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.