Projects with this topic
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Application devoted to show how to run neural networks like Yollov3-7 with AuroraOS.
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C++ Software which enables to launch a streaming video from a security camera. Detects motion in the video, and notifies the user by messages in case of motion detected.
GUI done in Qt5, and motion detection with OpenCV4.
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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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The images annotator application to annotate and provide data for training AI and neural networks.
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Android implementation of an offline computer vision algorithm for Malaria parasite detection and classification in thick blood smears (see research project).
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Implementation for color-icon-matrix barcodes Behold: an experimental barcode format for air-gapped data transfer. It can sustain speeds of 850 kilobits/s (~106 KB/s) using just a computer monitor and a smartphone camera! This project originally belongs to sz3 (GitHub). Whole salute goes to him for his marvelous work towards this kind of innovation.
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A collection of Computer Vision projects and code samples
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Computer Vision laboratory tasks
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Implemented the Semi-Global Matching (SGM) algorithm in C++ for computing dense disparity maps from stereo image pairs. Utilized OpenCV for image processing operations. The project involved computing matching costs using Census Transform and Hamming distance, performing cost aggregation along multiple paths, and estimating the final disparity map while incorporating smoothing constraints and confidence thresholding. Evaluated the disparity estimation accuracy by computing the mean squared error against ground truth data.
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OpenCV demo to lock the computer after the user looks away from it.
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C++ library to RLE encode/decode COCO standard JSON masks.
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C++ (OpenCV, YOLO) - 마스크를 착용하지 않은 사람을 탐지합니다.
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Software that detects and recognizes text on images.
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Secure & Autonomous Robot Assistants for Static and Dynamic Environments - This is the repository containing source code & user documentation for my BSc Computer Science project at the University of Leeds.
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