monodepth2 and Monodepth2.jl
About monodepth2
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.
About Monodepth2.jl
pxl-th/Monodepth2.jl
Self-supervised monocular depth estimation
This tool helps computer vision researchers and robotics engineers convert standard 2D images into detailed depth maps, which show the distance of objects from the camera. You feed it a single image or a sequence of images, and it outputs a disparity map highlighting depth, useful for tasks like scene understanding or autonomous navigation. This is ideal for those working with visual data where depth information is critical but specialized sensors aren't available.
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