def crop(path, shape, x, y, w, h):
"""Crop image with rectangle
:param path: an image path
:param shape: some shape type
:param x: rect x origin
:param y: rect y origin
:param w: rect w size
:param h: rect h size
"""
shape = (x, y, w, h)
img = Img(path)
cropped = img.crop(shape)
out = new_name(path, 'crop')
cropped.save(out)
sys.stdout.write('%s\n' % out)
def average(*images):
"""Perform an averaging over the set of images
count = len(images)
for image in images:
cv.addWeighted(average, 1, image, 1/count, 0, average)
"""
if not len(images):
return None
fpath = images[0]
first = Img(fpath)
sz = first.size
sizetup = sz.to_tuple()
moving_average = cv.CreateImage(sizetup, 32, 1)
result = cv.CreateImage(sizetup, 8, 1)
count = 1
result = first.cv_rep()
for path in images:
img = Img(path)
rep = img.resize(sz)
cv.RunningAvg(rep, moving_average, 1. / float(count), None)
count += 1
cv.ConvertScaleAbs(moving_average, result)
out = new_name(fpath, 'average')
cv.SaveImage(out, result)
sys.stdout.write('%s\n' % out)
return result
def img_url(url, detect=True):
if not url:
return []
img = Img(url)
img.faces = faces_img(img)
return img
