Projects with this topic
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Crew Vision Attendance is a high-performance, real-time face recognition automated attendance system. It first creates a digital representation (embedding) of every employee's face from the images stored in the database. During live recognition, it compares the face seen by the camera with those stored embeddings and displays the matching employee's name.
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German number plates data for computer vision
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Ce projet porte sur la conception d'une application de Computer Vision capable d'estimer l'âge d'une personne à partir d'une photographie.
L'objectif est d'explorer l'utilisation du Deep Learning appliqué aux images et de construire une chaîne allant du prétraitement des images jusqu'à l'inférence du modèle dans une application.
Travaux réalisés :
Préparation et organisation du dataset d'images. Prétraitement et normalisation des images. Mise en place du pipeline de préparation des données. Expérimentation d'une architecture de Deep Learning pour la prédiction de l'âge. Entraînement du modèle sur les données préparées. Évaluation des performances du modèle. Intégration du modèle dans une application permettant de réaliser une prédiction à partir d'une photographie.Updated -
画像あわせリサイズツールは、元画像と派生画像の2枚を読み込み、派生画像を元画像のサイズ・見た目の収まりに近づけてリサイズするPython GUIツールです。
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Python creative coding workspace for automated video generation, animation experiments, procedural media, OpenCV, MoviePy, NumPy and FFmpeg.
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Application template to add and use the OpenCV library.
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Application devoted to show how to run neural networks like Yollov3-7 with AuroraOS.
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Modular AI toolkit designed to assist animation studio workflows through computer vision.
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Un conjunto de programas que realizan diferentes tareas con el seguimiento de expresiones faciales y movimiento de extremidades en tiempo real (haciendo uso de la cámara Web), los cuales genuinamente concluyen en un prototipo básico para controlar un avatar tridimensional mediante el movimiento del usario frente a una cámara, similar a lo que hacen los VTubers.
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Blur detection using OpenCV and Flask checks image sharpness using Laplacian variance. Users upload images via web app, and the system classifies them as blurry or clear instantly.
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Some tutorials and solutions to extract foreground from a background in a video using opencv
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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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This repo will have all resources, labs, data which I use/d on Kaggle Network
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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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Process UrT gameplay to gather distance stats for Game Life Balance: https://game-life-balance.com
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Detection and Localization of a Checkerboard calibration target containing L shape marker using template matching
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Pure Python library to convert ros image message data from and to opencv2.
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Real-time YOLOv7/YOLOv7‑Tiny object detection on low‑powered Jetson Orin Nano using TensorRT and a multi‑threaded ROS 1 pipeline for edge robotics, drone monitoring.
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Sistema di riconoscimento, tramite open-cv e algoritmi di visioning, delle pucce bruciate, con annesso sistema di notifica quando la camera ne rileva una.
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