YOLOv4 Tutorial #1 - Installation in 10 Steps | OpenCV Python | Computer Vision 2020
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Hi guys, in this Computer Vision tutorial you will learn how to install YOLOv4 Object Detection in 10 Steps. I will show you how to set up YOLOv4 Darknet with OpenCV in Python.
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==Timecode== 0:00 - Introduction 3:46 - Installing Python 5:02 - Git Installation 5:17 - CMAKE Installation 5:43 - Visual Studio Installation 6:45 - Updating GPU Drivers 7:31 - CUDA Installation 9:05 - CUDnn Installation 10:52 - Open CV Installation 11:51 - CMake 12:50 - Building OpenCV in Visual Studio 13:56 - Summary
So in the last lecture, I spoke about how YOLOv4 works and why its so awesome! Today Im going to show you how to install the main dependencies in 10 Steps.
If you follow these steps with me you should be able to get YOLOv4 working on images, videos and webcams in the upcoming tutorials.
Let’s go through the 10 steps that we need to for YOLOv4.
• 1 day ago 3 subscribers Friendly timestamps. Contributed by Edgar Griñant - Thank you :) 0:00 0. Introduction 3:47 1. Install Python 5:02 2. Git Installation 5:17 3. CMake Installation 5:43 4. Visual Studio Installation 6:45 5. Updating GPU Driver 7:32 6. CUDA installation 9:05 7. CuDNN Installation 10:53 8. OpenCV Installation 11:51 9. CMake OpenCV Configuration 12:50 10. Building OpenCV in Visual Studio
Once you have completed the steps, in the next video, I will show you how to implement YOLOv4 on images, video and webcam.
►References: https://medium.com/@riteshkanjee/yolov4-superior-faster-more-accurate-object-detection-7e8194bf1872
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We teach YOLO v2, YOLO v3 and YOLOv4 Music Credit: Simon & Garfunkel The Sound of Silence (Electric Version) SME ... https://www.youtube.com/watch?v=5pYh1rFnNZs
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