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YOLOv4 Tutorial #2 - How to Run YOLOv4 on Images and video

Dec 03, 2020

If you want to implement the latest YOLOv4 on images and video, then check out this tutorial on how install Darknet and thus run YOLOv4 in python.

►YOLOv4 Course + Github -

►Ultimate AI-CV Webinar -


0:00 - Introduction

2:03 - Downloading DarkNet

2:45 - Copying Open files into Darknet

3:57 - Changing the CuDNN version in Darknet

4:50 - Compile YOLOv4 with updated CUDA version.

5:29 - Compiling Darknet

8:27 - Run Detection on Images

10:03 - Run Detection on Videos

10:53 - Summary

Hey guys and welcome back, so in the last lecture, we spent some time setting up the prerequisites for YOLOv4, like Visual Studio, Python, CUDA, CuDnn and OpenCV. If you have not completed the previous tutorial, then I highly suggest that you do because this lecture builds upon the steps we took in the previous tutorial. So if you have completed that tutorial, then this lecture we are going to be installing Darknet Framework and thus YOLOv4. By the end of this tutorial you will be able to implement YOLOv4 on an Image and on Video.

-CMD for Images-

darknet.exe detector test cfg/ cfg/yolov4.cfg yolov4.weights

-CMD for Videos-

darknet.exe detector demo cfg/ cfg/yolov4.cfg yolov4.weights PATH_TO_THE_VIDEO


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