Mirror MiDaS s depth weights (MIT)

.gitattributes

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LICENSE

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+MIT License
+
+Copyright (c) 2019 Intel ISL (Intel Intelligent Systems Lab)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

LibreMiDaSs-depth.pt

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+size 85736267

NOTICE

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+LibreMiDaS weights
+------------------
+
+This product contains weights derived from MiDaS
+(https://github.com/isl-org/MiDaS).
+Copyright (c) Intel ISL.
+Licensed under the MIT License.
+
+MiDaS was trained on a mixture of twelve datasets whose individual terms are
+not all permissive. The redistribution here rests on the MIT licence applied
+by the publisher to the released checkpoints.

README.md

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+---
+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](https://github.com/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](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("LibreMiDaSs-depth.pt")
+depth = model.predict("image.jpg")[0].depth_map
+```
+
+## License
+
+MIT License. See the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE) files in
+this repository.