python放大按图片中心剪切、缩小

python放大并按图片中心剪切、放大

缩小	原始大小	放大并剪切后

放大

img=crop_image(cv2.resize(img, None, fx=1, fy=1, interpolation=cv2.INTER_CUBIC),new_height,new_width)

缩小

mini= cv2.resize(cv2.copyMakeBorder(img, P_A, P_A, P_A, P_A, cv2.BORDER_REPLICATE), (150, 150))

源码

其中有将矩阵转Image、Image转矩阵两个过程。

def crop_image(re_img,new_height,new_width):
    re_img=Image.fromarray(np.uint8(re_img))
    width, height = re_img.size
    left = (width - new_width)/2
    top = (height - new_height)/2
    right = (width + new_width)/2
    bottom = (height + new_height)/2
    crop_im = re_img.crop((left, top, right, bottom)) #Cropping Image
    crop_im = np.asarray(crop_im)
    return crop_im

new_width = 150     #Enter the crop image width
new_height = 150    #Enter the crop image height

img = cv2.imread("learn/cats/cat.3.jpg")
img=cv2.resize(img,(150,150))
P_A=50
img=crop_image(cv2.resize(img, None, fx=1, fy=1, interpolation=cv2.INTER_CUBIC),new_height,new_width)

plt.imshow(img)
plt.title('cat')
plt.show()