From dae57fdf427448b7ae918c2bd20d0c6c3848d64a Mon Sep 17 00:00:00 2001 From: NathanUA Date: Sat, 6 Feb 2021 20:44:11 -0700 Subject: [PATCH] human seg --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 367fcdc..f2a29ee 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ __Contact__: xuebin[at]ualberta[dot]ca ## Updates !!! -**(2021-Feb-06)** Recently, some people asked the problem of using U^2-Net for human segmentation, we trained another example model for human segemntation based on [**Supervisely Person Dataset**](https://supervise.ly/explore/projects/supervisely-person-dataset-23304/datasets).
+**(2021-Feb-06)** Recently, some people asked the problem of using U^2-Net for human segmentation, so we trained another example model for human segemntation based on [**Supervisely Person Dataset**](https://supervise.ly/explore/projects/supervisely-person-dataset-23304/datasets).
(1) To run the human segmentation model, please first downlowd the [**u2net_human_seg.pth**](https://drive.google.com/file/d/1-Yg0cxgrNhHP-016FPdp902BR-kSsA4P/view?usp=sharing) model weights into ``` ./saved_models/u2net_human_seg/```.
(2) Prepare the to-be-segmented images into the corresponding directory, e.g. ```./test_data/test_human_images/```.