# 裂缝分类

**Repository Path**: red_coated_leaves/classification-of-cracks

## Basic Information

- **Project Name**: 裂缝分类
- **Description**: No description available
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 2
- **Forks**: 0
- **Created**: 2020-10-05
- **Last Updated**: 2023-03-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 裂缝分类

#### 介绍
基于CNN的裂缝识别。可以识别裂缝的长度，宽度，面积和斜裂角度。
模型正确率97%

#### 软件架构
Tensorflow 2.3.0

Cuda 10


Model: "functional_1"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_1 (InputLayer)         [(None, 32, 32, 3)]       0         
_________________________________________________________________
conv2d (Conv2D)              (None, 32, 32, 32)        2432      
_________________________________________________________________
max_pooling2d (MaxPooling2D) (None, 16, 16, 32)        0         
_________________________________________________________________
conv2d_1 (Conv2D)            (None, 16, 16, 64)        51264     
_________________________________________________________________
max_pooling2d_1 (MaxPooling2 (None, 8, 8, 64)          0         
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 8, 8, 128)         73856     
_________________________________________________________________
max_pooling2d_2 (MaxPooling2 (None, 4, 4, 128)         0         
_________________________________________________________________
conv2d_3 (Conv2D)            (None, 4, 4, 128)         147584    
_________________________________________________________________
max_pooling2d_3 (MaxPooling2 (None, 2, 2, 128)         0         
_________________________________________________________________
dropout (Dropout)            (None, 2, 2, 128)         0         
_________________________________________________________________
flatten (Flatten)            (None, 512)               0         
_________________________________________________________________
dense (Dense)                (None, 128)               65664     
_________________________________________________________________
dense_1 (Dense)              (None, 64)                8256      
_________________________________________________________________
dense_2 (Dense)              (None, 32)                2080      
_________________________________________________________________
dense_3 (Dense)              (None, 1)                 33        


Total params: 351,169

Trainable params: 351,169

Non-trainable params: 0


#### 使用说明

1.  straight可以判断正裂缝
2.  oblique可以判断斜裂缝
3.  新增ui