Official YOLO v7 COMPLETE Object Detection Tutorial | Windows & Linux

YOLO v7 object detection tutorial for Windows and Linux. This is a complete tutorial and covers all variations of the YOLO v7 object detector. YOLO v7 has just been released and exhibits a performance and speed boost over its predecessors. This tutorial is focused on running pre-trained YOLO v7 models (all seven variants).

YOLO v7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.8% AP among all known real-time object detectors with 30 FPS or higher on GPU V100.

** Code is available for our Patreon Supporters**
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► Time Stamps:
Introduction: (0:00)
Download YOLOv7 Repository: (0:35)
Setting up Environment: (1:15)
Run YOLOv7: (5:09)
Change Font and BBOX size: (7:25)
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► Links:
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► Commands:
(For saving the result on hard drive)

(For showing the results in real-time)

(For creating a virtual environment in native python)
python -m venv name_of_virtualenv
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Want to discuss more?

#TheCodingBug
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► My Other Tutorials:

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DISCLAIMER: Links included in this description might be affiliate links. If you purchase a product or service with the links that I provide I may receive a small commission. There is no additional charge to you!

[anishantony]

successfully run everything but saved images and videos don't have any bounding boxes and confidence.
can you help me with this?

[Wingly]

straight to the point, thanks for the video!

[shubhamsongire]

Thank you sir it helped me alot to learn latest yolo v7 model

[yfvlrpu]

Thank you very mush! Very helpful video! I want to share with the auditory a couple things: firstly: instead of downloading you can you git clone command. It will save lots of time: you won't need to extract and copy files. And secondly, сould you add the used pictures and videos in the description, please.

[ShlomoOrna]

Very helpful video. Thank you. Could you add some explanation on how to run YOLOv7 POSE Estimation ? In a response or does it need a separate video ?

[aashishmalhotra]

discovered your channel today, and so far content is good. what to expect in future. Will we be doing any projects in yolo?

[jeronimoalester]

Good afternoon. I was wondering if it's possible to get the coordinates of bounding boxes from yolo v 7 test/detection?

[ucduyvo]

Thank you so much, but I have problem with the time when running the stream rtsp link, it just maintains a short time, about 3-5 minutes and then no signal, show black screen, how can I solve this problem to increase the time streaming, maintain about 1 day, 1 month, ...

[xinbert]

Thanks you help me to install yolov7 and let me know where is the result route <3 ❤

[naveenpaliwal]

Thanks for the video ! It helps a lot. How we can convert entire project in exe file

[fatguyinalittlevive]

Thanks for the easy to follow tutorial! Do you have a tutorial for training your own YOLO v7 model?

[miloszivkovic]

Very easy and I made it. But my cpu was dying 😂, i followed evry step and is it possible that yolo is still using my CPU?

[brunospfc]

Great video, this channel helped me with easy instructions :D, would you do it on custom dataset? thanks

[tokamohsen]

I tried to run it on many images but the run folder gets empty folders and no images produced

[RSF]

Thanks for the useful tutorial. But it cant run and giving me this error FileNotFoundError: [WinError 2] The system cannot find the file specified: 'runs\\detect\\exp2'
can you help mee ?

[gxwvzwm]

how to calculate precision and recall in this project

[abrarluvrabit]

Hello Sir thanks for the awesome video, from where i can get this street2.mp4 video file?

[serious-rc]

I get PackagesNotFoundError: The following packages are not available from current channels:

- pyhton=3.9

[opensourcethings]

I want .cfg file and .weights file so that i use it in my python open cv code. is it possible ??

[GuilhermePiresSilvadeAlmeida]

Hello. Congratulations on the video. I couldn't find the images and videos you used in the example. Could you tell me how to get it? Thank you for your attention. Thanks!