用了两种方法保存图片，opencv和Image，实践证明opencv非常快

from PIL import Image
import os
import cv2
import time
import matplotlib.pyplot as plt
def label2picture(cropImg,framenum,tracker):
  pathnew ="E:\\img2\\"
  # cv2.imshow("image", cropImg)
  # cv2.waitKey(1)
  if (os.path.exists(pathnew + tracker)):
    cv2.imwrite(pathnew + tracker+'\\'+framenum + '.jpg', cropImg,[int(cv2.IMWRITE_JPEG_QUALITY), 100])

  else:
    os.makedirs(pathnew + tracker)
    cv2.imwrite(pathnew + tracker+'\\'+framenum + '.jpg', cropImg,[int(cv2.IMWRITE_JPEG_QUALITY), 100])

f = open("E:\\hypotheses.txt","r")
lines = f.readlines()
for line in lines:
  li = line.split(',')
  print(li[0],li[1],li[2],li[3],li[4],li[5])
  filename = li[0]+'.jpg'
  img = cv2.imread("E:\\DeeCamp\\img1\\" + filename)
  crop_img = img[int(li[3][:-3]):(int(li[3][:-3]) + int(li[5][:-3])),
        int(li[2][:-3]):(int(li[2][:-3]) + int(li[4][:-3]))]
  # print(int(li[2][:-3]),int(li[3][:-3]),int(li[4][:-3]),int(li[5][:-3]))
  label2picture(crop_img, li[0], li[1])
# #
# x,y,w,h = 87,158,109,222
# img = cv2.imread("E:\\DeeCamp\\img1\\1606.jpg")
# # print(img.shape)
# crop = img[y:(h+y),x:(w+x)]
# cv2.imshow("image", crop)
# cv2.waitKey(0)
# img = Image.open("E:\\DeeCamp\\img1\\3217.jpg")
#
# cropImg = img.crop((x,y,x+w,y+h))
# cropImg.show()
  # img = Image.open("E:\\deep_sort-master\\MOT16\\train\\try1\\img1\\"+filename)
  # print(int(li[2][:-3]),(int(li[2][:-3])+int(li[4][:-3])), int(li[3][:-3]),(int(li[3][:-3])+int(li[5][:-3])))

  # #裁切图片
  # # cropImg = img.crop(region)
  # # cropImg.show()
  # framenum ,tracker= li[0],li[1]
  # pathnew = 'E:\\DeeCamp\\deecamp项目\\deep_sort-master\\crop_picture\\'
  # if (os.path.exists(pathnew + tracker)):
  #   # 保存裁切后的图片
  #   plt.imshow(cropImg)
  #   plt.savefig(pathnew + tracker+'\\'+framenum + '.jpg')
  # else:
  #   os.makedirs(pathnew + tracker)
  #   plt.imshow(cropImg)
  #   plt.savefig(pathnew + tracker+'\\'+framenum + '.jpg')

补充知识：python实现固定区域截图，实现录屏截图

1、实现固定区域截图及保存

如果不设置区域默认是全屏保存

from PIL import ImageGrab

# 参数说明
# 第一个参数 开始截图的x坐标
# 第二个参数 开始截图的y坐标
# 第三个参数 结束截图的x坐标
# 第四个参数 结束截图的y坐标
bbox = (760, 0, 1160, 1080)
im = ImageGrab.grab(bbox)

# 参数 保存截图文件的路径
im.save('zy.png')

2、实现屏幕的视频录制

可以用上面程序的bbox设置一下录屏区域

from time import sleep
from PIL import ImageGrab

m=int(input("输入录屏几分钟："))
m=m*60
n=1
while n<m:
  sleep(0.02)
  im=ImageGrab.grab()
  local=(r"%s.jpg"%(n))
  im.save(local,'jpeg')
  n=n+1

以上这篇python图片剪裁代码(图片按四个点坐标剪裁)就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持python博客。