Dilara-Benli's Stars
kumarapurv/Object-Detection-and-Depth-Sensing-for-a-Small-Autonomous-Racecar-System
Building the perception stage of a small autonomous racecar system running on NVIDIA Jetson TX2. ZED Stereo Camera is used for visual input. The algorithm is developed in Python 2 using Robot Operating System (ROS). It uses YOLO to extract the detected objects in the racecar's environment and their estimated distances obtained from the stereo camera parameters. This information is then fed to the master controller of the ROS node, which can then be used to plan and control the autonomous racecar.
MehmetOKUYAR/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
halilkrkn/Deep-Learning
Derin Öğrenme
halilkrkn/MachineLearning
Machine learning - Makine Öğrenmesi
gmgyan/Bank-Database-Design_MS-SQL
Designing a SQL database for bank
ibaiGorordo/ONNX-YOLOv7-Object-Detection
Python scripts performing object detection using the YOLOv7 model in ONNX.
WongKinYiu/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
stereolabs/zed-sdk
⚡️The spatial perception framework for rapidly building smart robots and spaces
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
MehmetOKUYAR/yolov7_tensorrt_test
YoloV7 model on traffic sign detection has been developed with the dataset set we have created
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
emasterclassacademy/Single-Multiple-Custom-Object-Detection
YunYang1994/tensorflow-yolov3
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
alperenyildiz/mask-detection
Real-Time Mask Detection with YOLOv4
yapay-ogrenme/googlecodelabs
TPU ile Yapay Sinir Ağlarınızı Çok Daha Hızlı Eğitin
adam-p/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.