EryiXie/PlaneRecNet
This is an official implementation for "PlaneRecNet" (BMVC 2021).
This project helps computer vision practitioners analyze indoor scenes by automatically identifying flat surfaces (like walls, floors, and tables) and estimating the distance of objects from the camera. You feed it a single image (JPG or PNG) or a folder of images, and it outputs visual segmentations of planar surfaces along with a depth map for each image. This tool is for researchers and engineers working with 3D scene understanding and reconstruction.
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Use this if you need to extract precise geometric information about planar structures and depth from monocular images of indoor environments.
Not ideal if your primary goal is general object detection or if you are working exclusively with outdoor scenes or non-planar environments.
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88
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Language
Python
License
MIT
Category
Last pushed
May 26, 2022
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