MiDaS
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer, based on https://github.com/isl-org/MiDaS.
Dependencies
- PyTorch 2.1.0 or later
- timm 0.6.13. Not compatible with 0.9.x
- VapourSynth R62 or later
Installation
pip install -U vsmidas
python -m vsmidas
Usage
from vsmidas import midas
ret = midas(clip)
See __init__.py for the description of the parameters.
1 maintainer
Metadata
1 maintainer
Release files for vsmidas 1.1.0
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vsmidas-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / vsmidas-1.1.0-py3-none-any.whl
| Download URL | vsmidas-1.1.0-py3-none-any.whl |
|---|---|
| Size | 19.8 kB |
| Tags | Python 3 |
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