Udacity CarND - Vehicle Detection and Tracking
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Updated
Mar 7, 2017 - Python
Udacity CarND - Vehicle Detection and Tracking
"Where is my coffee cup" is a simple research and fun project where computer vision program looking for difference between images and mark them by boundbox
Mirror only. Official repository is at https://src.doom.fm/citruspi/glyph-bbox-render
Simple object tracking by using the centroid tracking algorithm
In this project, I implement a framework to detect and track vehicles across different frames from road recordings.
The goal is to find a minimum area convex hull in higher dimensions. The work here is done under the jurisdiction of Information Technology University, Lahore, Pakistan
Textract Geometry Tool for annotating PDFs with bounding boxes for recognized LINE elements
Application which aims to visualise how tesseractOCR work
This repository is made up to support codes for this medium post: Features: tools for adding bboxes and corresponding labels. flexible to add more labels and its confidences and categories. an example code for object detection is provided. The code is developed using Test-Driven-Development.
This repository contains a simple project for the implementation of an object detection system, using bounding boxes. The project was implemented using Python and specifically the Keras framework.
A python wrapper library for various datasets.
Object classification and segmentation in images
Finds points within a distance of a latitude/longitude point using bounding coordinates
This is one of my micro project that aims to prepare image dataset from a video input and annotates it automatically.
Mirror only. Official repository is at https://src.doom.fm/citruspi/glyph-bbox-rs
Paper Name: Utilizing Convolutional Neural Networks and Gradient-weighted Class Activation Mapping (Grad-CAM) for Dairy Cow Teat Image Classification. Testing the impact of CNN and Grad-CAM in the accuracy of dairy Cows Teat Imaga classification. Dataset and testing software from: https://github.com/YoushanZhang/SCTL
Object detection toolbox for parsing, converting and evaluating bounding box annotations.
Proyecto que consiste en segmentar y reconocer los caracteres de una matricula de coche
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