yilmaz0734/auto-mission-updater-opencv yilmaz0734/auto-mission-updater-opencv

  • Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Python
  • Created over 2 years ago
  • Updated about 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
yilmaz0734/auto-mission-updater-opencv
github

yilmaz0734

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A system that updates the current missions as an object is seen by camera on the fixed-wing UAV.

More Repositories

1

BrainCTImageStrokeDetection-Segmentation

This project firstly aims to classify brain CT images using convolutional neural networks. In the second stage, the task is segmentation with Unet.
Jupyter Notebook
18
star
2

Flask-Spotify-Search-App-For-Websites

Spotify search app for websites. It provides finding the searched song on the Spotify database and show the cover image. Flask is used for implementing python.
HTML
3
star
3

Image-Augmentor-GUI-For-Data-Science

Image augmentation application with GUI.
Python
2
star
4

image-colorization-pytorch

PyTorch implementation and report of a Convolution based Image Colorization model from scratch. 3rd Take Home Exam of the course CENG483 (Intro to Computer Vision) of METU CENG department.
Jupyter Notebook
2
star
5

yilmaz0734

1
star
6

Algorithms-Data-Structures

Algorithms and data structures work archive in Java.
Java
1
star
7

RealTimeColorDetection

This sample project includes an implementation of object detection with video data.
Python
1
star
8

histogram-from-scratch

Includes the codes and report for Take Home Exam 1 of the CENG483 course (Introduction to Computer Vision). The purpose of the THE is familiarize ourselves with the concept of various types of histogram.
Jupyter Notebook
1
star
9

My-Personal-Website---HTML-CSS-Example

HTML
1
star
10

harris-detector-from-scratch

Includes the codes and report for Take Home Exam 2 of the CENG483 course (Introduction to Computer Vision). The purpose of this THE is to gain insight related to harris interest point detection.
Jupyter Notebook
1
star