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fix readme typo #2

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28 changes: 14 additions & 14 deletions readme.md
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ github：https://github.com/CVUsers/Auto_maker

### 目标检测模式

![1608460483759](Auto_maker_readme\1.png)
![1608460483759](Auto_maker_readme/1.png)

在我们运行Auto_maker 前，需要安装opencv的库：opencv-contrib-python 库

Expand Down Expand Up @@ -81,7 +81,7 @@ classes_list ：我们将所有的类别写进来，并



![1608462055629](Auto_maker_readme\2.png)
![1608462055629](Auto_maker_readme/2.png)

影像分类中，使用简单的固定ROI方式，在运行maker_classification.py 后我们可以轻松地按下s键保存图片~图片就会根据main中的类别名称保存到data/train/类别名/下面，如果是测试集，就在main中修改为test模式

Expand All @@ -104,35 +104,35 @@ parser.add_argument('--train_test', type=str, default='test', help='train/test')

github：https://github.com/CVUsers/Auto_maker

![1608466712852](Auto_maker_readme\3.png)
![1608466712852](Auto_maker_readme/3.png)

github图片



![1608466791841](Auto_maker_readme\demo1.png)
![1608466791841](Auto_maker_readme/demo1.png)

数据标注部分





![1608467114587](Auto_maker_readme\demo2.png)
![1608467114587](Auto_maker_readme/demo2.png)

​ 自动标注过程



![1608467265739](Auto_maker_readme\4.png)
![1608467265739](Auto_maker_readme/4.png)

​ 数据效果图

![1608467331409](Auto_maker_readme\5.png)
![1608467331409](Auto_maker_readme/5.png)

​ 标注文件集

![1608467378947](Auto_maker_readme\6.png)
![1608467378947](Auto_maker_readme/6.png)

### 训练出来的目标检测模型演示

Expand All @@ -146,9 +146,9 @@ github图片

模型已放在github上，轻量级模型，这两天会更新更高精度模型~

![1608467536580](Auto_maker_readme\9.png)
![1608467536580](Auto_maker_readme/9.png)

![1608467558431](Auto_maker_readme\8.png)
![1608467558431](Auto_maker_readme/8.png)

## 一键训练YOLOv3 YOLOv4 YOLOv5 方法

Expand Down Expand Up @@ -309,15 +309,15 @@ names: ['UsingPhone', 'LikePhone']



![1608469384253](Auto_maker_readme\10.png)
![1608469384253](Auto_maker_readme/10.png)

mAP和precision 和recall 如下，我的模型只训练了70次~ 我接下来会使用4w张图片训练完，来查看准确率，并且实际体验效果，然后我会放在我的github和公众号：70次效果也不错~



这是损失~

![1608469481705](Auto_maker_readme\11.png)
![1608469481705](Auto_maker_readme/11.png)

### 检测

Expand Down Expand Up @@ -956,7 +956,7 @@ if __name__ == '__main__':

效果图：

![1608470893189](Auto_maker_readme\12.png)
![1608470893189](Auto_maker_readme/12.png)

## 模型导出部分

Expand Down Expand Up @@ -1055,7 +1055,7 @@ github：https://github.com/CVUsers/Auto_maker
**公众号：DeepAi 视界**

二维码：
![1608470893189](Auto_maker_readme\13.jpg)
![1608470893189](Auto_maker_readme/13.jpg)



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16 changes: 8 additions & 8 deletions start.md
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@

### 目标检测模式

![1608460483759](Auto_maker_readme\1.png)
![1608460483759](Auto_maker_readme/1.png)

在我们运行Auto_maker 前，需要安装opencv的库：opencv-contrib-python 库

Expand Down Expand Up @@ -46,29 +46,29 @@ python get_images.py # 使用mix_up 模式一或多类别标注



![1608466791841](Auto_maker_readme\demo1.png)
![1608466791841](Auto_maker_readme/demo1.png)

数据标注部分





![1608467114587](Auto_maker_readme\demo2.png)
![1608467114587](Auto_maker_readme/demo2.png)

​ 自动标注过程



![1608467265739](Auto_maker_readme\4.png)
![1608467265739](Auto_maker_readme/4.png)

​ 数据效果图

![1608467331409](Auto_maker_readme\5.png)
![1608467331409](Auto_maker_readme/5.png)

​ 标注文件集

![1608467378947](Auto_maker_readme\6.png)
![1608467378947](Auto_maker_readme/6.png)

### 训练出来的目标检测模型演示

Expand All @@ -82,9 +82,9 @@ python get_images.py # 使用mix_up 模式一或多类别标注

模型已放在github上，轻量级模型，这两天会更新更高精度模型~

![1608467536580](Auto_maker_readme\9.png)
![1608467536580](Auto_maker_readme/9.png)

![1608467558431](Auto_maker_readme\8.png)
![1608467558431](Auto_maker_readme/8.png)



Expand Down