Latest Pose Estimation Realtime (24 FPS) using CPU | Computer Vision | OpenCV Python

In this tutorial, we will learn Pose Estimation. We will detect 33 different landmarks within a human body and all of this will be done in real-time. That's right more than 24 fps. We will first look into the basic code required to run and then create a module out of this so that we don't have to write the code again and again for different projects.

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[andrespereira]

Murtaza, OMG I am almost speechles with every video posted of yours. You are bringing HUGE aid steps for every developer of tomorrow. Thanks to you and have a great day!!!

[Shizuko-Zen]

It's a crime that your channel has less than 1M subs. Absolutely amazing stuff! As a CS student, content like this really helps me put what I have learned into some practice (or al least gain some perspectives).

[harshmirdhwal]

0:20 a module out of it!! I've listened it like 10 times, is your intro a rap or song, Awsm man! please keep making these kinds of video and never stop

[fabulousfox]

This vid makes motion capture without spending money finally possible!

[TheSpurious]

Hey, thanks for not shoving everything into a jupyter notebook. Using real files has always been the best way to learn for me.

[PunxTV]

the best channel in programming right now, i mean yes cause he's using latest tech as guide and I learn a lot

[mohammedyaheyawaleed]

hi first of all I want to thank you murtaza for your efforts
and the thing I want to tell is this
In the def
upBody=False is giving an error so I checked and now we have to use model=1
and in place of self.upBody = upBody we have to write self.model = model
Here's the new code:

class poseDetector():
def __init__(self, mode=False, model=1, smooth=True, detectionCon=0.5, trackCon=0.5):
self.mode = mode
self.model = model
self.smooth = smooth
self.detectionCon = detectionCon
self.trackCon = trackCon

self.mpDraw = mp.solutions.drawing_utils
self.mpPose = mp.solutions.pose
self.pose = self.mpPose.Pose(self.mode, self.model, self.smooth,
self.detectionCon, self.trackCon)

it took me 30mins to solve this because I am a beginner.
Others may also get this error
So, I thought to share it with you

[jsims]

Excellent video as always. Sir Murtaza is my hero and a world reference in OpenCV, he deserves a Nobel Prize

[nuca]

Thank you so much! You don't realise how much you've helped everyone on here... nothing like this on youtube.

[chisomokwor]

Thank you for making this amazing video! You're a lifesaver. I'm doing a Computer Vision senior project, and your channel has literally been the most helpful! Keep being amazing

[edSabio]

Murtaza, Thanks for making a complex subject so easy to understand, a mark of a great teacher!

[antonykathage]

This is honestly something I've been trying to work on for a while now. And you've just shown me how! I found your channel on the hand tracking video and absolutely loved it and integrated it with an existing project of mine. Thank you so much!!

[grgkaralis]

Great content. In clear steps. Writing the code following pep8, explaining each function of the module in use, refactoring afterwards, providing accurate info about oop.
Flawless

[vaibhavrajnathchauhan]

Sir your videos are gems, must needed tutorials in lockdown

[michellebaltazar]

Hello I just want to say that you've been very helpful in my projects and research work. Coming from a little programming background, your tutorials helps a lot. Thank you so much!

[engenglish]

Upvoted for this work. However, I have a question : can you detect two persons in the same video ?

[Kishi]

Good lecturer and keep it up for people like but kindly include the video you used to demonstration in your program, so that we can test it with it as well

[geraldmusandirire]

Best pose estimation explanation and implementation video on the internet. Had been trying to understand this for some time and you explained it well

[manishdhal]

You're a Legend living among mortals!
Keep the good content up!!!

[mayanksingh]

Thank you God. I found your channel. Thank God. I want to learn opencv and them work for Tesla when they come in India.
Sir please tell me do you teach on Udemy also?