Object Detection using OpenCV | Python | Tutorial for beginners 2020

This video contains a stepwise implementation of python code for object detection based on the OpenCV library.
The following are the list of contents you will find inside the video.

1) basic understanding of object detection and image classification

2) installation of necessary libraries

2) line by line implementation for object detection using OpenCV
a) Single Image
c) Live Webcam

List of labels to download

Configuration file

[NoorainRazaEC]

No one on you tube do this project for biggener level
, but you did in perfect manner Sir
Thank you So much Sir.

[weixinteh]

This is the most selfless video for object detection have every seen! the steps by steps provided clearly and most important WORKING! it is really helpful for a beginner like me. Thanks author!! You save my life!

[SteelersFans]

Fixed the problem with the bounding boxes:

Replace “img” with “frame” in:
cv2.rectangle(img, boxes, (255, 0, 0), 2)
cv2.putText(img, classLabels[ClassInd-1] thickness=1)

Now it should work and display bounding boxes in the video!

Great video! Very helpful!

[Radihed]

I need to put together a script that copies images containing only certain objects. I tried looking for tutorials, but all of them are hellbent on teaching people how to train AI to tell apart dogs and fish. All I needed was to be spoonfed on how to use a pre-made model.
Thank you so much.

[chilukproducoes]

TNice tutorials is exactly what I needed to understand the UI. Great tutorial!

[sudeepgowda]

You explained it very well. You made my day . I am so happy that I had learnt something new.

[madarbakushussain]

The best explained video for object detection I've encountered so far!! Keep it up Bro

[lyndawakoli]

YOU SAVED ME ALOT ON MY FINAL YEAR PROJECT

[mohanbansal]

Nice video, Everything is very clear. Only one doubt, how can we export the frozen inference graph? It would be better if you share the link for the frozen inference graph file. Thanks

[sangeetagarg]

great job, Could you please teach me how a new dataset is labelled and implementation of all the approaches of object detection. As I am new to this area. I liked the way you described.

[nasim]

Thank you very much sir, this was just the perfect introduction t actually implementing computer vision!

[pranavgupta]

Hi, sir I really appreciate your detailed explanation and it's very easy to understand, there is a mismatch in labels and the pre-trained model. It took me some time but while classifying the images the model predicts the label 'fire hydrant' at position 11 and 'stop sign' at position 13, whereas in the labels list the 'stop sign' comes just after the 'fire hydrant'.
How can we solve this problem?

[hackercop]

Have just finished this. Thanks very much for making it. Have liked and subscribed!

[AlexandraGriffin-wn]

For importing a video, I keep getting an error seen below.

error: OpenCV(4.7.0) error: (-215:Assertion failed) !ssize.empty() in function 'resize'

I am not really sure how to fix it and I was hoping somebody might have some insight for me.

[prarthana_bhuyan]

Thanks for teaching such complicated concept in simple words. Kindly guide me if we can integrate hardware like LED etc to such projects after detecting a specific object in real time.

[colsoyeti]

Thank you for the expertly presented tutorial and demonstration.

[mdosama]

I don't find the frozen_inference_graph.pd here in the link after downloading, would you please share

[gursehajsinghmehta]

Sir i cant find that particular stock footage that you used, can you link it here.

[emmajanemackinnonlee]

given it's now 2022, would you suggest a different model that we should use? is this one outdated? or still the same one is good?

[Alpha-hjss]

cv2.imshow('Object Detection Tutorial', frame) I got an error here. Does the quote name should be unique?