Question

I am using image.transform in the Python Imaging Library to apply affine transform to a image of face detection to calibration the face accordding to the position of eyes. The result is right but the color of the image is changed like below. Why?
The code is following. The last two line is the call of tranform function.

def ScaleRotateTranslate(image, angle, center = None, new_center = None, scale = None, resample=Image.NEAREST):
    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 Distance(p1,p2):
    dx = p2[0] - p1[0]
    dy = p2[1] - p1[1]
    return math.sqrt(dx*dx+dy*dy)



image_center = ((eye_left[0]+eye_right[0])/2,(eye_left[1]+eye_right[1])/2)
rotatedImg = ScaleRotateTranslate(pilIm,center=image_center,angle=rotation)

Answer 1

Tried this:

import Image
import math

def ScaleRotateTranslate(image, angle, center = None, new_center = None, scale = None, resample=Image.NEAREST):
    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 Distance(p1,p2):
    dx = p2[0] - p1[0]
    dy = p2[1] - p1[1]
    return math.sqrt(dx*dx+dy*dy)


pilIm = Image.open('/Users/carlos/Downloads/image.jpg').convert('RGB');
eye_left = (10,10)
eye_right = (40,30)
rotation = 0.3;

image_center = ((eye_left[0]+eye_right[0])/2,(eye_left[1]+eye_right[1])/2)
rotatedImg = ScaleRotateTranslate(pilIm,center=image_center,angle=rotation)
rotatedImg.save('out.jpg')

Got this:

So I guess, the answer is it works for me. Try checking your installation of PIL and that you’re using RGB encoding.