实战二十三：基于卷积神经网络的苹果病虫害图像检测 完整代码数据

代码讲解：农业病虫害识别-基于多层卷积神经网络38类病虫害识别 完整代码数据_哔哩哔哩_bilibili

数据展示：

 

 

from keras.preprocessing.image import ImageDataGenerator, load_img, img_to_array, array_to_img
from keras.models import Sequential
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import Activation, Dropout, Flatten, Dense
from keras import backend as K
import numpy as np
import matplotlib.pyplot as plt
import glob, os, random
path = 'augmented'
os.path.join(path, '*/*.*')
# 使用 glob 模块批量匹配图像, * 代表匹配所有东西