simplifier2.py 文件源码

def read_img(path, s_size):
    image1 = cv2.imread(path, cv2.IMREAD_GRAYSCALE)

    if image1.shape[0] < image1.shape[1]:
        s0 = s_size
        s1 = int(image1.shape[1] * (s_size / image1.shape[0]))
        s1 = s1 - s1 % 16
    else:
        s1 = s_size
        s0 = int(image1.shape[0] * (s_size / image1.shape[1]))
        s0 = s0 - s0 % 16

    image1 = np.asarray(image1, np.float32)
    image1 = cv2.resize(image1, (s1, s0), interpolation=cv2.INTER_AREA)

    if image1.ndim == 2:
        image1 = image1[:, :, np.newaxis]

    return image1.transpose(2, 0, 1), False