import cv2
img = cv2.imread('libarary.JPG', 1)
dst = img[350:650,550:800] #这里选取矩形区域X:550-800 Y:350-650
#cv2.imshow('image',dst)
#cv2.waitKey(0)
以下会在jupyterLab控件中显示两种压缩后的图像对比显示
#bgr8转jpeg格式
import enum
import cv2
def bgr8_to_jpeg(value, quality=75):
return bytes(cv2.imencode('.jpg', value)[1])
import ipywidgets.widgets as widgets
image_widget1 = widgets.Image(format='jpg', )
image_widget2 = widgets.Image(format='jpg', )
# display the container in this cell's output
display(image_widget1)
display(image_widget2)
img1 = cv2.imread('libarary.JPG',1)
image_widget1.value = bgr8_to_jpeg(img1) #原始图像
image_widget2.value = bgr8_to_jpeg(dst) #剪切的图像