Download NOTICE from modulsx/depthart-typegpu: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/modulsx/depthart-typegpu/resolve/main/NOTICE
- Command line
-
hf download hf://modulsx/depthart-typegpu/NOTICE
-
curl -L -o NOTICE https://huggingface.co/modulsx/depthart-typegpu/resolve/main/NOTICE
2.8 kB
| DepthART Relative-Depth Model | |
| ============================= | |
| This repository contains the DepthART relative-depth model, converted into | |
| the `.depthart` binary container format used by the TypeGPU runtime. | |
| Original work | |
| ------------- | |
| Title: DepthART: Scaling Foundation Monocular Depth to Tiny Models | |
| Authors: Feng Xue, Wu Chen, Mingshuai Zhao, Guofeng Zhong, Anlong Ming, | |
| Haozhe Wang, Dianqiao Lei, Zhaowen Lin, Haiyang Zhang, Nicu Sebe | |
| Published: ACM Multimedia, 2026 | |
| Project: https://github.com/xuefeng-cvr/DepthART | |
| Model host: https://huggingface.co/Fengxue93/DepthART | |
| License: Apache License, Version 2.0 | |
| The upstream project repository does not carry a LICENSE file or a copyright | |
| notice. Apache License, Version 2.0 is the license declared by the model | |
| repository metadata at the model host above, and is the license under which | |
| this asset is redistributed. | |
| Licensed under the Apache License, Version 2.0 (the "License"); | |
| you may not use this file except in compliance with the License. | |
| You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software | |
| distributed under the License is distributed on an "AS IS" BASIS, | |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| See the License for the specific language governing permissions and | |
| limitations under the License. | |
| Modifications | |
| ------------- | |
| The original checkpoint has been converted into the `.depthart` binary | |
| container format compatible with the TypeGPU runtime. Batch normalization and | |
| reparameterizable branches were folded, graph-only view operations were | |
| lowered, and compatible activations and channel-affine operations were fused. | |
| The computational behavior has been altered: selected encoder and decoder | |
| weights and activations are stored and computed in FP16. Selective-scan | |
| recurrence, normalization, residual endpoints, public input and output, and | |
| quality-sensitive reconstruction paths remain FP32. Model output therefore | |
| differs numerically from the original checkpoint. | |
| No upstream source code is included in this asset. The TypeGPU inference | |
| implementation is an independent implementation written for this project. | |
| This conversion was performed by Software Mansion S.A. as part of the TypeGPU | |
| project (https://github.com/software-mansion/TypeGPU). The converter and the | |
| exact reproduction command are in `tools/depthart` in that repository. | |
| Affiliation | |
| ----------- | |
| This is an unofficial conversion. It is not affiliated with, endorsed by, or | |
| sponsored by the DepthART authors or their institutions. References to | |
| DepthART herein are made for the sole purpose of identifying the upstream | |
| source of the model in accordance with Apache License 2.0 attribution | |
| requirements. | |