import numpy as np
import cv2
import random
import copy


# 噪点增加
def add_noise(cls,img):
    for i in range(20): #添加点噪声
        temp_x = np.random.randint(0,img.shape[0])
        temp_y = np.random.randint(0,img.shape[1])
        img[temp_x][temp_y] = 255
    return img

# 适当腐蚀
def add_erode(cls,img):
    kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(3, 3))
    img = cv2.erode(img,kernel)
    return img

# 适当膨胀
def add_dilate(cls,img):
    kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(3, 3))
    img = cv2.dilate(img,kernel)
    return img

# 随机扰动
def do(self,img_list=[]):
    aug_list= copy.deepcopy(img_list)
    for i in range(len(img_list)):
        im = img_list[i]
        if self.noise and random.random()<0.5:
            im = self.add_noise(im)
        if self.dilate and random.random()<0.25:
            im = self.add_dilate(im)
        if self.erode and random.random()<0.25:
            im = self.add_erode(im)
        aug_list.append(im)
    return aug_list