Object detection using YOLO v4 and pre trained model | Deep Learning Tutorial 32 (Tensorflow)

Video Description

In this video we will use YOLO V4 and use pretrained weights to detect object boundaries in an image. The model was trained on COCO dataset using YOLO V4. Watch this to understand how yolo algorithm works: https://www.youtube.com/watch?v=ag3DLKsl2vk Windows setup instructions: https://github.com/AlexeyAB/darknet#how-to-compile-on-windows-using-cmake Above, I was getting errors when I used .\build.ps1 command but using following command instead worked: powershell -ExecutionPolicy Bypass -File .\build.ps1 Make sure you are installing a compatible version of CUDA. For me it was CUDA 10.1, when I installed 11.x version I was getting all kind of errors so had to downgrade it to 10.1 Based on your system you might have to use a different version download yolov4.weights from https://github.com/AlexeyAB/darknet#how-to-evaluate-ap-of-yolov4-on-the-ms-coco-evaluation-server COCO labels: https://tech.amikelive.com/node-718/what-object-categories-labels-are-in-coco-dataset/ YOLO research papers YOLO v1: https://arxiv.org/abs/1506.02640 YOLO v2: https://arxiv.org/abs/1612.08242 YOLO v3: https://arxiv.org/abs/1804.02767 Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. #objectdetectionusingyolo #yoloobjectdetection #yolov4objectdetection #yoloalgorithm #yolov4 #yolodeeplearning 🌎 My Website For Video Courses: https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description Need help building software or data analytics and AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/ 📸 Instagram: https://www.instagram.com/codebasicshub/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin: https://www.linkedin.com/company/codebasics/ ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.