标签:jpg osi from get 对象 pre int return nbsp
from PIL import Image import math #移动一个像素点 def rorate(i, j, width, height): #给出sin90°和cos90°的值 sin = math.sin(math.pi * 90 / 180) cos = math.cos(math.pi * 90 / 180) #对左上角坐标系的点,求出其在中心坐标系的坐标 x = i - 0.5 * width y = 0.5 * height - j #求中心坐标系顺时针旋转90°后的坐标 r_x = x * cos + y * sin r_y = y * cos - x * sin #换算成左上角坐标系的坐标 i = r_x + 0.5 * height j = 0.5 * width - r_y i = int(i) j = int(j) return (i - 1, j) # print(rorate(0 ,0, 111, 120)) def rorate_left(image): """ image 是一个 Image 对象 返回一个全新图像,它是 image 左转 90 度后的图像 """ img1 = Image.open(image) img_size = img1.size width = img_size[0] height = img_size[1] img2 = Image.new(‘RGB‘, (height, width)) position = (0,0) for i in range(width): for j in range(height): color = img1.getpixel((i, j)) position_x = j position_y = width - i - 1 img2.putpixel((position_x, position_y), color) img2.save(‘a2.jpg‘) # rorate_left(‘a.jpg‘) def rorate_right(image): """ image 是一个 Image 对象 返回一个全新图像,它是 image 右转 90 度后的图像 """ img1 = rorate_left(image) img2 = rorate_left(‘a2.jpg‘) img3 = rorate_left(‘a2.jpg‘) rorate_right(‘a.jpg‘) def rorate_180(image): """ image 是一个 Image 对象 返回一个全新图像,它是 image 旋转 180 度后的图像 """ img1 = rorate_left(image) img2 = rorate_left(img1) img2.save(‘a4.jpg‘) # rorate_180(‘a.jpg‘)
标签:jpg osi from get 对象 pre int return nbsp
原文地址:https://www.cnblogs.com/bladeofstalin/p/9261552.html