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satelligence / classifier
Apache License 2.0A landcover classification tool based for humans. Classifier does "traditional" supervised and unsupervised learning. Image segmentation and soon also object detection
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a brief guide to making a custom YOLOv3 detector, from image annotation to model training
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This repository contains the codebase for the analysis performed in Premier Badminton League (2019).
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This project deals with training of convolutional neural network for licence plate detection in video. Darknet technology was used for detection, specifically the YOLOv3-tiny neural network model.
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Implementation of Movement Aid for the Visually-Impaired by Using CNN based Learning Architecture
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A 3D Stereo Vision Camera that tracks an object and displays its distance.
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Converting MS-COCO annotations to Pascal VOC format
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AlexeyAB darknet version with improvements with test/demo
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3D single object detection
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3D object detection in cluttered scene
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2D object detection in cluttered scene
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Gutenberg is a pipeline for training a neural network in segmenting and recognising frequent words in early printed books, in particular we focus on Gutenberg’s Bible.
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IRAFM AI / BB refinement
MIT LicenseA simple NN that can increase the accuracy of existing object detectors.
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Kirill Grim / Video Processor
MIT LicenseA tool which allows end-user simple video processing in terms of object detection, classification and tracking.
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Candidate Extraction in Two-stage Localization Models - implementation of RPN (Region Proposal Network), localization model proposed in Faster R-CNN. Implementation is in PyTorch deep learning framework. My undergraduate thesis computer vision project.
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