Aradhye2002/EcoDepth
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
- Stars
- 220
- Forks
- 21
- Open issues
- 6
- Last push
- 11mo ago
About EcoDepth
EcoDepth is a free, open-source computer vision tool by Aradhye2002, written mainly in Python. [CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation". It has 220 GitHub stars and 21 forks, and was last updated 11mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 220
- Last update
- 11mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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EcoDepth FAQ
Is EcoDepth free?
Yes. EcoDepth is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does EcoDepth run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does EcoDepth need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is EcoDepth still maintained?
It was last updated 11mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to EcoDepth?
Similar free, open-source tools include deep-learning-drizzle, autogluon, ultralytics, Marigold.