🎁 Get FREE Robotics & AI Resources (Guide, Textbooks, Courses, Resume Template, Code & Discounts) – Sign up via the pop-up at https://kevinwoodrobotics.com/
📝 Real-World Robotics Project Course Overview and Waitlist: https://forms.gle/xu4rfk7GWHCaZGBEA
🦾 Learn Robotics and AI: https://kevinwoodrobotics.com/product...
🤝 Consulting and Mentorship: https://kevinwoodrobotics.com/product...
👁️ Learn OpenCV: https://kevinwoodrobotics.com/product...
🤖 Learn ROS: https://kevinwoodrobotics.com/product...
🧠 Learn Computer Vision using AI: https://kevinwoodrobotics.com/product...
🖥️ Learn AI and Machine Learning: https://kevinwoodrobotics.com/product...
🛒 Amazon Store (My Top Picks for Robot Projects and More!): https://www.amazon.com/shop/kevinwood...
☕ Support My Channel: https://buymeacoffee.com/kevinwoodrob...
I will show you how to do human pose estimation using deep learning method from YOLOv8 Ultralytics and OpenCV in Python by analyzing how Lebron James jumps to make his 3 pointer shots. By the end of this video, we will see how we can use pose estimation on Lebron James and plot the angles of his jumping depth.
Pose estimation is great for many applications including sports analytics, animation, ai personal trainer, and analyzing biomechanics.
Learn AI: https://kevinwoodrobotics.com/product...
0:00 Introduction
0:37 Pose Estimation Applications
1:11 YOLOv8 Pose Estimation Keypoints
1:48 Pose Estimation Code
Thanks for watching! If you found this video helpful, please like, subscribe and share:
/ @kevinwoodrobotics
Social:
LinkedIn: / kevinwoodrobotics
Github: https://github.com/kevinwoodrobotics
Instagram: / kevinwoodrobotics
Twitter: / kevinwoodrobotics
In questa pagina del sito puoi guardare il video online Human Pose Estimation Python using YOLOv8 (Revealing Lebron James 3 Pointer Secrets) della durata di ore minuti seconda in buona qualità , che l'utente ha caricato Kevin Wood | Robotics & AI 13 marzo 2024, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 4,191 volte e gli è piaciuto 63 spettatori. Buona visione!