karoly-hars/depth_estimation_with_densenet-unet_hybrid
Depth estimation from RGB images using a DenseNet based deep model.
This project helps convert standard color photographs into detailed depth maps, showing how far away objects are from the camera. You provide a single RGB image, and it outputs an image where pixel brightness represents depth. This is useful for researchers and students working with computer vision, robotics, or 3D scene understanding.
No commits in the last 6 months.
Use this if you need to quickly estimate the depth information from individual photos for research or experimental purposes.
Not ideal if you need to train a new depth estimation model or require real-time depth sensing for applications like autonomous navigation.
Stars
16
Forks
3
Language
Python
License
MIT
Category
Last pushed
Apr 27, 2022
Commits (30d)
0
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