Pose Estimation with the Fastest Python Deep Learning Model | MoveNet Lightning

MoveNet Lightning is hella fast and great for fitness applications. In this vid, you'll learn how to use it!

In this video you'll learn how to:
1. Instal MoveNet for Python
2. Load MoveNet using TFLite
3. Rendering Pose Estimation results from scratch
4. Perform real time pose estimation using OpenCV

Get the code:

Links

Chapters
0:00 - Start
0:17 - Introduction
0:46 - Gameplan
1:21 - How it Works
2:11 - Tutorial
3:36 - 0. Install and Import Dependencies
6:42 - 1. Load TFLite Model
12:31 - 2. Make Pose Detections
28:29 - 3. Draw Keypoints
36:57 - 4. Draw Connections
50:36 - Wrap Up

Oh, and don't forget to connect with me!

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!

[birdropping]

Your tutorials are incredible. Thank you for making this information so easily available!

[DrShaikAhmad]

All of your tutorials are really awesome. I like the way you present and the flow.

[satoshinakamoto]

this is my 6th Renotte Tutorial. I hope to go thru all your amazing tutorials! :D

[zhanezar]

I wish all tutorials would use your format, it so obvious and user friendly to structure things

[TejrajParab]

I love the fact that you upload regularly so much.

[mdshahbaz]

I see your video regularly. Although i am not following your code as right now i m not working on building models and python. But you are rocking and working so hard. Your video worths a lot. Still love to see your captions.

[moses]

The BEST and right on the cutting edge!

[dpffktf]

your video is very good influence for my study thank you!!!!

[raziehshahsavar]

It was amazing, I used this and changed my code with input frames to another target and I want to give the input coordinates with 32 joints

[outofthebots]

Thanks a lot that is super useful for running on the edge

[Progg]

That's exactly what I meant with showing examples of the result before starting the tutorial. Helps a ton understanding what I'm going to learn before watching the whole video.

Do you have any plans on creating a tutorial for recommender systems? For example YouTube recommending videos to me that I could watch. Keep up the good work! :)

[PUBUDUCG]

Great stuff . . .!, I can not keep up with all tutorials from you . . . :)

[blankensmithing]

Hey, great tutorial! It looks like even though you install tensorflow-gpu it's still running on the CPU since it's using TFLight. Things run fairly fast w/ lightning, but I'm wondering if you know of any way to actually get this model running on the GPU to speed things up?

[chenvinh]

Every AI tutorial presented in your channel is well elaborated. I really appreciated that. Folks who watch your AI tutorials, should obviously give you a LIKE and SUBSCRIBE. By the way, I am wondering whether you will launch a full course of Data Science on your channel along with AI lessons on the horizon.

[pradhansomu]

Can you please suggest me how to create a custom dataset for pose estimation and which architecture is best to train pose estimation model.

[Mrdarkcloud]

Nicholas, Thanks for the well explained tutorial. You did mentioned that it is accurate for a relatively close distance. To make the plotting of the coordinate more accurate, you can crop the frame to an aspect ratio 1:1 before you send it to the interpreter. For example I have 640x480 webcam. I crop the image to 480x480. It seem to be more accurate, but you lose 80p on each side of the frame.
Code I used:
width =
height =

print(width, height)

cropTopX = int((width - height) / 2)
cropBotX = int(width - cropTopX)
roi = [(cropTopX, 0), (cropBotX, height)]

cutout = frame[roi[0][1]:roi[1][1], roi[0][0]:roi[1][0], :]

Use cutout to send to the interpreter for processing

[sagara]

Wooah, exactly wt i wanted thanks man

[aseemmangla]

Hi, first of all, this was a really wonderful workshop, thanks!! Can you also send some references regarding movenet model in tensorflowjs?

[raziehshahsavar]

thank you for the tutorial, i have a problem, may you help me? i want to movenet plot skeleton based on my joint's coordinate, and i want to modify output-tensor and location of key point. may you please help me?

[zaidahmed]

Can you extract the x, y, z coordinates of a certain keypoint using this particular algorithm ??? is it possible?