From b48d72e43facf51ac03489a865975c4e53f70345 Mon Sep 17 00:00:00 2001 From: MediaPipe Team Date: Thu, 3 Jun 2021 14:27:10 -0700 Subject: [PATCH] Project import generated by Copybara. GitOrigin-RevId: 1e221238b0bc717115c8152ad3092da3309a63a1 --- docs/solutions/selfie_segmentation.md | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/docs/solutions/selfie_segmentation.md b/docs/solutions/selfie_segmentation.md index 34f38a3a7..e00ce7bec 100644 --- a/docs/solutions/selfie_segmentation.md +++ b/docs/solutions/selfie_segmentation.md @@ -42,9 +42,12 @@ and therefore, runs faster. Note that MediaPipe Selfie Segmentation automatically resizes the input image to the desired tensor dimension before feeding it into the ML models. -The general model is also powering [ML Kit](https://developers.google.com/ml-kit/vision/selfie-segmentation), -and a variant of the landscape model is powering [Google Meet](https://ai.googleblog.com/2020/10/background-features-in-google-meet.html). -Please find more detail about the models in the [model card](./models.md#selfie_segmentation). +The general model is also powering +[ML Kit](https://developers.google.com/ml-kit/vision/selfie-segmentation), and a +variant of the landscape model is powering +[Google Meet](https://ai.googleblog.com/2020/10/background-features-in-google-meet.html). +Please find more detail about the models in the +[model card](./models.md#selfie-segmentation). ## ML Pipeline