Tech Watt
Tech Watt
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@Ultralytics Solutions for Computer Vision Engineers
In this video, we dive deep into the innovative applications of Ultralytics' solutions using the YOLO11 model, showcasing how it transforms industries through cutting-edge solutions. From object counting and blurring to advanced security systems, YOLO11 enhances efficiency and accuracy, making a significant impact in real-world scenarios.
Join us as we explore practical implementations, demonstrate its capabilities, and discuss the future of computer vision technology.
Don't forget to like, share, and subscribe for more insights into the world of AI and computer vision!
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If you found this tutorial helpful, please like, share, and subscribe! Leave a comment below with questions or ideas for future tutorials!
#yolo11 #ultralytics #objectdetection #ai #machinelearning #computervision #innovation #techsolutions #securitysystems #objectcounting #deeplearning #datascience #aiapplications #techforgood #automation #imageprocessing #smarttechnology #surveillance #efficiency #accuracy #realworldapplications
#posedetection #yolov8 #opencv #pythonprogramming #artificialintelligence #machinelearning #computervision #realtimeai #humanposeestimation #deeplearning #keypointdetection #aiprojects #cvzone #bodytracking #realtimepose #pythonprojects #techinnovation #aiinmotion #motiondetection #aiapplications #python #posedetection
Переглядів: 198

