Python matplotlib._png.read_png() Examples
The following are 17
code examples of matplotlib._png.read_png().
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Example #1
| Source File: texmanager.py From Mastering-Elasticsearch-7.0 with MIT License | 6 votes |
|
def get_grey(self, tex, fontsize=None, dpi=None):
"""Return the alpha channel."""
from matplotlib import _png
key = tex, self.get_font_config(), fontsize, dpi
alpha = self.grey_arrayd.get(key)
if alpha is None:
pngfile = self.make_png(tex, fontsize, dpi)
X = _png.read_png(os.path.join(self.texcache, pngfile))
self.grey_arrayd[key] = alpha = X[:, :, -1]
return alpha
Example #2
| Source File: compare.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def save_diff_image(expected, actual, output):
expectedImage = _png.read_png(expected)
actualImage = _png.read_png(actual)
actualImage, expectedImage = crop_to_same(
actual, actualImage, expected, expectedImage)
expectedImage = np.array(expectedImage).astype(float)
actualImage = np.array(actualImage).astype(float)
if expectedImage.shape != actualImage.shape:
raise ImageComparisonFailure(
"Image sizes do not match expected size: {0} "
"actual size {1}".format(expectedImage.shape, actualImage.shape))
absDiffImage = np.abs(expectedImage - actualImage)
# expand differences in luminance domain
absDiffImage *= 255 * 10
save_image_np = np.clip(absDiffImage, 0, 255).astype(np.uint8)
height, width, depth = save_image_np.shape
# The PDF renderer doesn't produce an alpha channel, but the
# matplotlib PNG writer requires one, so expand the array
if depth == 3:
with_alpha = np.empty((height, width, 4), dtype=np.uint8)
with_alpha[:, :, 0:3] = save_image_np
save_image_np = with_alpha
# Hard-code the alpha channel to fully solid
save_image_np[:, :, 3] = 255
_png.write_png(save_image_np, output)
Example #3
| Source File: texmanager.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def get_grey(self, tex, fontsize=None, dpi=None):
"""Return the alpha channel."""
key = tex, self.get_font_config(), fontsize, dpi
alpha = self.grey_arrayd.get(key)
if alpha is None:
pngfile = self.make_png(tex, fontsize, dpi)
X = read_png(os.path.join(self.texcache, pngfile))
self.grey_arrayd[key] = alpha = X[:, :, -1]
return alpha
Example #4
| Source File: compare.py From CogAlg with MIT License | 5 votes |
|
def save_diff_image(expected, actual, output):
'''
Parameters
----------
expected : str
File path of expected image.
actual : str
File path of actual image.
output : str
File path to save difference image to.
'''
# Drop alpha channels, similarly to compare_images.
from matplotlib import _png
expected_image = _png.read_png(expected)[..., :3]
actual_image = _png.read_png(actual)[..., :3]
actual_image, expected_image = crop_to_same(
actual, actual_image, expected, expected_image)
expected_image = np.array(expected_image).astype(float)
actual_image = np.array(actual_image).astype(float)
if expected_image.shape != actual_image.shape:
raise ImageComparisonFailure(
"Image sizes do not match expected size: {} "
"actual size {}".format(expected_image.shape, actual_image.shape))
abs_diff_image = np.abs(expected_image - actual_image)
# expand differences in luminance domain
abs_diff_image *= 255 * 10
save_image_np = np.clip(abs_diff_image, 0, 255).astype(np.uint8)
height, width, depth = save_image_np.shape
# The PDF renderer doesn't produce an alpha channel, but the
# matplotlib PNG writer requires one, so expand the array
if depth == 3:
with_alpha = np.empty((height, width, 4), dtype=np.uint8)
with_alpha[:, :, 0:3] = save_image_np
save_image_np = with_alpha
# Hard-code the alpha channel to fully solid
save_image_np[:, :, 3] = 255
_png.write_png(save_image_np, output)
Example #5
| Source File: texmanager.py From CogAlg with MIT License | 5 votes |
|
def get_grey(self, tex, fontsize=None, dpi=None):
"""Return the alpha channel."""
