OpenKM is an Enterprise Content Management Software, often referred to as Document Management Systems (DMS), EDRMS, or CMS.
A Document Management Software (DMS) is a computer program used to store, manage, and track electronic documents and images of paper-based information captured using a document scanner or other means.
OpenKM is a management solution that allows businesses to control the production, storage, management, and distribution of electronic documents and control documents' flow
OpenKM is a document management software that integrates all essential document management, collaboration, and advanced search functionality into one easy to use solution. The system also includes administration tools to define various users' roles, access control, user quota, document security level, detailed logs of activity, and automation setup.
With OpenKM enterprise document management, you can:
Control your enterprise content. Collect information from any digital source. Collaborate with colleagues on documents and projects. Empower organizations to capitalize on accumulated knowledge by locating documents, experts, and information sources. Enterprise content management features. Manage digital content or documents.
Call +1 646 206 6071.
No features have been listed yet.
We had an excellent experience overall; the program, despite having many capabilities, serves its job, with only a few customer care issues. We are at ease using the program!
Based on our record, OpenCV seems to be more popular. It has been mentiond 50 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 9 months ago
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 12 months ago
FlexiQuiz - FlexiQuiz is a powerful online test generator that enables you to create engaging online quizzes, tests, or exams in minutes. Choose from 100's of features to create a customized quiz that meets your objectives for business, education, or fun.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
GoDesk - Give your customers the answers they want; quicker than ever before with GoDesk. The ideal on-premise or cloud based email support tool for startups and SMEs. Ditch the bloat and only pay for what you need. Starting at just $5 / user.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Fiverr Business - Connect with vetted, talented freelancers that help you get every task done.
NumPy - NumPy is the fundamental package for scientific computing with Python