YOLOv3 Object Detection with Darknet for Windows/Linux | Install and Run with GPU and OPENCV

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Learn how to get YOLOv3 up and running on your local machine with Darknet and how to compile it with GPU and OPENCV enabled! By the end of this video you will be able to run your own real-time YOLOv3 detections on images and videos!

#yolov3 #darknet #objectdetection

In this video I cover:
1. How to tell if you have a GPU on your machine.
2. How to properly install darknet for both Linux and Windows
3. Running YOLOv3 object detection on images and videos.

If you enjoyed the video, toss it a like! 👍

Thanks so much for watching!
- The AI Guy
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Let me know if you have any issues or would like to see more YOLOv3 videos!

TheAIGuy
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You explained this really well, thank you!

kida
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Usually people save the day but you saved a month bro. Thanks.!

sigmarulesog
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Great help for YOLO beginners, thanks man!

x
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Thank you so much for the video!! It was very helpful!!

creekw
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It's Finally work but without Cuda GPU ( I spent one week struggle with installing darknet, after that I set CUDA to 0) and Magic it works ! Thank you for this tuto !

sarahch
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Thanks @The AI Guy for the video. I have a question: how can i use yolov3 for custom object using my web cam?

andresacosta
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Thanks a lot!!! After a week of struggle, I finally made it with your video. Hope best for your channel

ogedaykhan
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Thank you AI Guy, it helped me a lot. It worked fine for yolov4 too with minor changes. I had only one issue: pthreadVC2.dll missing.
Copy darklib.dll and uselib.exe from darknet/Release folder to the darknet/ root folder and also copy pthreadGC2.dll and pthreadVC2.dll from folder to the darknet/ root folder.

calitosmenem
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Hey Great tutorial! Just one question, I got everything to work, the only issue is that my image processing is saying it's taking 600 milliseconds to process images, even though i have the exact same GPU as you in the video (GTX 1650). I would like it to be as low as you show in the video, is there anything I can do to fix this?

laxpors
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please do a guide about cmake. got error when building. "configuration incomplete"

lowqchannel
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Hi, I have a question... At 15:07 in C/C++, Additional Include Directories you have included every folder "include" in as default I havent't already included them, do I have to include them all? Thanks

davidecarone
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if I install cuda and opencv those kinds of stuff in anaconda environment, what should I do to let my Cmake detect them

shawnlee
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Hi, great explanation. Can I write my own logic for example a little program in python which will send image to darknet detection and count people in it ? Or is it just used to run like exe file.

neviomarjanovic
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Hi, Appreciate your effort in putting together these great videos on YOLOv3. Need guidance from you. Can you please let me know in what order it would be helpful to watch the Videos related to YOLO?

RS-vuum
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great work. and i enjoyed the tutorial. i am facing issues of "not an option: darknet" can you please help

daynialkhan
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I am having AMD Raedon r4 so, I cant use Cuda while building. Is it possible to use OpenCL instead to accelerate and make things faster?

palanikumar
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for the nvidia driver, I think you can now just do 'conda install -c anaconda tensorflow-gpu' and it will automatically determine the necessary CUDA and cuDNN packages you need to install. Correct me if i'm wrong though, I don't want to give anyone bad advice

lucasb
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Can I just install dark net without cuda and open CV? For example if I wanted to use dark trace just to be able to create a data set that I created using the your lblImg video? I’ve watched your recent video with using yolo in a conda environment and got that working so I just need to know how to create a custom data set now without having to install opencv and cuda as I’ve been getting slot of problems :/. Thanks!!

sysadmin
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I had a CUDA NOT FOUND issue while building in cmake: Installing CUDA one more time (after Visual Studio) solved it.

🙃 Thank you for all the effort!

johanneszwilling