LibreMiDaSl-depth / README.md
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Mirror MiDaS l depth weights (MIT)
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metadata
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, 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.

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("LibreMiDaSl-depth.pt")
depth = model.predict("image.jpg")[0].depth_map

License

MIT License. See the LICENSE and NOTICE files in this repository.