YOLOv4 Object Detection 30 FPS in 7 Minutes | OpenCV Python | Computer Vision (2021)

Want to Learn YOLOv7 and solve real-world problems?
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So I am going to show you how to implement YOLOv4 in under 7 minutes on both CPU and GPU. This is going to be the easiest native installation of YOLOv4 that you have ever encountered on this planet! So get ready!

⭐Download the Code at the AI Vision Store -

⭐FREE YOLO-R Course -

So a year ago, I uploaded my YoloV4 Object Detection installation video, and since then a lot of people have been struggling with the installation of Darknet, deciding which CUDA and CuDNN libraries to use, building OpenCV, copying this .dll file from here to here, Inputting Environmental variables AAHHHHH...

And then I get comments saying, I dont have a GPU, can I still implement or can I use this on my intel Graphics card... [Straight face]The answer is still No... But hold up for just a sec. I think I have a solution for everyone. Not only will this be the easiest native installation of Yolov4 that you have ever encountered on this planet. But you will be also able to run this on CPU [presenting part- Put a picture of CPU]- now you obviously will get a lower frame rate on CPU than GPU, but at least you can start playing with YOLOv4 at the soonest. I swear this process so simple that even my puppy can install Yolov4.

Okay so lets get straight into the installation, but before we do watch till the end because I will be giving discount coupons to my full yolov4 course and if you want further discounts to my courses then subscribe with that bell icon and and comment down below. I will personally respond to you.

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#opencv #python #computervision

0:00 How Frustrating YOLOv4 was to Install
0:52 Bonus
1:08 The Quick and Easy Way to Install YOLOv4
2:17 Step 1 - Clone Repo
3:40 Step 2 - Create Conda Environment
4:42 Step 3 - Download the Weights
5:10 Step 4 - Convert Weights to TensorFlow
5:35 Step 5 - Run YOLOv4 on WebCam
6:49 How to Train YOLOv4 - Going Forward

[Alvin_and_Benson]

Thank you for your hard work. Your subtitles make me very happy. If you type all the words yourself, I will give you a lot of respect.

[yashgupta]

Great channel, I myself did research on many CV Algorithms like Object Detection, Object Tracking and Human Activity Recognition. This channel shows have great video on how to implement them, which makes many researchers life easier.

[themarioteam]

Great video! I am currently using yolov4 to make a raspberry pi robot have object detection. I am feeding the video to my computer and I was wondering how I can use that video feed with yolov4 on my system. The raspberry pi has a camera on it and I am having the video come in through my laptop for processing. Another question. I am running yolo just fine, but for some reason it's running at 2FPS, but I have it setup through my GPU which is CUDA supported. I am running the gpu environment and everything. Could you possibly have a solution for this? Many thanks!

[NaqqashDilshad]

keep it up brother, because of your work and efforts I was able to perform some necessary

[abishekm]

Hi
I’m getting an error as “No matching distribution found for tensorflow-gpu=2.3.0cr0”.
While creating the gpu environment
How to resolve it ?

[andyberaharison]

Hi, mine runs with no error but I don't detect anything, can someone help me? Thanks

[mervepolat]

I get " No matching distribution found for tensorflow==2.3.0rc0" and "pip failed" errors when i enter command " env create -f conda-cpu.yml". What sould i do next?

[nawisam]

I have done following the previous video of VOLOv4 and this video using the same demo video, but the results are different, one got fps around 1, one got fps around 9. I'm not sure how different between these two? I have checked on the source code like, batch size, epoch, threshold, but still get confused, could you please help to answer why?

[mervepolat]

when i write "cd yolov4-custom-functions", it says the system can not find the path even though i install anaconda. What should i do?

[sadeqsedqi]

Delete your previous video to installation yolov4
We had a headache with that 🤷‍♂️
but this video is awesome simple way to use yolov4 👍👌
please give a video to set yolov4 or tiny yolo on raspberry pi 💕
Thanks so much you are awesome 👏

[jaykay]

i had a problem in converting weights it shows error (5:10) help me out pls

[Hyperion]

This video made me realize why my bachelor's thesis wasnt working, i dindt activate the GPU lol

[johnarvichizon]

I'm using a built-in camera in laptop, when I type the last code for detecting object, the camera window won't open. What seems to be the problem? Thank you for your reply.

[hiksms]

You "forgot" to specify that to acess repo you have to pay. Now i´m even willing to, but the login page and youtube subscription are not clear in terms of what i´ll have acess to. Please make a video about that thank you

[delondjimenez]

Hi, im working on a fish object detector using Darknet and YOLO v4, ive already trained weights on custom dataset. is it posible to use this code for the creation of GUI?

[nemeziz_prime]

Hey, great tutorial, and thanks for making it so easy for windows users to install and use! You have literally completed 95% of the job for us!
I have a question tho:
Your instructions say that we create a conda virtual environment for this project and then do the necessary installations and run the code from that environment itself. Now, I plan on making a GUI based executable for object detection. I am going to use pyinstaller to package the main source code and its supporting files and dependencies into an executable. Now, my question is, can I do this if my source code and dependencies are part of a virtual environment?

[omarabubakr]

hello, do you have a course that explain yolov4 from scratch?

[jumanithinkverse]

hello sir i want to know is YoloV4 model is for human emotion detection? and can we implement on human emotions datasets ? if yes than how

[danielspeady]

Hello! Is there an option to count objects with Yolov4? I mean, counting the total of objects during the video. Cheers!

[shrikrushnasonawane]

hii..i am having problem in second step( how to create environment) could you help me