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Tech Watt
Ghana
เข้าร่วมเมื่อ 24 พ.ย. 2021
Tech Watt tribe! It's your go-to guy Felix Sam, Let's get our brains together and learn Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Robotics and so much more. Let's make some tech magic happen right now!
AI Bicep Curl Trainer || Master Your Workouts with AI Pose Detection - YOLOV8 Tutorial!
Unlock the full potential of your fitness routine with my latest tutorial on using AI Pose Detection with YOLOV8.
In this video, we guide you through the basics of setting up and using this powerful tool to perfect your form and maximize your results.
Whether you're a fitness enthusiast or a tech-savvy individual, this tutorial is designed to help you seamlessly integrate pose detection into your workouts.
🔍 What You'll Learn:
Introduction to YOLOV8 Pose Detection
Setting up the system.
Tips for optimizing your workouts with AI
Real-time examples and demonstrations.
👍 Don't forget to like, comment, and subscribe for more tech and fitness content!
🔔 Hit the bell icon to stay updated with our latest videos!"
Join Discord: discord.gg/XKpWB89q
Mail: felixsam922@gmail.com.
Instagram: tech_watt
Facebook: share/PhYbQPTasRyYKWSe/?mibextid=LQQJ4d
Twitter (X): x.com/felixsa41013626
LinkedIn: linkedin.com/in/felix-sam-nanor-4599b2204
WhatsApp Community: chat.whatsapp.com/FZR4CoaPObn7eVu0ZZ70R6
Patreon: www.patreon.com/TechWatt
Link to code: github.com/Tech-Watt/Bicep-Curls-Trainer-YOLOV8-
#WorkoutWithAI #posedetection #yolov8 #fitnesstechnology #AIWorkout #exercisetutorial #TechInFitness #AIpose #HealthAndTech #WorkoutTips #fitnessjourney #AIpoweredFitness
#yolov10 #yolov10webcam #ultralytics #computervision #datascience #ml #ailearning
#objectdetection #YOLOv9 #RealTimeDetection #ComputerVision #WebcamDetection #deeplearningtutorial #ai #machinelearning
In this video, we guide you through the basics of setting up and using this powerful tool to perfect your form and maximize your results.
Whether you're a fitness enthusiast or a tech-savvy individual, this tutorial is designed to help you seamlessly integrate pose detection into your workouts.
🔍 What You'll Learn:
Introduction to YOLOV8 Pose Detection
Setting up the system.
Tips for optimizing your workouts with AI
Real-time examples and demonstrations.
👍 Don't forget to like, comment, and subscribe for more tech and fitness content!
🔔 Hit the bell icon to stay updated with our latest videos!"
Join Discord: discord.gg/XKpWB89q
Mail: felixsam922@gmail.com.
Instagram: tech_watt
Facebook: share/PhYbQPTasRyYKWSe/?mibextid=LQQJ4d
Twitter (X): x.com/felixsa41013626
LinkedIn: linkedin.com/in/felix-sam-nanor-4599b2204
WhatsApp Community: chat.whatsapp.com/FZR4CoaPObn7eVu0ZZ70R6
Patreon: www.patreon.com/TechWatt
Link to code: github.com/Tech-Watt/Bicep-Curls-Trainer-YOLOV8-
#WorkoutWithAI #posedetection #yolov8 #fitnesstechnology #AIWorkout #exercisetutorial #TechInFitness #AIpose #HealthAndTech #WorkoutTips #fitnessjourney #AIpoweredFitness
#yolov10 #yolov10webcam #ultralytics #computervision #datascience #ml #ailearning
#objectdetection #YOLOv9 #RealTimeDetection #ComputerVision #WebcamDetection #deeplearningtutorial #ai #machinelearning
มุมมอง: 473
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very beautiful understanding, love from India
Thanks sir
hey GOAT, how to save that image
Can you integrate audio?
please create one video in MIAS dataset for breast cancer detection yolov10
Good day sir . What camera did you used? do you have specification of it? Thanks a lot.
I use a Logitech webcam
Hello still new in this field, I would like to ask if the output of the video is always slower than the actual video? if not, how can I make the output video play the same as how the original video does
Due to the computational power required to run the models, the original video speed is faster than the model speed. If you want more speed you have to use machine with GPU
hello sir, may I ask for the latest best.pt file?, because the best.pt file on your github doesn't contain any contents. so that when used it displays the error message 'EOFError: Ran out of input'
That’s the exact model I trained so just paste the whole error code 🧑💻
@@tech_watt EOFError: Ran out of input
@rizkymahendra3384 install the latest version of ultralytics.
I faced the same issue of no module named torch. In the directory of YOLOV9 there is a file called requirements.txt, this file lists all the required dependencies. use this command in the terminal (pip install -r requirements.txt). this installed everything for me. I faced another issue where it could not find the source. I am using a usb webcam, but had to change my source from 1 to 0 for it to work. Thanks for this amazing and easy tutorial.