from matplotlib import _png
key = tex, self.get_font_config(), fontsize, dpi
alpha = self.grey_arrayd.get(key)
if alpha is None:
pngfile = self.make_png(tex, fontsize, dpi)
X = _png.read_png(os.path.join(self.texcache, pngfile))
self.grey_arrayd[key] = alpha = X[:, :, -1]
return alpha
Example #6
| Source File: compare.py From coffeegrindsize with MIT License | 5 votes |
|
def save_diff_image(expected, actual, output):
'''
Parameters
----------
expected : str
File path of expected image.
actual : str
File path of actual image.
output : str
File path to save difference image to.
'''
# Drop alpha channels, similarly to compare_images.
expectedImage = _png.read_png(expected)[..., :3]
actualImage = _png.read_png(actual)[..., :3]
actualImage, expectedImage = crop_to_same(
actual, actualImage, expected, expectedImage)
expectedImage = np.array(expectedImage).astype(float)
actualImage = np.array(actualImage).astype(float)
if expectedImage.shape != actualImage.shape:
raise ImageComparisonFailure(
"Image sizes do not match expected size: {} "
"actual size {}".format(expectedImage.shape, actualImage.shape))
absDiffImage = np.abs(expectedImage - actualImage)
# expand differences in luminance domain
absDiffImage *= 255 * 10
save_image_np = np.clip(absDiffImage, 0, 255).astype(np.uint8)
height, width, depth = save_image_np.shape
# The PDF renderer doesn't produce an alpha channel, but the
# matplotlib PNG writer requires one, so expand the array
if depth == 3:
with_alpha = np.empty((height, width, 4), dtype=np.uint8)
with_alpha[:, :, 0:3] = save_image_np
save_image_np = with_alpha
# Hard-code the alpha channel to fully solid
save_image_np[:, :, 3] = 255
_png.write_png(save_image_np, output)
Example #7
| Source File: texmanager.py From coffeegrindsize with MIT License | 5 votes |
|
def get_grey(self, tex, fontsize=None, dpi=None):
"""Return the alpha channel."""
key = tex, self.get_font_config(), fontsize, dpi
alpha = self.grey_arrayd.get(key)
if alpha is None:
pngfile = self.make_png(tex, fontsize, dpi)
X = _png.read_png(os.path.join(self.texcache, pngfile))
self.grey_arrayd[key] = alpha = X[:, :, -1]
return alpha
Example #8
| Source File: compare.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def save_diff_image(expected, actual, output):
'''
Parameters
----------
expected : str
File path of expected image.
actual : str
File path of actual image.
output : str
File path to save difference image to.
'''
# Drop alpha channels, similarly to compare_images.
expectedImage = _png.read_png(expected)[..., :3]
actualImage = _png.read_png(actual)[..., :3]
actualImage, expectedImage = crop_to_same(
actual, actualImage, expected, expectedImage)
expectedImage = np.array(expectedImage).astype(float)
actualImage = np.array(actualImage).astype(float)
if expectedImage.shape != actualImage.shape:
raise ImageComparisonFailure(
"Image sizes do not match expected size: {} "
"actual size {}".format(expectedImage.shape, actualImage.shape))
absDiffImage = np.abs(expectedImage - actualImage)
# expand differences in luminance domain
absDiffImage *= 255 * 10
save_image_np = np.clip(absDiffImage, 0, 255).astype(np.uint8)
height, width, depth = save_image_np.shape
# The PDF renderer doesn't produce an alpha channel, but the
# matplotlib PNG writer requires one, so expand the array
if depth == 3:
with_alpha = np.empty((height, width, 4), dtype=np.uint8)
with_alpha[:, :, 0:3] = save_image_np
save_image_np = with_alpha
# Hard-code the alpha channel to fully solid
save_image_np[:, :, 3] = 255
_png.write_png(save_image_np, output)
Example #9
| Source File: texmanager.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def get_grey(self, tex, fontsize=None, dpi=None):
"""Return the alpha channel."""
