Python Image 模块，AFFINE 实例源码

def ScaleRotateTranslate(image, angle, center = None, new_center = None, scale = None, resample=Image.BICUBIC):
  if (scale is None) and (center is None):
    return image.rotate(angle=angle, resample=resample)
  nx,ny = x,y = center
  sx=sy=1.0
  if new_center:
    (nx,ny) = new_center
  if scale:
    (sx,sy) = (scale, scale)
  cosine = math.cos(angle)
  sine = math.sin(angle)
  a = cosine/sx
  b = sine/sx
  c = x-nx*a-ny*b
  d = -sine/sy
  e = cosine/sy
  f = y-nx*d-ny*e
  return image.transform(image.size, Image.AFFINE, (a,b,c,d,e,f), resample=resample)

def get_image_src2():
    filename = "test.png"

    image0 = Image.open(filename)
    image1 = Image.open(filename)

    datas = image0.getdata()
    newdata = []

    for item in datas:
        if item[0] == 0 and item[1] == 0 and item[2] == 0: # Black -> White
            newdata.append((255, 255, 255))
        else:
            newdata.append((0, 0, 0))

    image0.putdata(newdata)

    image0.save("st1.png")

    image1 = image0.crop(image1.getbbox())
    image1.save("step3.5.png")
    w1, h1 = image1.size

    image2 = Image.new("RGB", (28, 28), (255, 255, 255))

    image1.thumbnail((20, 20), Image.ANTIALIAS)

    image2.paste(image1, (0, 0))
    image2.save("step4.png")

    digit_image = mpimg.imread("step4.png")

    gray_digit = np.dot(digit_image[...,:3], [0.299, 0.587, 0.114])
    gray_digit = gray_digit.flatten()


    for i in range(len(gray_digit)):
        gray_digit[i] = 1.0 - gray_digit[i]
        gray_digit[i] = round(gray_digit[i], 8)


    # Calculating center of mass of the image
    x, y = ndimage.measurements.center_of_mass(gray_digit.reshape(28, 28))

    image2 = image2.transform(image2.size, Image.AFFINE, (1, 0, y - 14, 0, 1, x - 14), fill=0)

    image2 = Image.new("RGB", (28, 28), (255, 255, 255))
    image2.paste(image1, (14 - int(round(y, 0)), 14 - int(round(x, 0))))
    image2.save("step6.png")

    return "step6.png"

def convert_im(code, image1):
    image1 = image1.crop(image1.getbbox())
    w1, h1 = image1.size

    image2 = Image.new("RGB", (28, 28), (255, 255, 255))

    datas = image1.getdata()
    newdata = []

    """
    for item in datas:
        if item[0] == 255 and item[1] == 255 and item[2] == 255: # Red -> Black
            newdata.append(white)
        elif item[0] == 0 and item[1] == 0 and item[2] == 0: # Black -> White
            newdata.append(white)
        else:
            newdata.append(black)

    """

    #image1.putdata(newdata)
    image1.thumbnail((20, 20), Image.ANTIALIAS)

    image2.paste(image1, (0, 0))
    image2.save("step4.png")

    digit_image = mpimg.imread("step4.png")

    gray_digit = np.dot(digit_image[...,:3], [0.299, 0.587, 0.114])
    gray_digit = gray_digit.flatten()


    for i in range(len(gray_digit)):
        gray_digit[i] = 1.0 - gray_digit[i]
        gray_digit[i] = round(gray_digit[i], 8)


    # Calculating center of mass of the image
    x, y = ndimage.measurements.center_of_mass(gray_digit.reshape(28, 28))

    image2 = image2.transform(image2.size, Image.AFFINE, (1, 0, y - 14, 0, 1, x - 14), fill=0)

    image2 = Image.new("RGB", (28, 28), (255, 255, 255))
    image2.paste(image1, (14 - int(round(y, 0)), 14 - int(round(x, 0))))

    image2.save(chr(code) + str(time.time()) + ".png")

def convert_im(code, image1):
    image1 = image1.crop(image1.getbbox())
    w1, h1 = image1.size

    image2 = Image.new("RGB", (28, 28), (255, 255, 255))

    datas = image1.getdata()
    newdata = []

    """
    for item in datas:
        if item[0] == 255 and item[1] == 255 and item[2] == 255: # Red -> Black
            newdata.append(white)
        elif item[0] == 0 and item[1] == 0 and item[2] == 0: # Black -> White
            newdata.append(white)
        else:
            newdata.append(black)

    """

    #image1.putdata(newdata)
    image1.thumbnail((20, 20), Image.ANTIALIAS)

    image2.paste(image1, (0, 0))
    image2.save("step4.png")

    digit_image = mpimg.imread("step4.png")

    gray_digit = np.dot(digit_image[...,:3], [0.299, 0.587, 0.114])
    gray_digit = gray_digit.flatten()


    for i in range(len(gray_digit)):
        gray_digit[i] = 1.0 - gray_digit[i]
        gray_digit[i] = round(gray_digit[i], 8)


    # Calculating center of mass of the image
    x, y = ndimage.measurements.center_of_mass(gray_digit.reshape(28, 28))

    if math.isnan(x) or math.isnan(y):
        return

    image2 = image2.transform(image2.size, Image.AFFINE, (1, 0, y - 14, 0, 1, x - 14), fill=0)

    image2 = Image.new("RGB", (28, 28), (255, 255, 255))
    image2.paste(image1, (14 - int(round(y, 0)), 14 - int(round(x, 0))))
    image2.save(chr(code) + str(time.time()) + ".png")