Love it 😍 thanks for your explanation. You’ve help me a lot 👍
thanks Felix, im sorry im not really understand English, my question is where the annotation like person, bottle, etc came from? and what the purpose we train birds.png at first?
thanks watt
Please send your full video of yolov9 that you said for detection and tracking for 3 lines of codes Sir
@@Kishi1969 here is it on the channel. Object Tracking Using Byte Track and YOLOV9 th-cam.com/video/jKkmxoSHrkI/w-d-xo.html
hello, please is there a gitlab repo to clone this? I tried run the script and it keeps giving this error " Running cells with 'Python 3.10.0' requires the ipykernel package. Run the following command to install 'ipykernel' into the Python environment. Command: '/usr/local/bin/python3 -m pip install ipykernel -U --user --force-reinstall' "
@@kamsiezeamalu so go ahead and install it
I can't find the 3 lines of for detection and tracking, please provide the code and all library that need to install
Wtf is this brainrot ahh real
What do you think about Florence-2?
Florence-2 is a great model and I will make a video about it soon
@@tech_watt awesome! Would love to see it implemented! Thank you will stay tuned and subbed!
@abdiasj3692 thanks
Openi api is not free
Yes. Sign up with groq and use open source models for free
trying to follow your tutorial and i keep getting the message ModuleNotFoundError: No module named 'langchain_community' , any help with this?
This error means you’ve not installed langchain_ community. So kindly install it.
Well done. But how do you extract a plot of the elbow angle with time?
Hello congratulations, how can I record from the microphone, thank you.
I will make a future tutorial on that thanks
Tutorial for classification custom dataset and with webcam please sir.
very informative tutorial. thanks for the masterclass
Hi Tech Watt, would you please let me know how can I get the files from the folder named seg (in your VS code)? Thanks
That’s a virtual environment I’ve created for installing the libraries
Sir, how we can add voice module in it
What do you mean ? I don’t actually understand
@@tech_watt means if it detects a cup then voice tell us cup
thank you so much!~, can I have another request? I want to learn classifying the object detection in real time. And if it's also possible to create classification of object detection in real time on roboflow and yolo.?
A new project to keep me busy for the weekend. Thanks man.
🔥🔥🔥👍👍
Great one
How to test in webcam for real time?
I will make a video on that soon
@@tech_watt thank you
The video you requested is in kindly share and join the discord server
@@tech_watt where is the link please? The description server of discord is already expired
@dakaradakaradakara699 Video on real-time object detection with YOLOv10 is finally here. th-cam.com/video/NWbtJ_NALm0/w-d-xo.htmlsi=lSqPEjpuDZSi9kei
Please do this with the custom dataset on roboflow ?
Thank you
Where is the fire.pt python code.where can i get it
How is this free if I am using OpenAI Key??? It has limitations.
bro openAI is no longer giving free options. did you found any solutions??
@@siddharthlal4183 I used HuggingFace Embeddings instead of OpenAI.
Hi there! How would I change the code to have SSD detect various things on a video, and not on an image?
SSD model by default can detect all the objects in the coco dataset so incase you have different objects rather than the ones in the coco dataset then you have to fine tune your custom model using SSD pretrained model
Nice project👍
hello thanks for this amazing tutorial🎉 Can you please guide me or make a object detection model with custom dataset with these function 1. vehicle count 2. find traffic - free flowing or congestion like how we can build it
it's really helpful 🎉
it's really helpful 🎉
it's really helpful
it's really helpful
it's really helpful
bro me try, but eror in custom training
What’s the error ?
I want to run inference on an ESP32 Cam, I managed using EDGE IMPULSE but however I was getting low detection accuracy(also tried increasing my dataset, but I'm limited with the number of iterations on the platform), what other techniques can I use on achieving my model to run accurately on an ESP 32 microcontroller.
The models on edge impulse are optimized to run on edge devices. To use models directly on edge devices you have to quantize them so they become compatible with edge devices.
Is this Llama3?? All I see is OpenAI, opposing the Video Title.
So obviously I showed you how to use llama at the beginning of the tutorial but running llama through ollama takes way more time to generate response. And this is the very reason why I used OpenAI.
Great tools and great video
Thanks for your feedback
I am trying to do this as well, but the webcam window that opens is just black, and I don't see the light for my camera turn on. Do you know what the issue might be?
Check the camera index in the code. Start the indexing from 0, 1 and so on to get the right camera to work with
Good job
can you share a collab version of the code. collab version of this code is giving error
sir, it didnt create the runs file?
Runs folder will only be created once the training process is complete
@@tech_watt thank you. First time it didnt create. The second it worked. Thanks for an amazing video. Keep up the good work
While this creates data.yaml file /content/drive/MyDrive/plate/train/imagie /content/drive/MyDrive/plate/valid/imagie /content/drive/MyDrive/plate/test/imagie So we write it like this? So how does it read the label? My data file is like this and it gives an error. This error: WARNING ⚠ no tags found in detection set, metrics cannot be calculated without tags
I solved the problem. The names of the files should have been images and labels, and the patch in the data.yaml file should have been changed.
Really useful. Thank you so much.
Congratulations my friend for the video. It helped a lot. Could you tell me if with this strategy the fps is how much?
The fps kind of depends on the hardware you’re running this models on. You will get more fps using this on a GPU than CPU.
@@tech_watt That's where the problem is. I need to run a model on a cell phone. Would it be possible to have a satisfactory fps to be able to correctly count objects?
@jonatapaulino to run the model on mobile devices you have to quantize the model in other to increase the fps.
@tech_watt Do you have a video about this or a tutorial that could help?