metadata
license: mit
library_name: libreyolo
tags:
- depth-estimation
- monocular-depth
- midas
LibreMiDaSs-depth
MiDaS EfficientNet-Lite3 (MiDaS v2.1 small, 256 px) monocular depth model, repackaged in LibreYOLO checkpoint format.
Source
Derived from isl-org/MiDaS, release asset
midas_v21_small_256.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.
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
from libreyolo import LibreYOLO
model = LibreYOLO("LibreMiDaSs-depth.pt")
depth = model.predict("image.jpg")[0].depth_map
License
MIT License. See the LICENSE and NOTICE files in
this repository.