File size: 2,033 Bytes
dc02246 ae356f7 b0b9fb5 17079a2 7ed3349 17079a2 8ec0e5d 696ac7c 7788541 696ac7c 7788541 696ac7c d49de4a |
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 |
---
license: apache-2.0
---
This will work on Python3.13.1x...unfirtunately, but it can't work perfectly.
Update 24.10.2025
It can't work on ComfyUI_LayerStyle_Advance unfortunately...however it works on Insptre-Pack.
Updated 16.11.2025
Uploaded an another built version "uncomplete-mediapipe-v1-0.10.21-cp313-cp313-win_amd64.whl", but it can't work perfectly.
However, it works on Reactor at least. I uploaded it only for mediapipe.
But newest Reactor for ComfyUI&A1111 can work without mediapipe.
---
## 📌 About the ProtectAI “LiteRT Model Contains Unknown Operators” Warning
This repository provides a custom-built Mediapipe wheel (Python 3.13, Windows), compiled directly from the official Mediapipe source code.
Some security scanners—including **ProtectAI Guardian**—may display the warning:
**“LiteRT Model Contains Unknown Operators”**
This warning is **not an actual security issue**.
It occurs **because Mediapipe internally contains TensorFlow Lite (LiteRT) models** such as:
* `*.tflite` models
* FlatBuffer-based graph definitions
* Custom operators required by Mediapipe tasks
TensorFlow Lite uses several **custom operations (Custom Ops)** that are not part of the minimal LiteRT operator set.
ProtectAI flags these custom ops as “unknown,” even though they are:
* **Official Mediapipe components**
* **Required for normal operation**
* **Safe and expected in any Mediapipe build**
This is a **false positive** caused by how LiteRT models are analyzed.
There is **no malicious code**, no dynamic execution payloads, and no non-standard behavior in this wheel.
### ✔ Summary
* The warning is normal for any Mediapipe build.
* Custom TFLite operators are officially used by Mediapipe.
* The wheel is built from the unmodified upstream source.
* There is **no security risk** and the warning can be safely ignored.
If additional verification is needed, users may inspect the wheel’s contents or FlatBuffer schemas, but the presence of TFLite custom ops is expected by design.
|