import cv2
import numpy as np
import matplotlib.pyplot as plt  
from random import randrange
import os
import datetime
import re
 
def change_size(read_file):          #明确图像尺寸 
    image=cv2.imread(read_file,1) #读取图片 image_name应该是变量
    b=cv2.threshold(image,15,255,cv2.THRESH_BINARY)          #调整裁剪效果
    binary_image=b[1]                     #二值图--具有三通道
    binary_image=cv2.cvtColor(binary_image,cv2.COLOR_BGR2GRAY)
    print(binary_image.shape)         #改为单通道
 
    x=binary_image.shape[0]        
    print("高度x=",x)
    y=binary_image.shape[1]
    print("宽度y=",y)
    edges_x=[]
    edges_y=[]
 
    for i in range(x):
        
        for j in range(y):
 
            if binary_image[i] and [j]==255:
                print("横坐标",i)
                print("纵坐标",j)
    edges_x.append(i)
    edges_y.append(j)
 
    left=min(edges_x)               #左边界
    right=max(edges_x)              #右边界
    width=right-left                    #宽度
 
    bottom=min(edges_y)             #底部
    top=max(edges_y)                #顶部
    height=top-bottom               #高度
 
    pre1_picture=image[left:left+width,bottom:bottom+height]        #图片截取
 
    return pre1_picture                                                    #返回图片数据
 
source_path=r'C:\\Users\\Administrator\\Desktop\\1'                     #图片来源路径
save_path=r'C:\\Users\\Administrator\\Desktop\\2\\'                        #图片修改后的保存路径
 
if not os.path.exists(save_path):
    os.mkdir(save_path)
 
file_names=os.listdir(source_path)
 
starttime=datetime.datetime.now()
for i in range(len(file_names)):
    #x=change_size(source_path + file_names[i])       #得到文件名
    cv2.imwrite(save_path+file_names[i],i)
print("裁剪：",file_names[i])
print("裁剪数量:",i+1)
while(i==2600):
    break
 
 
print("裁剪完毕")
endtime = datetime.datetime.now()#记录结束时间
endtime = (endtime-starttime).seconds
print("裁剪总用时",endtime)