YOLO v3 EASY METHOD | OpenCV Python p.4

This is the final part of the Yolo v3 implementation. So far we set up our network and feed it the webcam image. Now we will learn how to use the output of the network to display the bounding boxes and to classify our objects.

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[vighneshnkp]

This was lovely. This kind of work is no walk in the park but you've explained it in a way that makes it very easy to understand and follow. Thanks so much, looking forward to more.

[kamalmishra]

The best video and easy method on yolo detection i have ever upload more murtaza.This has been really helpful for me.

[kotai]

The best explanation on Yolo v3 ever !

[tusharpatil]

Hi, I really like the you also provide a video tutorial on how to train it on custom data please?

[dtawnaal]

you saved my assignment, thank you so much!

[arkadiuszrydzewski]

You are better than Udemy training :)
One thing I'd love to see is how to teach this YOLO model with my own data.
For example with traffic signs - when you drive a car you see more than one sign at the time.
Could you please create such a video ?

[FindMultiBagger]

Thanks, looking for GPU + SPEED
Thank you for honest efforts and time :)

Subscribed ♥️

[adisingh]

very well explained. loved your series!

[TauheedKhanMohd]

Write for loop like this:

for i in indices:
print("i=", i)
#i = i[0]
print("i=", i)
box = bbox[i]
print("bbox[i]", bbox[i])
x, y, w, h = box[0], box[1], box[2], box[3]
cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 255), 2)

[deltaelectrocode]

All the videos are great. Thank you sir, for sharing these knowledge with us.
It would be very kind to me, if you make a video on the same thing for custom images.

[yasinyuksel]

perfect video series, thank you for all of that :)

[Brakkamm]

very clear, very usefull, thanks from France

[willmcgowan]

Loving your videos mate! They are helping work through a lot of things and I'm learning heaps.

Do you have any videos that go over how to detect objects in a 'busy' environment instead of a plain background?

Thanks!

[crz]

Hello.Although i can run yolov4 on videos on windows 10 terminal using darknet.exe and the running time implies that it is running on GPU, when i m running the .py file in pycharm using CUDA as backend i take this error :
DNN module was not built with CUDA backend
and it runs on CPU instead.Could somebody help me?

[humoruniverse]

I wrote everything that u wrote but it did not work properly on my computer, is that problem because of my gpu?

[ilkeraykut]

Thanks for the video.I wanna detect transistor, resistor and Mosfet.What am I supposed to do it?

[saurabhjoshi]

Sir can you plz tell me what or which values hold by indeces variable....

[meteserce]

Hello Murtaza . What code should we add for gpu?


this correct.

[drprabu]

Can we detect other objects other than the 80 classes listed?

[shareefqd]

Great tutorial
How can I run the code using the GPU instead of the CPU ?