MehmetOKUYAR
I'm working about - Artificial inteligence researcher - Computer vision - Deep learning MSc Computer Engineering
Academic Sight
Pinned Repositories
Augmentation_for_Yolo_labeling
Augmentation yolo format txt and images
Auto_video_label
Data is a huge factor in deep learning algorithms. The larger our data size, the better our model can generalize and learn. However, data preparation is a very laborious and time-consuming process. That's why I wanted to develop an application that I thought would make this stage easier. By using image processing techniques, it can track an object of your choice to a certain extent and saves the image and .txt file to the folder during tracking. Currently, it only works for one class and you can only label one object.
Convert-Mask-to-json-to-mask
If you are developing a segmentation model, you may need to convert your tags from json format to mask format. Thanks to the interface we have developed, you will be able to easily turn your labels into masks. Also, if you have masks and want to convert them to json format, you can easily do this with our application. This conversion comes to you in Mask R-CNN format, so if you have mask photos, you can easily convert them to .json files suitable for Mask R-CNN format. This convenience will allow you to convert the labels you have as you wish, even if they do not fit your format.
lane_segmentation
A model on lane detection has been developed with the data set we have created.
ubuntu-libs-kurulum
yapay zeka eğitimleri için gerkli kütüphanelerin kurulumları
Vehicles-Counting--Tracking-and-Speed-Estimation-with-YOLOv7-DeepSORT-Object-Tracking-and-Zone-Count
VideoSlicing
Data is a huge factor in deep learning algorithms. The larger the data, the better the model can learn. Thanks to this application, you can create a data set by dividing the videos you have taken into frames.
Yolo-Object-Detection-and-Distance-Measurement-with-Zed-camera
if you have a zed camera you can easily find the distance of the objects you have detected
yolov7_tensorrt_test
YoloV7 model on traffic sign detection has been developed with the dataset set we have created
Yolov8_Region_Create_and_Move_Count
MehmetOKUYAR's Repositories
MehmetOKUYAR/Udemy_DerinOgrenmeyeGiris
Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası
MehmetOKUYAR/Freespace_Segmentation_-_Ford_Otosan_Intern
Determination of drivable area in highway images with semantic segmentation.
MehmetOKUYAR/practice-with-keras-and-Tensorflow
MehmetOKUYAR/Practice-with-OpenCV
MehmetOKUYAR/albumentations
Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125
MehmetOKUYAR/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
MehmetOKUYAR/darknet_ros
YOLO ROS: Real-Time Object Detection for ROS
MehmetOKUYAR/git-cli-test
MehmetOKUYAR/Image-Augmentation-using-GAN
This repository contains python notebook for generating new set of images from existing images using Generative Adversarial Networks. The code has been tested on MNIST Dataset and can be extended to any other dataset
MehmetOKUYAR/Instagram-Redesign
Redesigned Instagram application that works in real time using the Instagram API
MehmetOKUYAR/LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
MehmetOKUYAR/RandomUserGenerator
Easy to generate user data
MehmetOKUYAR/spot-sdk
Spot SDK repo
MehmetOKUYAR/StyleFlow
StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows
MehmetOKUYAR/TensorFlow-2.3.1-YOLOv4-CSGO-aimbot
Will add it later
MehmetOKUYAR/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)