AI Learns to Do Deadlifts
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- čas přidán 13. 09. 2024
- I built a deadlift bot using AI.
Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
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Join the Discussion on Discord: bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
Hi! Thanks so much for this video, If you could make a video on explaining this code line by line, it would be really helpful. Thanks again!
Please make a full length coding tutorial on how you build this. Please man this looks so amazing 👏 😍
Nick, your vids inspire me to learn AI and do projects; inspiring someone to do math isn't easy. Keep these coming and you're golden
Great video! An in-depth tutorial on this where you cover each part would be appreciated.
Your videos are amazingly engaging and one can learn a lot from them, they are also very underrated I hope everyone recognizes your vids and have a chance to learn from you. Thanks a lot, keep up the good work!
It's only a matter of time before he's a dominate youtuber. He puts in the work and it shows.
Hello Nicholas, This videos is inspired me a lot. I look forward to learning this lesson. I hope you will share this lesson soon. Thank you very much.
Hey Nicholas, thank you so much for making these videos. I work at a company which does fit AI and these help alot. Could you do a video where you're doing signal processing for finding out the errors done during an exercise? That's the solution to most of the dynamic exercises and I am struggling with it a little bit. It'll help out alot. Cheers man. Great work! 👍🏻
Might actually do a full tutorial on how I built this if there’s enough interest!
@@NicholasRenotte that'll be great man. Would help out alot actually! Or if you could share the python scripts you used to build this, that would be great too!
@@NicholasRenotte thatwill be amazing
@@NicholasRenotte yeah that would be great :) but it seems as though your area of interest have changed a bit. still would make great educational content.
Impressive idea and brilliant video. Nicholas I do believe you inspire many great followers. Good luck!
Thanks so much Markus!
loved this one :) came back to your channel cus i was working on something i knew you mentioned something about it in some earlier vid found byself bingewatching :) well guess i have to digging up my pi again and build this now thanks
Awesome stuff! I'm definitely going to be looking into some more hardware/device focused projects soon!
@@NicholasRenotte I'm all for that can't wait 😁👍
After watching all of the videos in your channel, I am able to make my own AI trainer that has a lot of functions like being able to speak, send performance via email, help us to see whether your body is correct when doing exercise etc. many thanks to u! One of my biggest inspiration to study CS at University!
That’s awesome man!! Figured I’d give it a bit of a crack myself, probs wouldn’t use the raspberry Pi next time but some awesome applications for ML!
Hey Andrew, could you please share the code to your AI trainer. I am working on something similar and it'll help out alot to see what you've done and correct my mistakes.
@@prajwalathreya5953 Sure, leave your email here. I will upload on github, then let you know.
@ I'm trying to but CZcams keeps deleting my comment. Is there any other way I can share my email Id with you?
@@prajwalathreya5953 you can add your infor on - About section - in your own CZcams page.
So sick. Nice work Nicholas! This is such a great idea.
Tracking form (& correct form) can be used in so many applications. Can you do this again for basketball shots? Golf swings?
Hi loved the video can you please make a full tutorial on this especially how you cleaned the data and improved the accuracy.👍
Also how you made the suggestions and rep counter part please 🙏
Thanks Nicholas for this video, I am currently working on my master thesis which is something like this. It's nice to see you doing it too, it gives me some new interesting ideas and knowledge! Thanks again and keep it up!
While watching I was wondering, did you pass the raw joints' point positions to the ML algorithm or did you do any sort of feature engineering and pass those features to the ML algorithm?
Great question, I didn't end up doing any FE but that was my next step if I was going to take this further. I definitely think providing features with relative distances e.g. x1-x7 would help a ton when analysing specific movements. I'm going to share the full code this weekend so you can take a look!
@@NicholasRenotte Sure, I will be waiting for it! Thanks Nic!
@@NicholasRenotte Hello everyone! Can I give the full code? Im trying to do something similar to my final degree proyect!
@@daniibooms Hi, did you ever get the full code? I am so intersted in how he did all of this :O Also in regards to the training of the model
man this is amazing! love your content
Thanks a mil!! 🙏
Loving your videos done with siamese network project it was a great one waiting for more video like this that explains everything in detail...🔥💯
Ya might turn this into a mega tutorial if you want to learn how to build it up!
Hi Nicholas, I don’t believe that you put the code for the model in the description
Hi Nicholas ,ur videos helped me a lot ...ur series of object detection videos are one of reason to crack 5 offers in my hand now.If possible can u please made series of videos on MLops and AIops and deployment strategies because I am not able to get perfect path to learn this skill set.
