Object detection using YOLO v4 and pre trained model | Deep Learning Tutorial 32 (Tensorflow)
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 Published On Premiered Jan 7, 2021

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:    • What is YOLO algorithm? | Deep Learni...  

Windows setup instructions: https://github.com/AlexeyAB/darknet#h...

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#h...

COCO labels:
https://tech.amikelive.com/node-718/w...

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=des... for my affordable video courses.

#objectdetectionusingyolo #yoloobjectdetection #yolov4objectdetection #yoloalgorithm #yolov4 #yolodeeplearning

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