ponimatkin/focalpose
[CVPR 2022] Focal Length and Object Pose Estimation via Render and Compare
This project helps computer vision researchers and engineers accurately determine the orientation and distance (focal length) of objects in images. You provide an image containing an object and its class (e.g., "chair", "car"), and it outputs images with 3D models precisely aligned to the detected object, along with camera parameters. It is ideal for those developing systems that need to understand 3D object properties from 2D pictures.
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Use this if you need to precisely estimate the 3D pose and focal length of objects in images, particularly for research or applications in robotics, augmented reality, or 3D scene understanding.
Not ideal if you're looking for a simple, out-of-the-box solution for general object detection or classification without needing detailed 3D pose information.
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82
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11
Language
Python
License
MIT
Category
Last pushed
May 24, 2023
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