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Initial upload: ZipDepth bnpu (MIT, metadata wrap of upstream checkpoint)
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---
license: mit
library_name: libreyolo
pipeline_tag: depth-estimation
tags:
- depth-estimation
- monocular-depth
- zipdepth
---
# LibreZipDepthbnpu-depth
ZipDepth base with the NPU decoder: a ~6M-parameter reparameterizable CNN
(RepVGG encoder, SPPF + cross-scale neck, FPN decoder) for zero-shot relative
monocular depth estimation, repackaged for LibreYOLO. This checkpoint carries
a separately trained unfold-free convex-upsampling head for NPU/edge compilers
that lack gather/unfold support; use it when exporting to constrained runtimes.
The standard GPU/CPU checkpoint is
[LibreZipDepthb-depth](https://huggingface.co/LibreYOLO/LibreZipDepthb-depth).
## Usage
```python
from libreyolo import LibreYOLO
model = LibreYOLO("LibreZipDepthbnpu-depth.pt") # auto-downloads from this repo
results = model.predict("image.jpg", save=True)
depth = results[0].depth_map.data # (H, W) relative inverse depth
model.export(format="onnx") # unfold-free fixed-resolution graph
```
Outputs follow LibreYOLO's depth task contract: a dense float map on the
original image canvas, higher values mean closer to the camera, no metric unit.
## Source
Derived from [fabiotosi92/ZipDepth](https://github.com/fabiotosi92/ZipDepth)
(`checkpoints/zipdepth_base_npu.pth`) at commit
`6b96f4d205f8a2e5377e81c1b74cc99a47f6693a` (ECCV 2026, University of Bologna).
Copyright (c) 2026 Fabio Tosi. Licensed under the MIT License.
## Modifications
LibreYOLO checkpoint-schema metadata wrap only. Learned parameters are
byte-identical to upstream. See `weights/convert_zipdepth_weights.py` in the
[LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo).
## Training-data provenance
Upstream trained these weights by distilling pseudo-labels produced by Depth
Anything V2 Large (a CC-BY-NC-4.0 checkpoint) over ~14M images from 17 public
datasets. The MIT grant on the resulting student weights is the upstream
authors' published licensing position; the lineage is documented here for
transparency.
## License
MIT License. See the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE) files in
this repository.