Search Results for "delphi opencv detection"
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Showing 23 open source projects for "delphi opencv detection"
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OpenCV
Open Source Computer Vision Library
OpenCV (Open Source Computer Vision Library) is a comprehensive open-source library for computer vision, machine learning, and image processing. It enables developers to build real-time vision applications ranging from facial recognition to object tracking. OpenCV supports a wide range of programming languages including C++, Python, and Java, and is optimized for both CPU and GPU operations. -
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Simd Library
C++ image processing and machine learning library with using of SIMD
The Simd Library is a free open-source image processing and machine learning library, designed for C and C++ programmers. It provides many useful high-performance algorithms for image processing such as pixel format conversion, image scaling and filtration, extraction of statistical information from images, motion detection, object detection and classification, neural networks. The algorithms are optimized with using of different SIMD CPU extensions. In particular, the library supports... -
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Nikkho
Javier Gutiérrez Chamorro (Guti) Open source projects
Javier Gutiérrez Chamorro (Guti) Open source projects Author's website: https://www.javiergutierrezchamorro.com -
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ArUco
Augmented reality library based on OpenCV
ArUco is a minimal library for Augmented Reality applications based exclusively on OpenCV. Relies on b/w markers with codes that are detected by calling a single function. Trivial integration of your augmented reality applications with OpenGL and OGRE. See documentation at https://drive.google.com/file/d/1OiavRVYVJ-WH88sQg1LUsh8CuJZUQyrX/view?usp=sharing -
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Imaging Instruments Lite
Image processing App for Windows Desktop
Imaging Instruments lite is a comprehensive image processing application developed following the Model-View-Controller (MVC) design pattern, utilizing Python, Tkinter, and OpenCV. It provides users with image manipulation capabilities, leveraging multi-threading with OpenMP and GPU acceleration using CUDA-C. Fueled by yerba mate and a passion for coding. Created by Agustin Tortolero. website: https://agustintortolero.pythonanywhere.com/ Source code: https://github.com/agustinTortolero... -
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YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package, you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. The YOLO packages have been tested under ROS Noetic and Ubuntu... -
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Loader For Apps
tool for windows 10 and windows 11
... in settings ini Soon OS detection for using the exact registry files. -
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opencv4nodejs
Nodejs bindings to OpenCV 3 and OpenCV 4
OpenCV4NodeJS is a Node.js binding for OpenCV, allowing developers to integrate computer vision capabilities directly into JavaScript applications for image processing, object detection, and facial recognition. -
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C++Builder with OpenCv345 face detect
C++Builder face detection
Embarcadero C++ Builder Face Detection FREE Source Code! Delphi and C++Builder FACE RECOGNITION,.... here: C++Builder: https://sourceforge.net/projects/c-builder-face-recognition/ Delphi: https://sourceforge.net/projects/delphi-face-recognition/ -
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node-opencv
OpenCV Bindings for node.js
OpenCV bindings for Node.js. OpenCV is the defacto computer vision library - by interfacing with it natively in node, we get powerful real time vision in js. People are using node-opencv to fly control quadrocoptors, detect faces from webcam images and annotate video streams. If you're using it for something cool, I'd love to hear about it! You'll need OpenCV 2.3.1 or newer installed before installing node-opencv. You can use opencv to read in image files. Supported formats are in the OpenCV... -
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ANNGD
Artificial neural network gender detection
ANNGD is a artificial neural network gender detection application. The detection is made in real time images captured by webcam by opencv library. The package include applications to image pre-processing and artificial neural network back-propagation training. -
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LSWMS
Line Segment detection using Weighted Mean Shift
Line Segment detection using Weighted Mean Shift -
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FreeCSVR
FreeCSVR is a Free Client for Stream Video Recording
Offering highly reliable, flexible and scalable network-based management for recording and streaming video surveillance footage, FreeCSVR is a Free Client for Stream Video Recording. Featuring industry-leading video quality, intelligent event detection, highly-efficient streaming and storage, and seamless remote access, FreeCSVR is the system video surveillance based on library OpenCV. -
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This program is able to detect circles in images. Therefor it uses the hough algorithm CvHoughCircles from the OpenCV library. You can define all parameters e.g. min-/max radius, min distance between circles, all kinds of thresholds, filters and so on.
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Face Detection and Recognition using Intel's OpenCV library
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SNFaceCrop, face detection and cropping
SNFaceCrop, face detection and cropping software
SNFaceCrop is a Windows-based application to detect and crop faces from an image file. The detected faces can be automatically saved into files or copied into the Windows clipboard. SNFaceCrop is open source and using OpenCV library for face detection. -
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Libface is a cross platform framework for developing face recognition algorithms and testing its performance.
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Fast Haar-like object detection develop to CELL processor based plataform. This is reimplementing stump based algorithm of OpenCV library.
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6DX is a COM-based 3D Engine for windows using DirectX. It features outdoor / indoor rendering, collision detection, portal-based visibility system, particle & effects system, sound, and its own internal GUI. Create 3D apps in VB6, Delphi, VB.NET or C++.
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garuda is an intrusion detection system against wireless threats. It is a progressive proof of concept project to ward off wireless threats such as war-drivers, rogue AP, wifi DoS and MAC spoofing attacks. Please enjoy and we welcome your volunteerism.
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