Awesome work mohan! Will be doing something on deployment soon!
@@NicholasRenotte thank you ,soo much Nicholas Renotte
Amazing. Maybe for SwoleBoi 2.0 you can capture sideview and warn if the lifter is hyperextending his or her back, or lift with rounded back
Great video! Would you mind sharing the GitHub repo of this, if there is one? Thank u so much
We waiting for video and it’s worth it 👍🏼
Is there anyway you could do an in depth tutorial on this? Or at least how you were able to get MediaPipe working on your raspberry pi? I've been having trouble getting MediaPipe to work as "pip install mediapipe" won't work. *Please help if you see this.* Also thanks so much, I've been learning so much from your videos!!
amazing & outstanding
keep that way👏🏼
Hi Nick, I’m new to your channel and I appreciate the videos you bring to us they are interesting informative and teach new innovative ways to learn new projects.
I do have a request which is to consider making a 30-45 minute python crash course that covers the basics of python programming/or basics to get us started making projects in python etc
Hi Nicholas...
Amazing job!! Thanks for sharing...
By the way, why don't you try out this implementation using the Nvidia Jetson Nano? It's a little bit expensive but has more performance and it's becoming more popular between the makers that use edge AI.
See ya!
I wish I’d bought one for this, would’ve been the perfect application! The UI and models run at light speed on the dl rig, will probs get a nano to test this week!
were thinking the same!!
@@NicholasRenotte great idea! i was thinking same direction to try Nvidia Jetson Nano or Google Coral Dev Board. Alternatively trying to enhance RaspberryPi with Intel Movidius stick. Please share a vid if you try one of those. Anyway, kudos for a great work man! cheers
So useful. You're so creative.Can you explain the last section please?
Thanks for the video! Could you please share the code.
Nick, I cannot thank you enough for sharing your priceless knowledge! On video descriptions of your previous videos, you said that people who need some help for their course, startup, or business can get some help out of your video and you opened up your codes. So you allow the viewers to use your codes/materials? I also would like to use some of your materials for my school project. Of course I will be referring to your video/sources and clearly mention it on the reference page, but is there any proper way you want us to cite your materials?
Definitely go for it, just make sure you reference the code used so you don't get in trouble with school or follow their guidelines. I'm cool with you leveraging the code! I'm going to be sharing the source for this, this weekend!
@@NicholasRenotte Thank you so much for your reply. Your works are wonderful, but your bright personality and fantastic teaching skills made them way easier for a beginner like me to understand. I appreciate it.
Now that is one hell of a way to squeeze the life out of a Raspberry Pi. Nice one Nicholas
😂 yeah swoleboi3000 is taking a permanent break now.
Your explanation is good brother ML
Hi nick, I am from India, I love the way you Write the codes, thanks for the wonderful tutorials ❤😊
Excellent.. Thanks Nicholas..can you please extend this to detect deadlifts for multiple person in a video..I think you need to have one for action detection in a video having more than one person.
Hi thanks for such good videos ,can u give a detailed explanation on the model used for the form analysis.
it's really very helpful video for my project. if possible could you make video how to train the model, annotate and clear the data and load to the model.
Awesome!!! We need a part two where you work on adding some of those enhancements you mentioned. Maybe supporting multiple exercises etc.
Also you mentioned you did a lot of cleaning up with the data that helped improve the model. What exactly did that process look like? Do you have another video on that?
I’m thinking I’ll actually do a big tutorial on it if people want to give it a crack. For data cleaning I tightened up the way I labelled so I would only export coordinates at the absolute top and absolute bottom of the pose.
Hey Nicholas, this is Firee🔥🔥🔥
MY GUY DANIELLLL, thanks man!
Hey, I really want to build a similar app as a personal project. Can you provide some insight into the parts you didnt cover in the video, like how did you clean up your data to make the predictions acurate ?
could u lease drop the code and steps for this amazing project it would be so much helpful i am a university student and i am working on a similar project
Hey Nicholas I lived your video please give detail tutorial on how to import code in raspberry Pi please please
You got it! Will be working on the full tute this w/e
This is a incredible video....still funny how you forgot to account for extra space between the screen and raspberry pi😅🤣
Hahahaha I used a precision calliper to measure as well 😂 when I put it together I had a good laugh then a little cry 🥲
🤣🤣
I enjoyed the whole development. May I ask the model/specs of Raspberry Pi you used? Thanks a lot.
