megvii-research/CREStereo
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
This project helps computer vision engineers and robotics developers convert two images of the same scene, taken from slightly different viewpoints, into a detailed 'disparity map'. This map reveals the depth and distance of objects in the scene. It takes a left and right image pair and outputs a disparity map, useful for tasks like 3D reconstruction and autonomous navigation.
599 stars. No commits in the last 6 months.
Use this if you need to precisely measure the depth of objects in a scene from stereo camera input for applications such as robotics, augmented reality, or 3D mapping.
Not ideal if you are looking for a solution to identify objects or classify images, as this focuses specifically on depth estimation.
Stars
599
Forks
65
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 10, 2023
Commits (30d)
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