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Data Crow v4.10.0 Data Crow v4.10.0 The ultimate cataloger and organizer. You can easily catalog your media library or any other collection. Always wanted to manage all your collections in one product? You want a product you can customize to your needs? Your search ends here! Using Data Crow allows you to catalogue all your collectables, no matter how large your collection is. Using the excellent online services, you can instantly retrieve information about your books, software, games and movies. This information, combined with the file import, which can parse information from your e-books, software, images, music and movie files, means you won’t be doing a lot of typing. Are you collecting something which is not (fully) covered by one of the standard collection modules? No problem! Either customize an existing module by adding the fields you need or create your own module entirely. Data Crow comes as a full stand alone client; Your browser does not support the video tag. Additionally, Data Crow can run as a server. The server is both an application and a web service. Users can connect using the full client and/or they can use the Data Crow web client. Both clients can connect at the same time, working on the same server; Your browser does not support the video tag. Data Crow is a feature packed product which luckily comes with an internal help system (F1) to guide you on your journey through Data Crow. Also see the following manuals covering specific functionality such as creating new report templates and creating your own modules. An explanation on how to run a Data Crow Server. How to create a custom report for Data Crow. How to create a custom module. Available languages in Data Crow: Dutch, English, German, Spanish, Portuguese, French, Italian and Polish. Features: Standard Collection Modules Catalogue Software, Movies, Music, Images ... |
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9,168 | Aug 24, 2023 Robert Jan Van Der Waals  |
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OpenCV v4.10.0 OpenCV v4.10.0 (Open Source Computer Vision Library) 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. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 18 million. The library is used extensively in companies, research groups and by governmental bodies. Along with well-established companies like Google, Yahoo, Microsoft, Intel, IBM, Sony, Honda, Toyota that employ the library, there are many startups such as Applied Minds, VideoSurf, and Zeitera, that make extensive use of OpenCV. OpenCV’s deployed uses span the range from stitching streetview images together, detecting intrusions in surveillance video in Israel, monitoring mine equipment in China, helping robots navigate and pick up objects at Willow Garage, detection of swimming pool drowning accidents in Europe, running interactive art in Spain and New York, checking runways for debris in Turkey, inspecting labels on products in factories around the world on to rapid face detection in Japan. It has C++, Python, Java and MATLAB interfaces and ... |
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4,729 | Dec 12, 2024 opencv.org  |
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