedback useful for visualization and synchronization.
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A high performance visualization tool for stars and particles able to run on Beowulfs. Rendering step is implemented separately and optimized for SSE, compatible with OpenGL. Navigation mechanism with quaternions. Ten color maps, sobel contour detect
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Program to detect human faces on a digital picture. It uses a MLP neural net that receive relative distances from face distribution clusters of the image space. Written in C++. Requires newmat and libann libraries.
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Wavelets At Work is a graphical tool (written in java) using wavelets in order to detect discontinuity of an input signal.
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A tool suite to analyse protocol streams and whose flow characteristic. On the other side, the tool suite can be used to gather information about the network infrastructure and detect bottlenecks.
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