OpenCV Python Project
Learn computer vision techniques with Python and OpenCV, from face detection to emotion recognition, creating filters, and building interactive projects like virtual mouse and games.
Training My Deadlift Bot With MediaPipe and OpenCV
Learn to create a deadlift bot using MediaPipe and OpenCV in this hands-on live stream, exploring practical applications of computer vision and machine learning for fitness tracking.
AI Hand Pose Estimation with MediaPipe - Detect Left and Right Hand and Calculate Angles
Learn advanced hand pose estimation using MediaPipe, OpenCV, and Python. Detect left/right hands, calculate joint angles, and render estimations for kinematic analysis and real-time applications.
AI Hand Pose Estimation with MediaPipe and Python
Learn to implement hand pose estimation using MediaPipe and Python. Set up the environment, detect hand poses in real-time, interpret results, and apply styling with OpenCV for enhanced visualization.
AI Body Language Decoder with MediaPipe and Python
Learn to decode body language using MediaPipe and Python. Build custom pose classification models to interpret facial and body landmarks in real-time with OpenCV, Pandas, and Scikit-Learn.
Building a Machine Learning Python App for Deadlift Tracking - Coding Challenge
Build a machine learning app to track deadlifts using Python, Scikit-Learn, MediaPipe, and Tkinter in this coding challenge. Learn to create a practical application combining ML and GUI development.
AI Pose Estimation with Python and MediaPipe - AI Gym Tracker Project
Learn to build an AI-powered gym tracker using Python, MediaPipe, and OpenCV. Master pose estimation, joint coordinate extraction, and angle calculation to create a rep-counting application.
AI Face, Body and Hand Pose Detection with Python and Mediapipe
Learn to detect facial landmarks, body poses, and hand gestures using Mediapipe and Python. Build touchless gesture control and human sentiment analysis applications with real-time webcam integration.
Getting Started with Google Coral Dev Board Micro - Low-Power Object Detection
Learn to train and deploy a custom object detection model on the Google Coral Dev Board Micro, achieving fast inference speeds with low power consumption. Hands-on guide covers data collection, model training, and deployment.
Machine Learning with React Native Using MediaPipe and TFLite
Integrating MediaPipe and TFLite with React Native for machine learning on mobile devices. Learn to create powerful, intuitive cross-platform apps with ML capabilities without extensive ML knowledge.
Using Mediapipe to Create Cross Platform Machine Learning Applications With React
Learn to integrate MediaPipe's open-source ML solutions with React for creating powerful, intuitive applications on low-powered devices, without extensive machine learning knowledge.
On-Device Generative AI Solutions for Android - A Walkthrough
Explore on-device Generative AI for Android using Gemini Nano and MediaPipe Tasks LLM Inference API. Learn benefits, sample app implementation, and tips for efficient AI processing on user devices.
Hand Pose Detection and Interactive Painting with ML5.js
Master hand pose detection and gesture-based interactive painting using ml5.js. Create dynamic sketches by tracking hand keypoints and implementing real-time gesture recognition for creative digital art projects.
On-Device Machine Learning for Android with MediaPipe
Explore on-device ML for Android using MediaPipe to add advanced features like image generation and object detection to your apps.
AI for Everyone - Control of Real World Objects with Gesture Recognition in Mediapipe
Learn to control real-world objects using gesture recognition with Mediapipe and Arduino. Develop a Python program to recognize hand gestures and control LEDs on an Arduino breadboard.
AI for Everyone - Accurate Gesture Recognition Using Python and MediaPipe
Learn accurate hand gesture recognition using Python and MediaPipe. Develop algorithms to detect and train on hand landmarks, enabling precise gesture identification in real-time applications.
AI for Everyone - Super Fast Face Detection Using Mediapipe
Learn to detect faces in real-time video using Mediapipe, OpenCV, and Python. Explore data parsing and visualization techniques for efficient face recognition.
AI for Everyone - Parsing Pose and Hand Landmark Data in Mediapipe
Learn to parse pose and hand landmark data in Mediapipe using Python and OpenCV. Develop full-body pose estimation for live video analysis, with practical demonstrations and troubleshooting tips.
AI for Everyone - Real Time Pose Estimation with Mediapipe and Python
Learn real-time pose estimation using Mediapipe and Python. Discover how to analyze body landmarks, process webcam video, and visualize results with OpenCV in this hands-on tutorial.
Demos on Vulkan SDK, LLM Inference, and Advancing Mobile Graphics
Explore Vulkan SDK, LLM inference on Android, and mobile graphics advancements. Gain insights from experts and discover new learning paths for software development on Arm platforms.
Efficient and Portable AI/LLM Inference on the Edge Cloud - Workshop
Explore efficient AI/LLM inference on edge cloud using WebAssembly. Learn to create lightweight, portable applications for media processing, vision, and language models, running at native speed across CPUs and GPUs.