elcymon Goto Github PK

agrifood2018hackathon

Group Work on the beet root sorting Hackathon challenge

ardupilot_wiki

Repository for Ardupilot wiki issues and wiki-specific website infrastructure.

audio_gen

Python scripts for playing audio signals

bbox-label-tool

A simple tool for labeling object bounding boxes in images

bluetooth-proximity

Bluetooth Proximity Detection using Python

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cocodataset-filter

Notebook for filtering the categories in the COCO data set. This notebook depends on having the COCO PythonAPI installed and working properly. The notebook also provides a means of displaying bounding box on objects contained in it.

cpfa

An implementation of the CPFA algorithm for Gazebo simulator

cpfa-argos

cpp_astar

Udacity C++ Programming Nanodegree. A star search through a grid.

create-ical

cs231n.github.io

Public facing notes page

darknet

Convolutional Neural Networks

data_collection

Used for collecting data and saving them to a text file by listening to a ROS topic.

dnn-object-detection

This repository contains details of steps taken to train and test three object detection algorithms: Tiny-YOLOv3, Faster RCNN and MobileNet SSD

dog-cats-classifier

My solution for Dog and Cats classifier for the Pytorch challenge at Udacity

elcymon.github.io

My profile github page.

fcc-tribute-page

FreeCodeCamp Tasks: Tribute page to William Booth

generate-foraging-path

Given initial location of robots, targets, robot waypoints of targets picked up and nest, this repo implements a python script that generates the paths robot take to forage targets within the environment

get-imagenet-images

A python script to get images from imagenet, where the image links have been downloaded into a text file

glnumericalmodelingkit

Numerical modeling framework for Cocoa

images-to-video

Shell script that loops through directories to convert images of my simulation snapshots to videos. One video per experiment.

inference-analysis

This repo is a simple python code for investigating the performance of deep neural network for detecting litter. The analysis entails determining inference time difference between platforms, detection differences based on platform and also modelling the detection accuracies based on location of item on field of view.

learnopencv

Learn OpenCV : C++ and Python Examples

librecad-container

Singularity container for libreCAD

matlab-tests

minimal

Minimal is a Jekyll theme for GitHub Pages

models

Models and examples built with TensorFlow

modern-cpp-features

A cheatsheet of modern C++ language and library features.

mpl_styles

Style sheets for publications