From c30c0e66e9050e10e18a0acda943e7cae6ef5164 Mon Sep 17 00:00:00 2001 From: Jia Guo Date: Sun, 23 Apr 2023 23:06:48 +0800 Subject: [PATCH] Update README.md --- examples/in_swapper/README.md | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/examples/in_swapper/README.md b/examples/in_swapper/README.md index 25b0da7..bd4ec10 100644 --- a/examples/in_swapper/README.md +++ b/examples/in_swapper/README.md @@ -1,10 +1,13 @@ # 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.