Python PIL.Image.EXTENT Examples
The following are 9
code examples of PIL.Image.EXTENT().
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Example #1
| Source File: transformations.py From deep-prior with GNU General Public License v3.0 | 6 votes |
|
def transformImg(self, img, t):
imgT = img.transform((int(img.size[0]*t[3]),int(img.size[1]*t[3])), Image.EXTENT, (0,0,img.size[0],img.size[1]), Image.BILINEAR)
imgT = imgT.rotate(numpy.rad2deg(t[0]), Image.BILINEAR, expand=1)
if t[4] == 1.:
imgT = imgT.transpose(Image.FLIP_LEFT_RIGHT)
# crop only valid part
if self.crop:
imgT = imgT.crop(self.getInscribedRectangle(t[0], (img.size[0]*t[3], img.size[1]*t[3])))
# crop from translation
imgT = imgT.resize((int(self.imgSize[0]*1.1), int(self.imgSize[1]*1.1)), Image.BILINEAR)
xstart = int((imgT.size[0] // 2 - t[1]) - self.imgSize[0] // 2)
ystart = int((imgT.size[1] // 2 - t[2]) - self.imgSize[1] // 2)
assert xstart >= 0 and ystart >= 0
return imgT.crop((xstart, ystart, xstart+self.imgSize[0], ystart+self.imgSize[1]))
Example #2
| Source File: image.py From python-escpos with MIT License | 6 votes |
|
def to_column_format(self, high_density_vertical=True):
"""
Extract slices of an image as equal-sized blobs of column-format data.
:param high_density_vertical: Printed line height in dots
"""
im = self._im.transpose(Image.ROTATE_270).transpose(Image.FLIP_LEFT_RIGHT)
line_height = 24 if high_density_vertical else 8
width_pixels, height_pixels = im.size
top = 0
left = 0
while left < width_pixels:
box = (left, top, left + line_height, top + height_pixels)
im_slice = im.transform((line_height, height_pixels), Image.EXTENT, box)
im_bytes = im_slice.tobytes()
yield(im_bytes)
left += line_height
Example #3
| Source File: test_image_transform.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_extent(self):
im = hopper('RGB')
(w, h) = im.size
transformed = im.transform(im.size, Image.EXTENT,
(0, 0,
w//2, h//2), # ul -> lr
Image.BILINEAR)
scaled = im.resize((w*2, h*2), Image.BILINEAR).crop((0, 0, w, h))
# undone -- precision?
self.assert_image_similar(transformed, scaled, 23)
Example #4
| Source File: test_image_transform.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_fill(self):
for mode, pixel in [
['RGB', (255, 0, 0)],
['RGBA', (255, 0, 0, 255)],
['LA', (76, 0)]
]:
im = hopper(mode)
(w, h) = im.size
transformed = im.transform(im.size, Image.EXTENT,
(0, 0,
w*2, h*2),
Image.BILINEAR,
fillcolor='red')
self.assertEqual(transformed.getpixel((w-1, h-1)), pixel)
Example #5
| Source File: test_image_transform.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_alpha_premult_transform(self):
def op(im, sz):
(w, h) = im.size
return im.transform(sz, Image.EXTENT,
(0, 0,
w, h),
Image.BILINEAR)
self._test_alpha_premult(op)
Example #6
| Source File: transform.py From detectron2 with Apache License 2.0 | 5 votes |
|
def apply_image(self, img, interp=None):
h, w = self.output_size
ret = Image.fromarray(img).transform(
size=(w, h),
method=Image.EXTENT,
data=self.src_rect,
resample=interp if interp else self.interp,
fill=self.fill,
)
return np.asarray(ret)
Example #7
| Source File: transform.py From detectron2 with Apache License 2.0 | 5 votes |
|
def apply_image(self, img, interp=None):
h, w = self.output_size
ret = Image.fromarray(img).transform(
size=(w, h),
method=Image.EXTENT,
data=self.src_rect,
resample=interp if interp else self.interp,
fill=self.fill,
)
return np.asarray(ret)
Example #8
| Source File: Image.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 4 votes |
|
def __transformer(self, box, image, method, data,
resample=NEAREST, fill=1):
w = box[2] - box[0]
h = box[3] - box[1]
if method == AFFINE:
data = data[0:6]
elif method == EXTENT:
# convert extent to an affine transform
x0, y0, x1, y1 = data
xs = float(x1 - x0) / w
ys = float(y1 - y0) / h
method = AFFINE
data = (xs, 0, x0, 0, ys, y0)
elif method == PERSPECTIVE:
data = data[0:8]
elif method == QUAD:
# quadrilateral warp. data specifies the four corners
# given as NW, SW, SE, and NE.
nw = data[0:2]
sw = data[2:4]
se = data[4:6]
ne = data[6:8]
x0, y0 = nw
As = 1.0 / w
At = 1.0 / h
data = (x0, (ne[0]-x0)*As, (sw[0]-x0)*At,
(se[0]-sw[0]-ne[0]+x0)*As*At,
y0, (ne[1]-y0)*As, (sw[1]-y0)*At,
(se[1]-sw[1]-ne[1]+y0)*As*At)
else:
raise ValueError("unknown transformation method")
if resample not in (NEAREST, BILINEAR, BICUBIC):
raise ValueError("unknown resampling filter")
image.load()
self.load()
if image.mode in ("1", "P"):
resample = NEAREST
self.im.transform2(box, image.im, method, data, resample, fill)
Example #9
| Source File: test_mode_i16.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 4 votes |
|
def test_basic(self):
# PIL 1.1 has limited support for 16-bit image data. Check that
# create/copy/transform and save works as expected.
def basic(mode):
imIn = self.original.convert(mode)
self.verify(imIn)
w, h = imIn.size
imOut = imIn.copy()
self.verify(imOut) # copy
imOut = imIn.transform((w, h), Image.EXTENT, (0, 0, w, h))
self.verify(imOut) # transform
filename = self.tempfile("temp.im")
imIn.save(filename)
imOut = Image.open(filename)
self.verify(imIn)
self.verify(imOut)
imOut = imIn.crop((0, 0, w, h))
self.verify(imOut)
imOut = Image.new(mode, (w, h), None)
imOut.paste(imIn.crop((0, 0, w//2, h)), (0, 0))
imOut.paste(imIn.crop((w//2, 0, w, h)), (w//2, 0))
self.verify(imIn)
self.verify(imOut)
imIn = Image.new(mode, (1, 1), 1)
self.assertEqual(imIn.getpixel((0, 0)), 1)
imIn.putpixel((0, 0), 2)
self.assertEqual(imIn.getpixel((0, 0)), 2)
if mode == "L":
maximum = 255
else:
maximum = 32767
imIn = Image.new(mode, (1, 1), 256)
self.assertEqual(imIn.getpixel((0, 0)), min(256, maximum))
imIn.putpixel((0, 0), 512)
self.assertEqual(imIn.getpixel((0, 0)), min(512, maximum))
basic("L")
basic("I;16")
basic("I;16B")
basic("I;16L")
basic("I")
