OpenCV Python with Classical Computer Vision Theory

Currently Playing: OpenCV Python Pose Estimation for Objects (Algorithm and Code)

🎁 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/all-courses-bundle-deal/ 🤝 Consulting and Mentorship: https://kevinwoodrobotics.com/product-category/consulting/ 👁️ Learn OpenCV: https://kevinwoodrobotics.com/product/opencv-python-tutorials-full-playlist/ 🤖 Learn ROS: https://kevinwoodrobotics.com/product/ros2-tutorials-full-playlist/ 🧠 Learn Computer Vision using AI: https://kevinwoodrobotics.com/product/computer-vision-using-ai/ 🖥️ Learn AI and Machine Learning: https://kevinwoodrobotics.com/product/ai-and-machine-learning-bundle/ 🛒 Amazon Store (My Top Picks for Robot Projects and More!): https://www.amazon.com/shop/kevinwoodroboticsai?ref_=cm_sw_r_cp_ud_aipsfshop_Q3AMRNBSVVB00Y1XR9TN_3 ☕ Support My Channel: https://buymeacoffee.com/kevinwoodrobotics/ In this video, I will go over pose estimation in OpenCV using python in VS Code. We will take our calibration results from the previous video and apply it by drawing cubes and coordinate systems that move with the chessboard pattern. We will use the solvepnp method to minimize the projection error, which will allow us to find the rotation and translation vectors that describe the object pose. 0:00 Introduction 0:19 What is pose estimation? 0:31 Why do we need pose estimation? 0:41 How does pose estimation work? 3:08 Code Thanks for watching! If you found this video helpful, please like, subscribe and share: https://www.youtube.com/@kevinwoodrobotics Social: LinkedIn: https://www.linkedin.com/in/kevinwoodrobotics Github: https://github.com/kevinwoodrobotics Instagram: https://www.instagram.com/kevinwoodrobotics/ Twitter: https://twitter.com/kevinwoodrobotics