python文件处理-将图像根据坐标切割成若干小图

代码涉及到：遍历目标路径，选取csv后缀的文件，遍历csv每一行，读取坐标，用cv操作图片

# !/usr/bin/python
# -*- coding: UTF- -*-
import pandas as pd
import os
import time
import scipy.misc
from shutil import copyfile
from PIL import Image
import shutil

g_img = None

def saveToMysql(row):
    sides = [,,,,,,]
    img = g_img
    limit_x = img.shape[]
    limit_y = img.shape[]
    for side in sides:
        x1 = row.X - side
        x2 = row.X + side
        y1 = row.Y - side
        y2 = row.Y + side
        x1 = min(limit_x, max(, x1))
        x2 = max(x1+, min(limit_x, x2))
        y1 = min(limit_y, max(, y1))
        y2 = max(, min(limit_y, y2))
        t1 = int(time.time()*)
        cropped = img[y1:y2,x1:x2,:]
        t2 = int(time.time()*)
        #new_crop_parh = row.img + '_' + str(row.Type) + '_' + str(row.X) + '_' + str(row.Y) + '.png'
        new_crop_parh = 'img_crop/' + str(row.Type) + '/' + row.crop + '_' + str(row.X) + '_' + str(row.Y) + '_' + str(side) + '.png'
        scipy.misc.imsave(new_crop_parh , cropped)
        t3 = int(time.time()*)
 #       print("剩余时间：",(t3-t2)*//)

if __name__ == '__main__':
    for i in range(,):
        path = './img_crop/' + str(i)
        #if os.path.exists(path):
        #    shutil.rmtree(path+'/')
        #os.mkdir(path)

    for line in open("xae"):
        csvpath = line.strip('\n')
        if not csvpath or not os.path.exists(csvpath):
            print('not found: ' + csvpath)

        arr = csvpath.split('/')
        image = arr[].replace(".csv", ".JPG")
        medicalId=arr[]
        batchId=arr[]

        img_path = 'img/' + batchId + '/' + medicalId + '/Images/' + image
        #print(img_path)
        img_path_crop_path = batchId + '_' + medicalId + '_' + image

      #  print(csvpath)
        df = pd.read_csv(csvpath)
        #print(df)
        df['img'] = img_path
        df['crop'] = img_path_crop_path
        g_img = scipy.misc.imread(img_path)
        df.apply(saveToMysql, axis=)