Відео

Sentiment Analysis in Python
Переглядів 1479 годин тому
Discover how to perform sentiment analysis in Python using the NLTK library! In this beginner-friendly tutorial, learn how to analyze the sentiment of text, from extracting polarity scores to determining the strongest sentiment. Perfect for those exploring natural language processing (NLP) and machine learning. Watch now to take your Python skills to the next level! 🚀 What you'll learn: Install...
Calculating Car Collision Time & Distances: A Step-by-Step Tutorial
Переглядів 7012 годин тому
In this tutorial, we will demonstrate how to calculate when two cars will collide and the distances each car has traveled at the point of collision. Using simple formulas and clear explanations, we will break down the concepts of relative speed and distance. Perfect for students learning physics or anyone interested in understanding real-world applications of math! SOCIALS Join Discord: discord...
Master Python's enumerate() Function in Minutes!
Переглядів 5714 годин тому
Learn how to use Python's powerful enumerate() function to loop through iterables with ease! In this tutorial, we’ll cover: The basics of enumerate() Adding index values to your loops effortlessly Using enumerate() with lists, strings, and tuples Real-world examples and best practices Perfect for beginners and those looking to write cleaner, more Pythonic code. Watch now and take your Python sk...
Python List Comprehension Explained: Write Cleaner & Faster Code!
Переглядів 5116 годин тому
Discover the power of list comprehension in Python! In this tutorial, we’ll show you how to simplify your code and make it more efficient by using list comprehension. Perfect for beginners and anyone looking to write cleaner, Pythonic code. 🚀 Topics covered: What is list comprehension? Basic syntax and examples Converting loops into list comprehensions Advanced list comprehension techniques Lev...
Master JSON in Python: Convert Python Objects to JSON Easily!
Переглядів 5419 годин тому
Learn how to work with JSON in Python using the json module! In this quick tutorial, we’ll show you how to convert a Python dictionary to a JSON string with json.dumps(). Perfect for beginners and anyone looking to master data serialization in Python. 🚀 Topics covered: What is JSON? Using json.dumps() to serialize Python objects Simple example with Python dictionary Ready to make data handling ...
Swap Two Variables in Python Without a Temp Variable! 🚀
Переглядів 3919 годин тому
Did you know you can swap two variables in Python in just one line of code? Say goodbye to temporary variables! In this tutorial, we’ll explore: The classic method of swapping variables Python’s unique approach to swapping Why Python’s tuple unpacking makes swapping simple and elegant Perfect for beginners looking to master Python’s unique features. Watch now to upgrade your coding skills in un...
How to Merge Python Dictionaries
Переглядів 2219 годин тому
Learn how to merge Python Dictionaries in this easy-to-follow tutorial! We'll explore: 1️⃣ Three different ways of merging python dictionaries. By the end of this video, you'll confidently handle dictionaries for your Python projects. Don't forget to like, share, and subscribe for more Python tips! 🚀 SOCIALS Join Discord: discord.gg/XKpWB89q Mail: felixsam922@gmail.com. Instagram: instagram.com...
Master Python's Datetime Module: Current Date, Time, and Custom Formats Explained!
Переглядів 134День тому
Learn how to work with Python's powerful datetime module in this easy-to-follow tutorial! We'll explore: 1️⃣ How to get the current date and time. 2️⃣ Extracting only the time or date. 3️⃣ Creating custom date and time objects. 4️⃣ Formatting dates and times for better readability. By the end of this video, you'll confidently handle datetime operations for your Python projects. Don't forget to ...
Variables in Python for Beginners
Переглядів 8314 днів тому
Learn the fundamentals of Python variables in this beginner-friendly tutorial! 🚀 Discover how to create, assign, and use variables effectively in Python programming. Whether you're starting your coding journey or need a quick refresher, this tutorial has you covered. 🎯 📌 What You'll Learn: What are variables in Python? How to assign values to variables Best practices for naming variables SOCIAL...
Train Your Own Gun Detection Model with YOLO11 | Complete Beginner's Guide (Step-by-Step)
Переглядів 44421 день тому
🚀 Learn to Train Your Own Gun Detection Model with YOLO11! In this step-by-step tutorial, I'll show you how to build a custom gun detection model from scratch using YOLO11 on your local machine. This guide is perfect for beginners who want to dive into the world of computer vision and object detection. 🔍 What You'll Learn in This Video: ✅ Setting up your local machine for YOLO11 ✅ Collecting an...
Master Transfer Learning: A Step-by-Step Guide for Beginners
Переглядів 41321 день тому
Unlock the power of Transfer Learning in this in-depth tutorial! 🎓 Learn how to build smarter and faster AI models by leveraging pre-trained neural networks like VGG16, ResNet, and more. Whether you're a beginner in deep learning or an AI enthusiast looking to level up, this video is perfect for you. 📚 What You’ll Learn: What is Transfer Learning and why it’s important? How pre-trained models s...
Cosine Similarity: A Comprehensive Guide
Переглядів 194Місяць тому
Welcome to our in-depth tutorial on Cosine Similarity! In this video, we will explore the concept of cosine similarity, its mathematical foundation, and its applications in various fields such as natural language processing and recommendation systems. What You Will Learn: Definition and Importance: Understand what cosine similarity is and why it's a crucial metric in data analysis. Mathematical...
Introduction to AI, ML, DL, and Computer Vision | Beginner-Friendly Overview
Переглядів 259Місяць тому
🌟 Welcome to the ultimate beginner's guide to Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Computer Vision (CV)! In this video, you'll learn: ✅ What AI, ML, DL, and CV are. ✅ The key differences between these technologies. ✅ Real-world applications of each field. ✅ How these technologies are shaping the future. Whether you're a student, developer, or enthusiast, ...
Python for Beginners: Understanding the Map Function
Переглядів 154Місяць тому
Welcome to our beginner-friendly tutorial on the map() function in Python! If you're new to programming or just starting with Python, this video is perfect for you. We’ll explain what the map() function is, how it works, and provide simple examples to help you grasp its usage. In This Tutorial, You Will Learn: What the map() function does and why it's useful. How to use map() with regular funct...
Real-Time Human Pose Detection with YOLOv8 and Python | Amazing Keypoint Visualizations!
Переглядів 1,1 тис.Місяць тому
Real-Time Human Pose Detection with YOLOv8 and Python | Amazing Keypoint Visualizations!
Python Casting: A Beginner's Guide
Переглядів 277Місяць тому
Python Casting: A Beginner's Guide
Python Functions Made Easy for Beginners!
Переглядів 269Місяць тому
Python Functions Made Easy for Beginners!
Check if a number is Even or Odd in Python - beginner tutorial
Переглядів 141Місяць тому
Check if a number is Even or Odd in Python - beginner tutorial
Python for Beginners: Calculate Course Averages Step-by-Step
Переглядів 121Місяць тому
Python for Beginners: Calculate Course Averages Step-by-Step
Mastering Lambda Functions in Python: A Beginner's Guide
Переглядів 135Місяць тому
Mastering Lambda Functions in Python: A Beginner's Guide
Python for Beginners: Move Zeros to the End of a List (Two Easy Methods!)
Переглядів 111Місяць тому
Python for Beginners: Move Zeros to the End of a List (Two Easy Methods!)
Python for Beginners: Easily Find the Median in a List!
Переглядів 142Місяць тому
Python for Beginners: Easily Find the Median in a List!
Build Your Own AI-Powered Lesson Planner with Python & Streamlit | Free Code & Resources Included!
Переглядів 4912 місяці тому
Build Your Own AI-Powered Lesson Planner with Python & Streamlit | Free Code & Resources Included!
Real Time Object Detection with YOLO11 and Webcam
Переглядів 1,7 тис.2 місяці тому
Real Time Object Detection with YOLO11 and Webcam
Transform Your GitHub Profile from Default to Professional
Переглядів 3502 місяці тому
Transform Your GitHub Profile from Default to Professional
Train YOLO11 on Custom Dataset
Переглядів 2,3 тис.2 місяці тому
Train YOLO11 on Custom Dataset
A Comprehensive Guide to YOLO11 for Object Detection!
Переглядів 1,2 тис.3 місяці тому
A Comprehensive Guide to YOLO11 for Object Detection!
How to Setup and Test Llama 3.2 VISION Model
Переглядів 3,3 тис.3 місяці тому
How to Setup and Test Llama 3.2 VISION Model
AI Video Analyzer App
Переглядів 5393 місяці тому
AI Video Analyzer App