key = tex, self.get_font_config(), fontsize, dpi
alpha = self.grey_arrayd.get(key)
if alpha is None:
pngfile = self.make_png(tex, fontsize, dpi)
X = _png.read_png(os.path.join(self.texcache, pngfile))
self.grey_arrayd[key] = alpha = X[:, :, -1]
return alpha
Example #10
| Source File: compare.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def save_diff_image(expected, actual, output):
'''
Parameters
----------
expected : str
File path of expected image.
actual : str
File path of actual image.
output : str
File path to save difference image to.
'''
# Drop alpha channels, similarly to compare_images.
expectedImage = _png.read_png(expected)[..., :3]
actualImage = _png.read_png(actual)[..., :3]
actualImage, expectedImage = crop_to_same(
actual, actualImage, expected, expectedImage)
expectedImage = np.array(expectedImage).astype(float)
actualImage = np.array(actualImage).astype(float)
if expectedImage.shape != actualImage.shape:
raise ImageComparisonFailure(
"Image sizes do not match expected size: {} "
"actual size {}".format(expectedImage.shape, actualImage.shape))
absDiffImage = np.abs(expectedImage - actualImage)
# expand differences in luminance domain
absDiffImage *= 255 * 10
save_image_np = np.clip(absDiffImage, 0, 255).astype(np.uint8)
height, width, depth = save_image_np.shape
# The PDF renderer doesn't produce an alpha channel, but the
# matplotlib PNG writer requires one, so expand the array
if depth == 3:
with_alpha = np.empty((height, width, 4), dtype=np.uint8)
with_alpha[:, :, 0:3] = save_image_np
save_image_np = with_alpha
# Hard-code the alpha channel to fully solid
save_image_np[:, :, 3] = 255
_png.write_png(save_image_np, output)
Example #11
| Source File: texmanager.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def get_grey(self, tex, fontsize=None, dpi=None):
"""Return the alpha channel."""
key = tex, self.get_font_config(), fontsize, dpi
alpha = self.grey_arrayd.get(key)
if alpha is None:
pngfile = self.make_png(tex, fontsize, dpi)
X = _png.read_png(os.path.join(self.texcache, pngfile))
self.grey_arrayd[key] = alpha = X[:, :, -1]
return alpha
Example #12
| Source File: compare.py From neural-network-animation with MIT License | 5 votes |
|
def save_diff_image(expected, actual, output):
expectedImage = _png.read_png(expected)
actualImage = _png.read_png(actual)
actualImage, expectedImage = crop_to_same(
actual, actualImage, expected, expectedImage)
expectedImage = np.array(expectedImage).astype(np.float)
actualImage = np.array(actualImage).astype(np.float)
assert expectedImage.ndim == actualImage.ndim
assert expectedImage.shape == actualImage.shape
absDiffImage = abs(expectedImage - actualImage)
# expand differences in luminance domain
absDiffImage *= 255 * 10
save_image_np = np.clip(absDiffImage, 0, 255).astype(np.uint8)
height, width, depth = save_image_np.shape
# The PDF renderer doesn't produce an alpha channel, but the
# matplotlib PNG writer requires one, so expand the array
if depth == 3:
with_alpha = np.empty((height, width, 4), dtype=np.uint8)
with_alpha[:, :, 0:3] = save_image_np
save_image_np = with_alpha
# Hard-code the alpha channel to fully solid
save_image_np[:, :, 3] = 255
_png.write_png(save_image_np.tostring(), width, height, output)
Example #13
| Source File: compare.py From matplotlib-4-abaqus with MIT License | 5 votes |
|
def save_diff_image( expected, actual, output ):
expectedImage = _png.read_png( expected )
actualImage = _png.read_png( actual )
actualImage, expectedImage = crop_to_same(actual, actualImage, expected, expectedImage)
expectedImage = np.array(expectedImage).astype(np.float)
actualImage = np.array(actualImage).astype(np.float)
assert expectedImage.ndim==actualImage.ndim
assert expectedImage.shape==actualImage.shape
absDiffImage = abs(expectedImage-actualImage)
# expand differences in luminance domain
absDiffImage *= 255 * 10
save_image_np = np.clip(absDiffImage, 0, 255).astype(np.uint8)
height, width, depth = save_image_np.shape
