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7.Picture cut

Image cutting first reads the image, and then obtains the pixel area in the array. In the following code, select the shape area X: 300-500 Y: 500-700. Note that the image size is 800*800, so the selected area should not exceed this resolution.

Code path：/home/yahboom/Dofbot/4.opencv/02_OpenCV Transform/02Picture clipping.ipynb

​x
import cv2
img = cv2.imread('yahboom.jpg',   1)
dst =   img[500:700,300:500]  #Here select the rectangular area X：300-500    Y：500-700
#cv2.imshow('image',dst)

#cv2.waitKey(0)

The following will display two compressed image comparison displays in the jupyterLab control.

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#bgr8 to jpeg format
import enum
import cv2
def   bgr8_to_jpeg(value, quality=75):
    return bytes(cv2.imencode('.jpg',   value)[1])

Below are the before and after comparison images:

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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('yahboom.jpg',1)

image_widget1.value   = bgr8_to_jpeg(img1)  #original image
image_widget2.value   = bgr8_to_jpeg(dst)   #cut image

After the program is finished running, you can see that some parts have been cut out.