КОМЕНТАРІ

  • @cascatechssolutions6151
    @cascatechssolutions6151 День тому

    Can I get the video of the cars moving?

    • @tech_watt
      @tech_watt 4 години тому

      yes i will upload it to google drive and share the link with you.

  • @aiforyounow
    @aiforyounow 2 дні тому

    Thanks for this amazing tutorial

  • @cascatechssolutions6151
    @cascatechssolutions6151 2 дні тому

    😊

  • @eugenesewor3622
    @eugenesewor3622 4 дні тому

    Thank goodness for pre-trained models

    • @tech_watt
      @tech_watt 4 дні тому

      Yes. That model is very accurate

    • @aminasehar3658
      @aminasehar3658 4 дні тому

      @@tech_watt What if your model is not giving you stable results and code is not available

    • @tech_watt
      @tech_watt 3 дні тому

      @@aminasehar3658 Here is the link to the code. github.com/Tech-Watt/Sentiment-Analysis-using-NLTK.

  • @kantonatech7786
    @kantonatech7786 4 дні тому

    Programming is good but is not for the weak.

    • @EnochOkikiJesus
      @EnochOkikiJesus 3 дні тому

      Well glad to inform you that with the advent of AI, programming is now for the weak & slubby.. all it now takes is just to show up 😉 🎉

  • @JaDanBar97
    @JaDanBar97 6 днів тому

    How to write faster code: don't use Python

  • @techsams
    @techsams 7 днів тому

    great tutorial

  • @amaneymutallibabdul
    @amaneymutallibabdul 7 днів тому

    That's great 👍

    • @tech_watt
      @tech_watt 7 днів тому

      @@amaneymutallibabdul thanks for watching

  • @shrehanarya-iw6vx
    @shrehanarya-iw6vx 10 днів тому

    can u make videos on kotlin.

  • @jhlim7367
    @jhlim7367 10 днів тому

    I am a beginner. I have tried to do it but theres error code says "ModuleNotFoundError: No module named 'sort'". May I know how to fix this?