Nicho,I am a big fan of you!And i got some inspirations from your road of becoming a data scientist that i also wanna record videos when i finish learing a project by myself.Could you give me some guidance on basic preparations and knowledge before recording a video?
Definitely, get a decent mic and an external webcam, record in good lighting and use OBS to record! I use Final Cut Pro X to edit!
Hi sir Thank your for the tutorial
Can you please Share the code or let me know from where and how Did you get the coordinate data
This channel is more value able than my college
Could you please explain how you made the rep counter? It would be very helpful if you could share the code please or make an in-depth tutorial of this. Thanks for the video!
This is pretty cool, I must say! Great job will be an understatement here.
Btw II was going through the audio classification video of yours and decided to implement the same idea onto the Urbansound8k dataset but there is something about some of the files that are giving an error that only gives me an integer and doesn't explain what could be wrong. Any idea on what could have gone wrong or what can I do to fix this??
Thanks a lot for this kind of video , can you share the code and create a full video step by step . it will be very helpful for us.
Please teach us regarding GUI design as well in the future.
hi nick. I'm curious how you optimize the model? to get the result better, did you delete the key point that are not necessary or you do something else?
Awesome video. Easy to understand for beginners like myself! I am currently doing a university project about this, so I was woundering if it's possible to get access to the code? :)
Once again, thanks for the video.
Yup, will get it coming!
Great video! Thanks a lot
Think Fusion 360 would've been easier for the designing the case.
Can we add audio feedback along with the textual one? If that's possible, may you guide us on how to do it?
Great tutorial! I have question.
Could you share how labels are consist of? There are columns named x1, y1, z1, v1. I think x,y,z is the coordinate of every joint but i have no idea about 'v'.
Thanks!
Thanks for this video, you are a genius
where is the code?
Epic new video type moment
Wow wow...I have always wanted to do an app to count push us reps!
Hello Nicholas, would there be any source from where to learn or get any insights on how to build other models for other types of movements?
I'm trying to do something similiar for my master's thesis, was using the data from just yourself enough to train the secondary classification model?
Thanks Nicholas for this video, I am currently working on my thesis which is something like this. It's nice to see you doing it too, it gives me some new interesting ideas and knowledge! Kindly share me the code..
Hi Nicholas can you please do it for supporting multiple excercises detection at a time
Any chance you could link the original video where you coded the deadlift program? I've looked and am unable to find it. Thank you in advance!
You mentioned that you would drop the code down below in the description but i can't seem to find it
Do one for climbing
I enjoyed this video so much.
Pardon? What is the tool that you are using for labeling the skeleton data?
Great work. Can i get that code?
hi nicholas, i followed your videos and was able to detect handwriting and display their labels above the box. however, im stuck on trying to order the boxes from left to right and then top to bottom. any idea or suggestions on how to proceed? Any help would be much appreciated. Thanks!
Use the top right most coordinate and order from there. So look for the smallest x and y value then iterate based on growing x then by growing y (depending which way your y axis is ordered)
Hi Nick, where can I get the code of this app. I don't see it in your github. I really need it. Thanks.
Could you share the annotation tool used to label the skeleton
can i get the code buddy?
Coming soon @Abhishek!
Enjoying your videos and your tutorials!! I would like to try the same for other workouts too but it's a lot of work to get the data, pre process it and then train the model for each workout. 😵💫
Amazing but i Really need the full tutorial
How you do to extract, I saw a function extract_landmark can you share this function, thank a lot
How do u intergrate this to hardware
This is really cool.
Hello together, where i can find the working code ?:)
can I train the model using images or video?
Hi what name is the repo on git hub please?
Do you have the code on github?
you are perfect
❤❤ from india nicholas bro you made my day
Hi It's really awesome 🎉
Guess whos back!!
Ayyyyy! Took a little while ik!
I was literally going to do this for a project god dam
SwoleBoii ! :D
AYYYY, we up in here 😂
приложение убивающее поясницы.
the angles are not showing in my feed can you please help me @Nicholas Renotte
Is there anyway you could do an in depth tutorial on this? Or at least how you were able to get MediaPipe working on your raspberry pi? I've been having trouble getting MediaPipe to work as "pip install mediapipe" won't work. *Please help if you see this.* Also thanks so much, I've been learning so much from your videos!!
Yep, will be doing a big tutorial on it!
@@NicholasRenotte awesome! Thanks so much!! Also would be amazing if you could lmk how you were able to get Mediapipe to work. I've been struggling lol