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Jia Guo
2023-04-23 23:06:48 +08:00
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examples/in_swapper/README.md
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# InsightFace Swapper
## Update
Please use our discord web demo instead. This python example is temporarily removed.
In this example, we provide one-line simple code for subject agnostic identity transfer from source face to the target face.
The input and output resolution of this tool is 128x128, which is obviously smaller than our [online demo](http://demo.insightface.ai:7009/).
The network size and computation complexity are both very large, so do not use it in any product, but for academic purposes instead.
The input and output resolution of this tool is 128x128.
## Usage
@@ -15,7 +18,7 @@ Firstly install insightface python library, with version>=0.7:
pip install -U insightface
```
Second, download the `inswapper_128.onnx` swapping model from [googledrive](https://drive.google.com/file/d/1GW7Q41Uk4H30wVFL2Tl4Kl8MWIV4fVFC/view?usp=share_link) and put it under `~/.insightface/models/`.
Second, download the `inswapper_128.onnx` swapping model from [googledrive]() and put it under `~/.insightface/models/`.
Then use the recognition model from our `buffalo_l` pack and initialize the INSwapper class.