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license: mit
library_name: libreyolo
tags:
- depth-estimation
- monocular-depth
- midas
---
# LibreMiDaSl-depth
MiDaS ViT-L/16 (DPT-Large, 384 px) monocular depth model, repackaged in LibreYOLO checkpoint format.
## Source
Derived from [isl-org/MiDaS](https://github.com/isl-org/MiDaS), release asset
`dpt_large_384.pt`.
Copyright (c) Intel ISL. Licensed under the MIT License.
## Modifications
State-dict key remapping only. Learned parameters are unchanged.
See `weights/convert_midas_weights.py` in the
[LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo).
## A note on the training data
MiDaS was trained on a mixture of twelve datasets, several of which carry
non-commercial terms of their own. LibreYOLO redistributes these weights under
the MIT licence its publisher applied to them. If your use is commercial,
satisfy yourself about the training-data terms before relying on it.
## Usage
```python
from libreyolo import LibreYOLO
model = LibreYOLO("LibreMiDaSl-depth.pt")
depth = model.predict("image.jpg")[0].depth_map
```
## License
MIT License. See the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE) files in
this repository.
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