nianticlabs/monodepth2
[ICCV 2019] Monocular depth estimation from a single image
This project helps computer vision and robotics engineers accurately estimate the distance of objects in a scene using only a single 2D image. It takes a standard image as input and outputs a 'depth map' or 'metric depth' that shows how far away each point in the image is. This is useful for tasks like autonomous navigation, 3D reconstruction, and augmented reality, where understanding spatial relationships from camera feeds is crucial.
4,466 stars. No commits in the last 6 months.
Use this if you need to calculate the depth or distance of objects within a single image for applications like robot navigation, 3D scene understanding, or enhancing augmented reality experiences.
Not ideal if your primary goal is real-time processing on very low-power embedded devices or if you require extremely high precision depth for very small, intricate objects without any possibility of multiple camera views.
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Aug 10, 2024
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