Скачать с ютуб Creating Your Own AI Fitness Trainer: Analyzing Squats with MediaPipe в хорошем качестве

Creating Your Own AI Fitness Trainer: Analyzing Squats with MediaPipe

📚 Blog post Link: https://learnopencv.com/ai-fitness-tr... 📚 Check out our FREE Courses at OpenCV University : https://opencv.org/university/free-co... In this computer vision tutorial video, we will see the working of our application AI fitness trainer that will accurately monitor our squats, analyze the data and offer real-time feedback to develop such an app. We leverage Media Pipe's deep learning-based human post-estimation solution. ❓Building an AI Fitness Trainer: Mastering Squats with MediaPipe's Deep Learning Algorithm, Whether you're a beginner or a seasoned pro, imagine having an AI fitness trainer that guides you through perfect squats effortlessly. In order to achieve this ambitious goal, we can leverage the capabilities of a cutting-edge deep learning-based human pose estimation algorithm. When it comes to estimating human poses, there are several popular frameworks available, including OpenPose, AlphaPose, Yolov7, and MediaPipe, to name a few. After careful consideration, we've chosen MediaPipe's Pose pipeline due to its exceptional inference speed on CPU. By harnessing the power of MediaPipe's Pose pipeline, we can accurately estimate human keypoints, providing real-time feedback and guidance during squat exercises. This AI fitness trainer will ensure that your squats are executed with precision, helping you improve your form, prevent injuries, and optimize your workout routine. Join us on this exciting journey as we dive into the fascinating world of AI fitness training and discover how MediaPipe's deep learning algorithm can revolutionize the way we perform squats. Get ready to elevate your fitness game with our step-by-step tutorial on building your own AI fitness trainer using MediaPipe for flawless squat execution. Topics Covered ✅Body Pose Estimation Using MediaPipe ✅Intuition of Frontal and Side View for Posture Analysis ✅Building an AI Fitness Trainer Using MediaPipe Pose to Analyze Squats ✅State Diagram Explanation While Performing Squats ✅Application Workflow for the AI Fitness Trainer ✅Key Concepts While Designing The Application ✅Angle Calculation ✅Feedback Actions for the AI Fitness Trainer Application ✅Computing Inactive Times ✅Test Cases in the AI Fitness Trainer Application ✅Modes of Squats – Beginner vs. Pro ⭐️ Time Stamps:⭐️ 00:00-00:16: Introduction 00:16-01:58: Mediapipe's Human Pose Estimation 01:58-02:47: Test Cases 02:47-03:42: Counting a Squat 03:42-03:55: Outro Resources: 📚Link on GRADIO: https://huggingface.co/spaces/Kunal7/... 🔧 Application Link: https://huggingface.co/spaces/Kunal7/... 🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow. 🤖 Learn from the experts on AI: Computer Vision and AI Courses YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students who have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.🤖 https://opencv.org/courses #️⃣ Connect with Us #️⃣ 📝 Linkedin:   / satyamallick   📱 Twitter:   / learnopencv   🔊 Facebook: https://www.facebook.com/profile.php?... 📸 Instagram:   / learnopencv   🔗 Reddit:   / spmallick   🔖Hashtags🔖 #mediapipe #objectdetection #deeplearning #computervision #learnopencv #opencv #AIFitnessTrainer #SquatAnalysis #MediaPipePoseEstimation #PerfectSquats #FitnessTechnology #DeepLearningAlgorithm #WorkoutGuidance #FormCorrection #FitnessRevolution #AIWorkoutBuddy #BuildYourOwnTrainer #FitnessTech #EnhancePerformance #InjuryPrevention #OptimizeWorkout #FitnessGoals #AIInnovation #FitTech #SquatPerfection #AIAssistedWorkouts #TrainSmarter