update

README-en.md

@@ -1,6 +1,6 @@
 # ISAT with segment anything
-# Image segmentation annotation tool with segment anything.
-[标注.gif](./display/标注%20-big-original.gif)
+## Image segmentation annotation tool with segment anything.
+![annotate.gif](./display/标注%20-big-original.gif)
 
 Quick annotate for image segmentation by [segment anything](https://github.com/facebookresearch/segment-anything)
 
@@ -13,15 +13,15 @@ Demo Video：[youtube](https://www.youtube.com/watch?v=yLdZCPmX-Bc)
 [中文](README.md)         [English](README-en.md)
 
 
-## INSTALL
-### 1. Run the source code
-#### (1) Create environment
+# INSTALL
+## 1. Run the source code
+### (1) Create environment
 ```shell
 conda create -n ISAT_with_segment_anything python==3.8
 conda activate ISAT_with_segment_anything
 ```
 
-#### (2) Install Segment anything
+### (2) Install Segment anything
 ```shell
 git clone git@github.com:facebookresearch/segment-anything.git
 cd segment-anything
@@ -29,14 +29,14 @@ pip install -e .
 cd ..
 ```
 
-#### (3) Install ISAT_with_segment_anything
+### (3) Install ISAT_with_segment_anything
 ```shell
 git clone https://github.com/yatengLG/ISAT_with_segment_anything.git
 cd ISAT_with_segment_anything
 pip install -r requirements.txt
 ```
 
-#### (4) Download Segment anything pretrained checkpoint.
+### (4) Download Segment anything pretrained checkpoint.
 
 Download the checkpoint，and save in the path: ISAT_with_segment_anything/segment_any
 - H-checkpoint:[sam_vit_h_4b8939.pth](https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth)
@@ -49,7 +49,7 @@ Download the checkpoint，and save in the path: ISAT_with_segment_anything/segme
     
     B checkpoint has pool effect, but need less resources.VRAM needs at least 6G.
 
-#### (5) Run
+### (5) Run
 ```shell
 python main.py
 ```

README.md

@@ -1,6 +1,7 @@
 # ISAT with segment anything
-# ISAT 图像分割标注工具(集成segment anything)
-[标注.gif](./display/标注%20-big-original.gif)
+## ISAT 图像分割标注工具(集成segment anything)
+
+![标注.gif](./display/标注%20-big-original.gif)
 
 集成[segment anything](https://github.com/facebookresearch/segment-anything)，实现图片分割快速标注。
 
@@ -11,7 +12,7 @@
 Demo Video：[youtube](https://www.youtube.com/watch?v=yLdZCPmX-Bc)
 
 [中文](README.md)         [English](README-en.md)
-## 特点
+# 特点
 1. 集成segment anything，快速进行图像分割标注
 
    - 通过鼠标左右键提示感兴趣区域，调用segment anything自动计算分割掩码。不必再手动进行目标轮廓选取。
@@ -22,27 +23,27 @@ Demo Video：[youtube](https://www.youtube.com/watch?v=yLdZCPmX-Bc)
    - 保留了ISAT手动绘制多边形进行标注的功能，可满足Segment anything无法分割目标的标注。
    - 手动标注较自动标注更加精确，但工作量也更大。
    
-## 安装
-### 1. 源码运行
-#### (1) 创建虚拟环境
+# 安装
+## 1. 源码运行
+### (1) 创建虚拟环境
 ```shell
 conda create -n ISAT_with_segment_anything python==3.8
 conda activate ISAT_with_segment_anything
 ```
-#### (2) 安装Segment anything
+### (2) 安装Segment anything
 ```shell
 git clone git@github.com:facebookresearch/segment-anything.git
 cd segment-anything
 pip install -e .
 cd ..
 ```
-#### (3) 安装ISAT_with_segment_anything
+### (3) 安装ISAT_with_segment_anything
 ```shell
 git clone https://github.com/yatengLG/ISAT_with_segment_anything.git
 cd ISAT_with_segment_anything
 pip install -r requirements.txt
 ```
-#### (4) 下载Segment anything预训练模型
+### (4) 下载Segment anything预训练模型
 下载任一模型，并将模型存放于ISAT_with_segment_anything/segment_any目录下
 请按照硬件下载合适的模型.
 
@@ -56,20 +57,20 @@ pip install -r requirements.txt
     
     模型最小，效果也最差，显存至少需求6G，演示时软件实际占用4149M；
 
-#### (5) 运行软件
+### (5) 运行软件
 ```shell
 python main.py
 ```
 
 
-## 标注操作
+# 标注操作
 
 1. 通过鼠标左键（或右键）提示感兴趣区域（或不感兴趣区域），自动形成目标分割掩码。
 2. 可通过多次左右键提示，提升掩码质量。
 3. E键结束标注，选择类别，得到多边形标注区域。
 4. 拖拽多边形顶点，精细化调整标注。
 
-## 注意事项
+# 注意事项
 1. 自动分割效果受segment anything模型分割效果限制，如需更为精确的分割效果，可通过手动绘制多边形实现。
 2. 如果没有GPU或只需要使用手动绘制多边形标注，推荐使用[ISAT](https://github.com/yatengLG/ISAT)。
 3. 软件对GPU显存有最低限制：