    • @tech_watt
      @tech_watt 10 днів тому

      Sort is the tracking algorithm make sure you clone the repository on GitHub so you can get all the files

  • @gmangalgi1311
    @gmangalgi1311 10 днів тому

    how to calculate accuracy?

    • @tech_watt
      @tech_watt 10 днів тому

      After training you can use the confusion matrix graph to calculate the accuracy.

  • @imvention5696
    @imvention5696 11 днів тому

    Where u guys find video dataset of person falling?

  • @SA-oj3bo
    @SA-oj3bo 14 днів тому

    Thx, just found you on the internet. How long did you needed to learn all this and reach this level? Do you have a video teaching how to make your own dataset?

  • @BernardoCodingdev
    @BernardoCodingdev 15 днів тому

    bro, u can help me please?

    • @tech_watt
      @tech_watt 15 днів тому

      Help with what actually?

  • @digifresh
    @digifresh 17 днів тому

    I want to learn coding

    • @tech_watt
      @tech_watt 17 днів тому

      Follow my python for beginners playlist

  • @arisk8464
    @arisk8464 21 день тому

    can you make an android app with live object detection?

  • @stoicwritter
    @stoicwritter 22 дні тому

    how to do the same for live video feed ie to a person doing it in front of webcam and it shows reps done on live

    • @tech_watt
      @tech_watt 22 дні тому

      Change the video path to your camera index.

  • @arikusuma1226
    @arikusuma1226 23 дні тому

    thank you man, AMAZING VIDEOOO!!!!

  • @serials8077
    @serials8077 26 днів тому

    great example but how can i make it dynamic like i will pass a prompt to ai and it will automatically search a website scrape out data analyse and give result

  • @evanhaston9800
    @evanhaston9800 27 днів тому

    I started with your fall detection and loved it! Keep them coming!

  • @aiforyounow
    @aiforyounow 27 днів тому

    Great tutorial. Clearly explained

  • @Oracle643
    @Oracle643 28 днів тому

    Great tutorial! would you consider doing this using Groq?

  • @gsmpromates
    @gsmpromates Місяць тому

    Informative 🎉.

  • @MohdAnas-xz6fu
    @MohdAnas-xz6fu Місяць тому

    can you share the github link for the model

    • @tech_watt
      @tech_watt Місяць тому

      I will add it by close of today. Link will be in the video description

  • @furqanZulva
    @furqanZulva Місяць тому

    Thanks a lot from Indonesia

    • @tech_watt
      @tech_watt Місяць тому

      Kindly share with your friends

  • @phuocnguyenxuan4277
    @phuocnguyenxuan4277 Місяць тому

    is it have ability for detecting full body containing hand landmarks and face mesh

  • @pranavpawar531
    @pranavpawar531 Місяць тому

    Which Laptop perfect for gaming and high level coding,plz you can suggest me any model >rtx 4050

    • @tech_watt
      @tech_watt Місяць тому

      Check out on ASUS Rog zepherus Series those laptops are very powerful. Legion 9I is also a beast but expensive. I love Asus gaming laptops they are very powerful

  • @qasimsayah
    @qasimsayah Місяць тому

    Good. Can you do it with MediaPipe and save the animation video?

  • @aiforyounow
    @aiforyounow Місяць тому

    I love this tutorial

  • @walterhartman
    @walterhartman Місяць тому

    good video.

    • @tech_watt
      @tech_watt Місяць тому

      Thanks for your feedback

  • @mrblack2923
    @mrblack2923 Місяць тому

    Nice video, I want to ask is it still possible to do this with custom dataset and if so what do i have to change?

    • @tech_watt
      @tech_watt Місяць тому

      I have a tutorial on using YoloV9 on your custom dataset so do check that out

  • @aiforyounow
    @aiforyounow Місяць тому

    great tutorial

    • @tech_watt
      @tech_watt Місяць тому

      Glad you think so!

  • @AdityaShinde-n5h
    @AdityaShinde-n5h Місяць тому

    hey i watch your all video its really impressive how can we design system for reidentification of human using yolo can you please made video on that ??

