<reponame>ibegyourpardon/pyimgcook<gh_stars>0
from PIL import Image, ImageFont, ImageDraw, ImageFilter
from io import BytesIO


def resize_img(img):
    """
    重新剪裁图片尺寸
    :param img:
    :return: Image对象
    """
    (x, y) = img.size  # read image size
    x_s = 250  # define standard width
    y_s = int(y * x_s / x)  # calc height based on standard width
    out = img.resize((x_s, y_s), Image.ANTIALIAS)  # resize image with high-quality
    return out


def cut_square_to_circle(img):
    """
    将正方形图片切割成圆形
    :param img对象
    :return: img对象
    """
    ima = img
    size = ima.size
    print(size)
    # 因为是要圆形，所以需要正方形的图片
    r2 = min(size[0], size[1])
    if size[0] != size[1]:
        ima = ima.resize((r2, r2), Image.ANTIALIAS)
    # 最后生成圆的半径
    r3 = int(r2 / 2)
    imb = Image.new('RGBA', (r3 * 2, r3 * 2), (255, 255, 255, 0))
    pima = ima.load()  # 像素的访问对象
    pimb = imb.load()
    r = float(r2 / 2)  # 圆心横坐标

    for i in range(r2):
        for j in range(r2):
            lx = abs(i - r)  # 到圆心距离的横坐标
            ly = abs(j - r)  # 到圆心距离的纵坐标
            l = (pow(lx, 2) + pow(ly, 2)) ** 0.5  # 三角函数 半径
            if l < r3:
                pimb[i - (r - r3), j - (r - r3)] = pima[i, j]
    return imb
from PIL import Image, ImageFont, ImageDraw, ImageFilter
from io import BytesIO


def resize_img(img):
    """
    重新剪裁图片尺寸
    :param img:
    :return: Image对象
    """
    (x, y) = img.size  # read image size
    x_s = 250  # define standard width
    y_s = int(y * x_s / x)  # calc height based on standard width
    out = img.resize((x_s, y_s), Image.ANTIALIAS)  # resize image with high-quality
    return out


def cut_square_to_circle(img):
    """
    将正方形图片切割成圆形
    :param img对象
    :return: img对象
    """
    ima = img
    size = ima.size
    print(size)
    # 因为是要圆形，所以需要正方形的图片
    r2 = min(size[0], size[1])
    if size[0] != size[1]:
        ima = ima.resize((r2, r2), Image.ANTIALIAS)
    # 最后生成圆的半径
    r3 = int(r2 / 2)
    imb = Image.new('RGBA', (r3 * 2, r3 * 2), (255, 255, 255, 0))
    pima = ima.load()  # 像素的访问对象
    pimb = imb.load()
    r = float(r2 / 2)  # 圆心横坐标

    for i in range(r2):
        for j in range(r2):
            lx = abs(i - r)  # 到圆心距离的横坐标
            ly = abs(j - r)  # 到圆心距离的纵坐标
            l = (pow(lx, 2) + pow(ly, 2)) ** 0.5  # 三角函数 半径
            if l < r3:
                pimb[i - (r - r3), j - (r - r3)] = pima[i, j]
    return imb
重新剪裁图片尺寸
     :param img:
     :return: Image对象 # read image size # define standard width # calc height based on standard width # resize image with high-quality 将正方形图片切割成圆形
     :param img对象
     :return: img对象 # 因为是要圆形，所以需要正方形的图片 # 最后生成圆的半径 # 像素的访问对象 # 圆心横坐标 # 到圆心距离的横坐标 # 到圆心距离的纵坐标 # 三角函数 半径