MehmetOKUYAR
I'm working about - Artificial inteligence researcher - Computer vision - Deep learning MSc Computer Engineering
Academic Sight
MehmetOKUYAR's Stars
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
WongKinYiu/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
dbolya/yolact
A simple, fully convolutional model for real-time instance segmentation.
google-deepmind/tapnet
Tracking Any Point (TAP)
gkandemi/docker
Kablosuzkedi Kanalındaki Docker Serisi için Hazırlanmış Dokümantasyondur
YuelangX/Gaussian-Head-Avatar
[CVPR 2024] Official repository for "Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians"
kennethleungty/Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
augmentedstartups/AS-One
Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.
Deci-AI/data-gradients
Computer Vision dataset analysis
galenballew/SDC-Lane-and-Vehicle-Detection-Tracking
OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars
aycabingul/Freespace_Segmentation_-_Ford_Otosan_Intern
Determination of drivable area in highway images with semantic segmentation.
Bullah17/YOLO-bbox2seg
Converts a YOLO format bounding box dataset to a segmentation version using Meta's SAM (Segment Anything Network)
oguzaybilir/YOLOv7-Predict-with-UI
Using TRT and PyQt5, we have combined fast inferences and user-friendly interface.