def tst_fromimage(filename, irange):
fp = open(filename, "rb")
img = pilutil.fromimage(PIL.Image.open(fp))
fp.close()
imin,imax = irange
assert_(img.min() >= imin)
assert_(img.max() <= imax)
def convert_profile_numpy_transform(image_np, transform):
if (not have_pilutil) or (not have_cms):
return image_np
in_image_pil = pilutil.toimage(image_np)
convert_profile_pil_transform(in_image_pil, transform, inPlace=True)
image_out = pilutil.fromimage(in_image_pil)
return image_out
def convert_profile_numpy(image_np, inprof_path, outprof_path):
if (not have_pilutil) or (not have_cms):
return image_np
in_image_pil = pilutil.toimage(image_np)
out_image_pil = convert_profile_pil(in_image_pil,
inprof_path, outprof_path)
image_out = pilutil.fromimage(out_image_pil)
return image_out
def convert_profile_numpy(image_np, inprof_path, outprof_path):
if not have_pilutil:
return image_np
in_image_pil = pilutil.toimage(image_np)
out_image_pil = pilutil.convert_profile_pil(in_image_pil, inprof_path,
outprof_path)
image_np = pilutil.fromimage(out_image_pil)
return image_out
def test_fromimage(self):
data = {'icon.png':(0,255),
'icon_mono.png':(0,2),
'icon_mono_flat.png':(0,1)}
for fn,irange in data.iteritems():
img = pilutil.fromimage(PIL.Image.open(os.path.join(datapath,fn)))
imin,imax = irange
assert img.min() >= imin
assert img.max() <= imax
def read_jpg(file_path):
image = Image.open(file_path)
if hasattr(image, "_getexif"):
orientation = 0x0112
exif = image._getexif()
if exif is not None:
orientation = exif[orientation]
rotations = {
3: Image.ROTATE_180,
6: Image.ROTATE_270,
8: Image.ROTATE_90
}
if orientation in rotations:
image = image.transpose(rotations[orientation])
return fromimage(image, flatten=False, mode=None)
def get_frame(self, index):
"""Opens frame and returns image storred in numpy array
:param index:
specifies frame index
:returns numpy.array of a given frame
"""
if self.video_type == 'pixelink':
self.image = self.stream.get_frame(index)
self.figure.update_image(self.image)
else:
self.image = fromimage(self.stream.GetFrameNo(index))
self.figure.update_image(self.image[:, :, 0])
return self.image
def read_jpg(file_path):
image = Image.open(file_path)
if hasattr(image, '_getexif'):
orientation = 0x0112
exif = image._getexif()
if exif is not None:
orientation = exif[orientation]
rotations = {
3: Image.ROTATE_180,
6: Image.ROTATE_270,
8: Image.ROTATE_90
}
if orientation in rotations:
image = image.transpose(rotations[orientation])
img = fromimage(image, flatten=False, mode=None)
# convert to gray-scale image
img = img.mean(axis=2)
return np.asarray(img, dtype=np.float32)
def tst_fromimage(filename, irange):
img = pilutil.fromimage(PIL.Image.open(filename))
imin,imax = irange
assert_(img.min() >= imin)
assert_(img.max() <= imax)
def tst_fromimage(filename, irange):
img = pilutil.fromimage(PIL.Image.open(filename))
imin, imax = irange
assert_(img.min() >= imin)
assert_(img.max() <= imax)
def open(self, filename):
return fromimage(PIL_Image.open(filename))
