File size: 2,549 Bytes
7d69c85 7e17d64 7d69c85 7e17d64 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | # Licenses
This repository mirrors third-party models. Each file remains under its
upstream license, reproduced/linked below. Arca claims no ownership of any
model here.
## arcface.onnx — Apache-2.0
Source: <https://github.com/onnx/models/tree/main/validated/vision/body_analysis/arcface>
(`arcfaceresnet100-8.onnx`), from the ONNX Model Zoo. ArcFace is by Deng et al.
Licensed Apache-2.0 per the model's directory in the ONNX Model Zoo.
## clip-vit-b32-image.onnx / clip-vit-b32-text.onnx — MIT
Sources: <https://huggingface.co/Qdrant/clip-ViT-B-32-vision> and
<https://huggingface.co/Qdrant/clip-ViT-B-32-text>. ONNX exports of OpenAI's
CLIP ViT-B/32. Both upstream repos declare `license: mit`. Original CLIP is by
OpenAI, released under MIT.
## bpe_simple_vocab_16e6.txt.gz — MIT
Source: <https://github.com/openai/CLIP> (`clip/bpe_simple_vocab_16e6.txt.gz`).
OpenAI's CLIP repository is MIT-licensed.
---
## Deliberately NOT hosted here
**Ultralytics YOLO** — v5, v8, v11 and the wider family — is **AGPL-3.0**. AGPL
requires that a larger work embedding these weights be released in full under
AGPL-3.0, or that the user hold an Ultralytics Enterprise License. Arca is
closed-source, so these weights are neither shipped nor mirrored. See
<https://www.ultralytics.com/license>.
Two things worth stating plainly, because both are easy to get wrong:
- **Putting the feature behind a paywall does not help.** AGPL triggers on
*distribution*, regardless of whether the recipient paid.
- **Wrapping it in a service does not launder it.** CodeProject.AI's
object-detection module is itself AGPL-3.0 and built on Ultralytics; reaching
the same weights over HTTP carries the same obligation. If anything AGPL is
stricter about network use — that is what the extra "A" is for.
If Arca ever needs object detection, the model must be Apache-2.0 (YOLOX from
Megvii, RT-DETR, or RTMDet — note YOLOX shares the "YOLO" name with Ultralytics
but is an unrelated lineage and a different license).
## Previously hosted, removed
- **`yunet.onnx`** — MIT, from
[opencv/opencv_zoo](https://github.com/opencv/opencv_zoo/tree/main/models/face_detection_yunet)
(`face_detection_yunet_2023mar.onnx`), by Shiqi Yu and Wei Wu. Removed: Arca
detects faces with the OS `FaceDetector`, so it was never loaded.
- **`yolox_tiny.onnx`** — Apache-2.0, the official `0.1.1rc0` export from
[Megvii-BaseDetection/YOLOX](https://github.com/Megvii-BaseDetection/YOLOX).
Removed: mirrored ahead of a feature that doesn't exist yet.
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