From 7f458bab6eca4fc15945f03501c62f0cc5206b3c Mon Sep 17 00:00:00 2001 From: NathanUA Date: Sat, 6 Feb 2021 20:37:27 -0700 Subject: [PATCH] human seg --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 25c7e46..472b333 100644 --- a/README.md +++ b/README.md @@ -19,7 +19,7 @@ __Contact__: xuebin[at]ualberta[dot]ca (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/```.
(3) Run the inference by command: ```python u2net_human_seg_test.py``` and the results will be output into the corresponding dirctory, e.g. ```./test_data/u2net_test_human_images_results/```
-[**Notes: Due to the labeling accuracy of the Supervisely Person Dataset, the human segmentation model here won't give you hair level accuracy. But it should be more robust than u2net trained with DUTS-TR dataset on human segmentation task. It can be used for human portrait segmentation, human body segmentation, etc.**](https://github.com/NathanUA/U-2-Net)
+[**Notes: Due to the labeling accuracy of the Supervisely Person Dataset, the human segmentation model (u2net_human_seg.pth) here won't give you hair-level accuracy. But it should be more robust than u2net trained with DUTS-TR dataset on general human segmentation task. It can be used for human portrait segmentation, human body segmentation, etc.**](https://github.com/NathanUA/U-2-Net)
![Human Image Segmentation](figures/human_seg.png)
![Human Video](figures/human_seg_video.gif)