基于yolov5和OAK-D立体摄像机的防撞系统

# Collision-Avoidance-System May I present you a collision-avoidance-system using the DepthAI OAK-D ## Description For additional information to the project check out the detailed paper I wrote. Please also check out the added code, dataset, trained models, PowerPoint presentation and additional files. https://drive.google.com/drive/folders/1P4aJD1bQrliQuO2XWLKK_LW5oQck8lYP?usp=share_link ## Demo - YoloV5 COCO dataset https://user-images.githubusercontent.com/38126993/224107647-abcb29aa-e71e-4b83-9bcb-76eba793be66.mp4 Object Detection, Distance Messurement and Path Finding ## Getting Started 1. Clone the repo ``` git clone https://github.com/Jojo942004/Collision-Avoidance-System ``` 2. download the folders from google drive to get access to custom models trained on boat images, pretrained models of the yolov5 repo, custom boat dataset https://drive.google.com/drive/folders/1P4aJD1bQrliQuO2XWLKK_LW5oQck8lYP?usp=share_link 3. connect your OAK-D by Luxonis 4. simply run ``` python collision-avoidance-system.py ``` ## Additional Resources To gain access to trial data, custom models please visit https://drive.google.com/drive/folders/1P4aJD1bQrliQuO2XWLKK_LW5oQck8lYP?usp=share_link ## Object Detection in action https://user-images.githubusercontent.com/38126993/224103241-811ba76e-fdea-41a4-99da-8f456bd0a4cc.mp4 ## Presentation [Presentation Collision Avoidance System.pdf](https://github.com/Jojo942004/Collision-Avoidance-System/files/10934253/Presentation.Collision.Avoidance.System.pdf) ### Dependencies depthai==2.17.4.0 torch==1.12.0+cu116 torchaudio==0.12.0+cu116 torchvision==0.13.0+cu116 opencv-contrib-python==4.6.0.66 opencv-python==4.6.0.66 numpy math multiprocessing time ## Authors Johannes Zimmermann [@Jojo942004](https://github.com/Jojo942004)