tjqansthd/LapDepth-release

Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals

46
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Emerging

This project helps computer vision practitioners analyze standard camera images to understand the distance of objects in a scene. It takes a single 2D image as input and outputs a depth map, where each pixel represents how far away that point is from the camera. This is useful for researchers and engineers working on autonomous vehicles, robotics, or augmented reality.

333 stars. No commits in the last 6 months.

Use this if you need to quickly estimate the depth of objects in an image using a well-established monocular depth estimation model.

Not ideal if you need real-time performance on embedded systems or are looking for a solution that utilizes stereo cameras or LiDAR.

computer-vision autonomous-driving robotics 3d-reconstruction scene-understanding
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

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Stars

333

Forks

51

Language

Jupyter Notebook

License

GPL-3.0

Last pushed

Apr 17, 2024

Commits (30d)

0

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