Python: Real Time Object Detection (Image, Webcam, Video files) with Yolov3 and OpenCV

TABLE OF CONTENT
Introduction 00:00:36
How to install YOLOv3 00:03:50
Python Programme 00:06:43

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[rightOrWrongMyContry]

Didn't work with video until i added "if len(indexes)>0:" before "for i in indexes.flatten():".

[TheBontenbal]

Very nice! Works really well, thank you.

[MrModifyman]

Thank you for this tutorial, this was exactly what I was looking for. Helped me a ton! :D

[sauravchaudhary]

It worked for me, Thanks for your content. Appreciate your efforts.

[kwilight]

Thank you so much. Your explanation is very details. Help me a lot. Recommended Channel !!!

[abdulwarissherzad]

Thank you at all great work, Keep continuing, appreciate you.

[timotiusleonardo]

Thank you Master class academy for the video, it really helps my Final Project... will be waiting for another tutorial

[GodMouthPiece]

Thanks very much for this tutorial it save me from failing my continuous Assessment. The expalnations were so clear and the codes were correct. Writing from Cameroon

[Asmelash]

Great video, great explaniation just perfect.

[subhashishbagchi]

Thanks a lot of this video because it help me a lot with the project in my college

[Pankaj-zlsv]

thank you soo much sir very good explaination love to seee whole implementation very nicely explained

[coenbushwool]

Thank you for creating this nice video!

[shubhampawar]

Great job brother.Thanks a lot
It helped me for making my first project ❤❤🎉

[pavancheyutha]

Thank you very much Your video helped me very much in my work.

[naveedbhuiyan]

What an amazing video....very descriptive and useful
cant seem to make it work with the webcam though

[Unreality_D]

Hi, I am getting the error "for i in indexes.flatten():
AttributeError: 'tuple' object has no attribute 'flatten'" even though i have added the code as suggested.

if len(indexes)>0:
for i in indexes.flatten():
x, y, w, h = boxes[i]
label = str(classes[class_ids[i]])
confidence = str(round(confidence[i], 2))
colour = colors[i]
cv2.rectangle(img, (x, y), (x+w, y+h), color, 2)
cv2.putText(img, label + " " + confidence, (x, y+20), font, 2, (255, 255, 255), 2)

[twinblade]

Question: How would one go about evaluating detections using IoU?

[arnabsaha]

Thank you for the video sir! If I want to run the video detection program in pyqt5 UI then How can I display the video in Pyqt5 label?
And also how can I show a counter of a particular object in the UI?

[ibrahimkaiser]

Thank you for this tutorial. I've learned a lot from this video. I want to implement deep SORT with it. If you've any tutorial or information regarding this, please let me know. I wish you good luck!

[AtenTetsu]

hi, first of all thank you so much for this video tutorial. I want to know, can this code apply to raspberry pi board and add measurement distancing system? Thank you.