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jamiuayodejilateef's Projects

augmented-reality icon augmented-reality

Python and OpenCV project for AR tag detection and tracking, Image and 3D cube super-imposition

crack_segmentation icon crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

dnnlib icon dnnlib

dnnlib extracted from official StyleGAN implementation

docs icon docs

TensorFlow documentation

image-generation-using-gan icon image-generation-using-gan

The project deals with image generation with the help of a GAN. Data is obtained from: http://www.robots.ox.ac.uk/~vgg/data/flowers/.

intelligentedgehol icon intelligentedgehol

The IntelligentEdgeHOL walks through the process of deploying an IoT Edge module to an Nvidia Jetson Nano device to allow for detection of objects in YouTube videos, RTSP streams, or an attached web cam

machine_learning_complete icon machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

marslandmlalgo icon marslandmlalgo

Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.

models icon models

Models and examples built with TensorFlow

mslearn-mr-adt-in-unity icon mslearn-mr-adt-in-unity

This is a repo that holds the sample code for the Mixed Reality and Azure Digital Twins in Unity Learn Path

objectron icon objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

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