tjqansthd/LapDepth-release
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
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.
Stars
333
Forks
51
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Apr 17, 2024
Commits (30d)
0
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