yolov8-obb

This repository is forked from shouxieai/tensorRT_Pro, extending it to support a wide range of vision models with high-performance TensorRT C++ inference.

Converting COCO annotation (CVAT) to annotation for YOLO-seg (instance segmentation) and YOLO-obb (oriented bounding box detection)

Tensorrt codebase to inference in c++ for all major neural arch using onnx

This powerful and flexible application, developed using PyQt6, processes 4 video streams in real-time with the YOLOv8-OBB model, supporting cameras, video files, for efficient object detection and result saving, tailored to meet specific client requirements.

YOLO Oriented Bounding Box (OBB) detection on NVIDIA DeepStream 9.0

Diamorph object detection

End-to-end, reproducible pipeline for fine-tuning YOLOv8-OBB on SAR imagery, including dataset extraction and validation, exploratory data analysis, annotation cleaning, DOTA-to-YOLO OBB conversion, optimized training, rigorous evaluation, and interactive Gradio deployment for accurate oriented vehicle detection on SIVED.

This project is a YOLO based surveillance system designed to assist wildlife conservation efforts. It utilizes a dual-model computer vision pipeline to detect wildlife species and identify potential poaching threats in real-time.

This project interacts with an EPSON VT6-A901S 6-axis articulated industrial manipulator to pick and place microelectonic modules from a table into a depo box using OpenCV, TensorFlow, and TCP/IP messaging.

YOLOv8-OBB parking occupancy detection · FastAPI + React · 99.48% mAP50

YOLOv8 Oriented Bounding Boxes tester