opencv
Projects with this topic
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This is a face recognition program that uses a webcam feed to detect and recognize faces. It allows the user to register new faces by associating them with names and stores this information for future recognition
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Application devoted to show how to run neural networks like Yollov3-7 with AuroraOS.
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This research was conducted at the Adhesives and Composite Materials Laboratory (LAMC) at the University of Bío-Bío. The main objective of the study was to measure the shadow projected by a specific machine.
Esta investigación fue realizada en el Laboratorio de Adhesivos y Materiales Compuestos (LAMC) de la Universidad del Bío-Bío. El objetivo principal del estudio consistió en medir la sombra proyectada por una máquina específica.
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Projet de positionnement spatial par analyse visuelle mené dans le cadre du cours de Computer Vision à CentraleSupélec.
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The project provides an example of using video filters to finding documents
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A collection of Computer Vision projects and code samples
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FRScanner - Face Recognition Scanner
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A real-time human counting system with age and gender classification.
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Python CLI app that turns photos into compressed black-and-white document images. Perfect for bookkeeping.
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Application template to add and use the OpenCV library.
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A simple viewer for document cameras with basic adjustments (pan, zoom, brightness) written in Python using CV2 and Tkinter.
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Pure Python library to convert ros image message data from and to opencv2.
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LLAMI (Lion Launch Analytics Metrics Insights) is a tool for automatic collection, processing, and analysis of rocket launch data. This project provides accurate data and detailed analysis of launches for availability and use by the general public, space enthusiasts, and engineering students. This enables the creation of custom statistics, 3D models, and other educational and research projects.
Note: Our team is continuously improving and expanding the functionalities of LLAMI to offer even more tools and value to our sexy users.
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Python application to compare two images
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