Search Results for "image processing c source code"

The core idea is to remove the error sources and difficulties of Deep Learning applications by providing a safe haven of commoditized practices, all available as a single core. While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. Ready for applications of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. ...

DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to...

...i'm going to use Automatic number plate recognition (ANPR): a system that recognizes the numbers of the vehicle plates by using OCR (optical character recognition) technology and Infrared cameras. This is going to be achieved by taking the license plate image from the camera and processing it using the software I’m going to develop together with an open source OCR system. The output is going to be a text version of the plate number. Then it is going to retrieve that number from a database and get the information of the vehicle owner. Note: Please note that you need emgucv installed. you also need to move the project files to: C:\Emgu\emgucv-windows-x86XXX\Emgu.CV.Example\ Please note: that the project was created using visual studio 2003, on windows xp. and it might not run fluently on newer versions. please try to update it.

Processing monocrome images to analyse the morphology. Input: image. Output: skeleton of the picture or class of the recognized object. May function as OCR.