From a3574192c8e1140eacf1fb65e18c1bec04b5287e Mon Sep 17 00:00:00 2001 From: MengzhangLI Date: Tue, 7 Dec 2021 15:51:18 +0800 Subject: [PATCH] [Fix] Fix MMHuman3D description and BiSeNetV2 FP16 hyperlink (#1111) * fix mmhuman3d readme * fix mmhuman3d readme --- README.md | 2 +- docs/model_zoo.md | 2 +- docs_zh-CN/model_zoo.md | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 63a576f59..a7bd9ad7d 100644 --- a/README.md +++ b/README.md @@ -169,4 +169,4 @@ and develop their own new semantic segmentation methods. - [MIM](https://github.com/open-mmlab/mim): MIM Installs OpenMMLab Packages. - [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab optical flow toolbox and benchmark. - [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab few shot learning toolbox and benchmark. -- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab Human Pose and Shape Estimation Toolbox and Benchmark. +- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 3D human parametric model toolbox and benchmark. diff --git a/docs/model_zoo.md b/docs/model_zoo.md index ce23b5367..e6498ad4a 100644 --- a/docs/model_zoo.md +++ b/docs/model_zoo.md @@ -129,7 +129,7 @@ Please refer to [CGNet](https://github.com/open-mmlab/mmsegmentation/blob/master ### Mixed Precision (FP16) Training -Please refer [Mixed Precision (FP16) Training] on BiSeNetV2 (https://github.com/open-mmlab/mmsegmentation/blob/master/configs/bisenetv2/bisenetv2_fcn_fp16_4x4_1024x1024_160k_cityscapes.py) for details. +Please refer [Mixed Precision (FP16) Training on BiSeNetV2](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/bisenetv2/bisenetv2_fcn_fp16_4x4_1024x1024_160k_cityscapes.py) for details. ### U-Net diff --git a/docs_zh-CN/model_zoo.md b/docs_zh-CN/model_zoo.md index a165865c8..62b8e860b 100644 --- a/docs_zh-CN/model_zoo.md +++ b/docs_zh-CN/model_zoo.md @@ -119,7 +119,7 @@ ### Mixed Precision (FP16) Training -请参考 [Mixed Precision (FP16) Training] 在 BiSeNetV2 训练的样例 (https://github.com/open-mmlab/mmsegmentation/blob/master/configs/bisenetv2/bisenetv2_fcn_fp16_4x4_1024x1024_160k_cityscapes.py) for details. +请参考 [Mixed Precision (FP16) Training 在 BiSeNetV2 训练的样例](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/bisenetv2/bisenetv2_fcn_fp16_4x4_1024x1024_160k_cityscapes.py) for details. ## 速度标定