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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
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