p-ranav/merged_depth

Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models

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/ 100
Emerging

This tool helps you accurately determine the distance of objects in an image from a single photograph, a task known as monocular depth estimation. You provide a standard 2D image, and it outputs a map showing the absolute depth (distance in meters) for every pixel, along with a visual representation. This is useful for researchers and developers working in fields like robotics, augmented reality, or 3D scene reconstruction.

No commits in the last 6 months.

Use this if you need to extract precise, per-pixel depth information in meters from individual 2D images using a robust, combined approach.

Not ideal if you require real-time video processing or if your application specifically needs stereo vision or LiDAR data for depth sensing.

robotics-vision 3d-reconstruction augmented-reality computer-vision image-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

48

Forks

3

Language

Python

License

MIT

Last pushed

Nov 03, 2021

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/p-ranav/merged_depth"

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