对训练数据集进行数据增强代码

对训练数据集进行数据增强代码(离线)

原代码如下所示：

###
本代码共采用了四种数据增强，如采用其他数据增强方式，可以参考本代码，随意替换。
imageDir 为原数据集的存放位置
saveDir  为数据增强后数据的存放位置
###

def flip(root_path,img_name):   #翻转图像
    img = Image.open(os.path.join(root_path, img_name))
    filp_img = img.transpose(Image.FLIP_LEFT_RIGHT)
    # filp_img.save(os.path.join(root_path,img_name.split('.')[0] + '_flip.jpg'))
    return filp_img

def rotation(root_path, img_name):
    img = Image.open(os.path.join(root_path, img_name))
    rotation_img = img.rotate(20) #旋转角度
    # rotation_img.save(os.path.join(root_path,img_name.split('.')[0] + '_rotation.jpg'))
    return rotation_img

def randomColor(root_path, img_name): #随机颜色
    """
    对图像进行颜色抖动
    :param image: PIL的图像image
    :return: 有颜色色差的图像image
    """
    image = Image.open(os.path.join(root_path, img_name))
    random_factor = np.random.randint(0, 31) / 10.  # 随机因子
    color_image = ImageEnhance.Color(image).enhance(random_factor)  # 调整图像的饱和度
    random_factor = np.random.randint(10, 21) / 10.  # 随机因子
    brightness_image = ImageEnhance.Brightness(color_image).enhance(random_factor)  # 调整图像的亮度
    random_factor = np.random.randint(10, 21) / 10.  # 随机因子
    contrast_image = ImageEnhance.Contrast(brightness_image).enhance(random_factor)  # 调整图像对比度
    random_factor = np.random.randint(0, 31) / 10.  # 随机因子
    return ImageEnhance.Sharpness(contrast_image).enhance(random_factor)  # 调整图像锐度


def contrastEnhancement(root_path, img_name):  # 对比度增强
    image = Image.open(os.path.join(root_path, img_name))
    enh_con = ImageEnhance.Contrast(image)
    contrast = 1.5
    image_contrasted = enh_con.enhance(contrast)
    return image_contrasted

def brightnessEnhancement(root_path,img_name):#亮度增强
    image = Image.open(os.path.join(root_path, img_name))
    enh_bri = ImageEnhance.Brightness(image)
    brightness = 1.5
    image_brightened = enh_bri.enhance(brightness)
    return image_brightened

def colorEnhancement(root_path,img_name):#颜色增强
    image = Image.open(os.path.join(root_path, img_name))
    enh_col = ImageEnhance.Color(image)
    color = 1.5
    image_colored = enh_col.enhance(color)
    return image_colored

from PIL import Image
from PIL import ImageEnhance
import os
import cv2
import numpy as np
imageDir="/home/admin324/PycharmProjects/data/UC/train"     #要改变的图片的路径文件夹
saveDir="/home/admin324/PycharmProjects/data/UC/train_aug"   #要保存的图片的路径文件夹

for name in os.listdir(imageDir):

    saveName= name[:-4]+"id.jpg"
    image = Image.open(os.path.join(imageDir, name))
    image.save(os.path.join(saveDir,saveName))

    saveName= name[:-4]+"be.jpg"
    saveImage=brightnessEnhancement(imageDir,name)
    saveImage.save(os.path.join(saveDir,saveName))

    saveName= name[:-4]+"fl.jpg"
    saveImage=flip(imageDir,name)
    saveImage.save(os.path.join(saveDir,saveName))

    saveName= name[:-4]+"ro.jpg"
    saveImage=rotation(imageDir,name)
    saveImage.save(os.path.join(saveDir,saveName))