# The PDF renderer doesn't produce an alpha channel, but the
# matplotlib PNG writer requires one, so expand the array
if depth == 3:
with_alpha = np.empty((height, width, 4), dtype=np.uint8)
with_alpha[:,:,0:3] = save_image_np
save_image_np = with_alpha
# Hard-code the alpha channel to fully solid
save_image_np[:,:,3] = 255
_png.write_png(save_image_np.tostring(), width, height, output)
Example #14
| Source File: texmanager.py From ImageFusion with MIT License | 4 votes |
|
def get_grey(self, tex, fontsize=None, dpi=None):
"""returns the alpha channel"""
key = tex, self.get_font_config(), fontsize, dpi
alpha = self.grey_arrayd.get(key)
if alpha is None:
pngfile = self.make_png(tex, fontsize, dpi)
X = read_png(os.path.join(self.texcache, pngfile))
if rcParams['text.dvipnghack'] is not None:
hack = rcParams['text.dvipnghack']
else:
if TexManager._dvipng_hack_alpha is None:
TexManager._dvipng_hack_alpha = dvipng_hack_alpha()
hack = TexManager._dvipng_hack_alpha
if hack:
# hack the alpha channel
# dvipng assumed a constant background, whereas we want to
# overlay these rasters with antialiasing over arbitrary
# backgrounds that may have other figure elements under them.
# When you set dvipng -bg Transparent, it actually makes the
# alpha channel 1 and does the background compositing and
# antialiasing itself and puts the blended data in the rgb
# channels. So what we do is extract the alpha information
# from the red channel, which is a blend of the default dvipng
# background (white) and foreground (black). So the amount of
# red (or green or blue for that matter since white and black
# blend to a grayscale) is the alpha intensity. Once we
# extract the correct alpha information, we assign it to the
# alpha channel properly and let the users pick their rgb. In
# this way, we can overlay tex strings on arbitrary
# backgrounds with antialiasing
#
# red = alpha*red_foreground + (1-alpha)*red_background
#
# Since the foreground is black (0) and the background is
# white (1) this reduces to red = 1-alpha or alpha = 1-red
#alpha = npy.sqrt(1-X[:,:,0]) # should this be sqrt here?
alpha = 1 - X[:, :, 0]
else:
alpha = X[:, :, -1]
self.grey_arrayd[key] = alpha
return alpha
Example #15
| Source File: texmanager.py From neural-network-animation with MIT License | 4 votes |
|
def get_grey(self, tex, fontsize=None, dpi=None):
"""returns the alpha channel"""
key = tex, self.get_font_config(), fontsize, dpi
alpha = self.grey_arrayd.get(key)
if alpha is None:
pngfile = self.make_png(tex, fontsize, dpi)
X = read_png(os.path.join(self.texcache, pngfile))
if rcParams['text.dvipnghack'] is not None:
hack = rcParams['text.dvipnghack']
else:
if TexManager._dvipng_hack_alpha is None:
TexManager._dvipng_hack_alpha = dvipng_hack_alpha()
hack = TexManager._dvipng_hack_alpha
if hack:
# hack the alpha channel
# dvipng assumed a constant background, whereas we want to
# overlay these rasters with antialiasing over arbitrary
# backgrounds that may have other figure elements under them.
# When you set dvipng -bg Transparent, it actually makes the
# alpha channel 1 and does the background compositing and
# antialiasing itself and puts the blended data in the rgb
# channels. So what we do is extract the alpha information
# from the red channel, which is a blend of the default dvipng
# background (white) and foreground (black). So the amount of
# red (or green or blue for that matter since white and black
# blend to a grayscale) is the alpha intensity. Once we
# extract the correct alpha information, we assign it to the
# alpha channel properly and let the users pick their rgb. In
# this way, we can overlay tex strings on arbitrary
# backgrounds with antialiasing
#
# red = alpha*red_foreground + (1-alpha)*red_background
#
# Since the foreground is black (0) and the background is
# white (1) this reduces to red = 1-alpha or alpha = 1-red
#alpha = npy.sqrt(1-X[:,:,0]) # should this be sqrt here?