  • @iqu5147
    @iqu5147 Місяць тому

    Can you make one tutorial with groq. I tried but its not working.

    • @tech_watt
      @tech_watt Місяць тому

      I have tutorials on how to use models from the groq platform

  • @Adilnawazkhan7509
    @Adilnawazkhan7509 Місяць тому

    Is it Free?

  • @thomasstephen5760
    @thomasstephen5760 Місяць тому

    Thank you for this. Exactly what I was looking for.

  • @princikhare3603
    @princikhare3603 Місяць тому

    Wonder ful explanation

  • @АсланДз-с6ы
    @АсланДз-с6ы Місяць тому

    Good afternoon. Can you tell me how to make sure that each detected object displays the probability that it is exactly that object. For example, the cat is 75%

    • @tech_watt
      @tech_watt Місяць тому

      Thanks for your feedback in the code am accessing that into the variable scores in case you want it in percentage kindly multiply it by 100

  • @emmanuelbyamugisha3
    @emmanuelbyamugisha3 Місяць тому

    mat1 and mat2 shapes cannot be multiplied (4x200704 and 160000x39) thank you for the video, but unfortunately. i have this error of shapes that cant be multiplied what can i do.

    • @tech_watt
      @tech_watt Місяць тому

      Yes so basically you can’t multiply them due to the difference in shape. So make sure you reshape them.

    • @emmanuelbyamugisha3
      @emmanuelbyamugisha3 Місяць тому

      @tech_watt how do I do that... brother, then after image classification.. I kindly request if possible whether you could series on disease plant disease detection using efficientnetb2... oh if you have any recommendations brother

    • @emmanuelbyamugisha3
      @emmanuelbyamugisha3 Місяць тому

      @tech_watt I sincerely love your videos and I shared them

  • @11hmt.sun007
    @11hmt.sun007 Місяць тому

    Brother please also do implementation of traffic light and signs dataset with Faster R CNN ON COLAB

  • @felixaduloju7750
    @felixaduloju7750 Місяць тому

    The best Python tutorial! Thank you Techwatt!

  • @aiforyounow
    @aiforyounow Місяць тому

    I love this

  • @PascuMihai-Alexandru-zf4zr
    @PascuMihai-Alexandru-zf4zr Місяць тому

    You wrote leftval = np.interp(right,[0,100],[400,200]) rightval = np.interp(right, [0, 100], [400, 200]), shouldnt the first one be leftval = np.interp(left,[0,100],[400,200])? You do the same thing for left and right. If you change it to left, the code doesnt work anymore. Any idea what the problem could be?

  • @emmanuelbyamugisha3
    @emmanuelbyamugisha3 2 місяці тому

    You just saved me brother. God bless you

    • @tech_watt
      @tech_watt 2 місяці тому

      Thanks to God you’ve got it

  • @SinergiasHolisticas
    @SinergiasHolisticas 2 місяці тому

    Lov eit!!!!!!!!

  • @yuwanisenara5970
    @yuwanisenara5970 2 місяці тому

    Thank you sir☺A good video👍

  • @sathviknandeesha2289
    @sathviknandeesha2289 2 місяці тому

    Sir can we do all this even in our github or not

  • @Mohamed_khaliVvaaa1
    @Mohamed_khaliVvaaa1 2 місяці тому

    Great project....🎉can you make the next tutorial chatbot that take natural question and respond with sql code where we can query the database with it by using RAG and LLMs it will be a greate content broooo❤

    • @tech_watt
      @tech_watt 2 місяці тому

      Okay thanks for your recommendation sir, I will definitely look into it

  • @ShaikSohail-x4w
    @ShaikSohail-x4w 2 місяці тому

    I did it how you did but I’m not getting output and no errors

    • @tech_watt
      @tech_watt 2 місяці тому

      Really ? How’s that possible

    • @ShaikSohail-x4w
      @ShaikSohail-x4w 2 місяці тому

      @@tech_watt yeah I’m not understanding why it’s not counting the push-ups , if you don’t mind can you please check mine code and will you help me please