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2. Image cutting

2. Image cutting2.1. Image cutting2.2. Actual effect display

2.1. Image cutting

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.

2.2. Actual effect display

Code path:

/home/pi/project_demo/06.Open_source_cv_fundamentals_course/B.Geometric_Transformations/02_Image_Cropping.ipynb


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import cv2
img = cv2.imread('yahboom.jpg', 1)

dst = img[500:700,300:500] #Here we select a rectangular area X: 300-500 Y: 500-700

#cv2.imshow('image',dst)

#cv2.waitKey(0)


x
#bgr8 to jpeg format bgr8 to jpeg format
import enum
import cv2

def bgr8_to_jpeg(value, quality=75): return bytes(cv2.imencode('.jpg', value)[1]) ``` ```python 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 The original image image_widget2.value = bgr8_to_jpeg(dst) #Cropped image cropped image ``` ![](62o.png)

Image scaling

Image translation