alpha = 1 - X[:, :, 0]
else:
alpha = X[:, :, -1]
self.grey_arrayd[key] = alpha
return alpha
Example #16
| Source File: texmanager.py From matplotlib-4-abaqus with MIT License | 4 votes |
|
def get_grey(self, tex, fontsize=None, dpi=None):
"""returns the alpha channel"""
key = tex, self.get_font_config(), fontsize, dpi
alpha = self.grey_arrayd.get(key)
if alpha is None:
pngfile = self.make_png(tex, fontsize, dpi)
X = read_png(os.path.join(self.texcache, pngfile))
if rcParams['text.dvipnghack'] is not None:
hack = rcParams['text.dvipnghack']
else:
if TexManager._dvipng_hack_alpha is None:
TexManager._dvipng_hack_alpha = dvipng_hack_alpha()
hack = TexManager._dvipng_hack_alpha
if hack:
# hack the alpha channel
# dvipng assumed a constant background, whereas we want to
# overlay these rasters with antialiasing over arbitrary
# backgrounds that may have other figure elements under them.
# When you set dvipng -bg Transparent, it actually makes the
# alpha channel 1 and does the background compositing and
# antialiasing itself and puts the blended data in the rgb
# channels. So what we do is extract the alpha information
# from the red channel, which is a blend of the default dvipng
# background (white) and foreground (black). So the amount of
# red (or green or blue for that matter since white and black
# blend to a grayscale) is the alpha intensity. Once we
# extract the correct alpha information, we assign it to the
# alpha channel properly and let the users pick their rgb. In
# this way, we can overlay tex strings on arbitrary
# backgrounds with antialiasing
#
# red = alpha*red_foreground + (1-alpha)*red_background
#
# Since the foreground is black (0) and the background is
# white (1) this reduces to red = 1-alpha or alpha = 1-red
#alpha = npy.sqrt(1-X[:,:,0]) # should this be sqrt here?
alpha = 1 - X[:, :, 0]
else:
alpha = X[:, :, -1]
self.grey_arrayd[key] = alpha
return alpha
Example #17
| Source File: texmanager.py From Computable with MIT License | 4 votes |
|
def get_grey(self, tex, fontsize=None, dpi=None):
"""returns the alpha channel"""
key = tex, self.get_font_config(), fontsize, dpi
alpha = self.grey_arrayd.get(key)
if alpha is None:
pngfile = self.make_png(tex, fontsize, dpi)
X = read_png(os.path.join(self.texcache, pngfile))
if rcParams['text.dvipnghack'] is not None:
hack = rcParams['text.dvipnghack']
else:
if TexManager._dvipng_hack_alpha is None:
TexManager._dvipng_hack_alpha = dvipng_hack_alpha()
hack = TexManager._dvipng_hack_alpha
if hack:
# hack the alpha channel
# dvipng assumed a constant background, whereas we want to
# overlay these rasters with antialiasing over arbitrary
# backgrounds that may have other figure elements under them.
# When you set dvipng -bg Transparent, it actually makes the
# alpha channel 1 and does the background compositing and
# antialiasing itself and puts the blended data in the rgb
# channels. So what we do is extract the alpha information
# from the red channel, which is a blend of the default dvipng
# background (white) and foreground (black). So the amount of
# red (or green or blue for that matter since white and black
# blend to a grayscale) is the alpha intensity. Once we
# extract the correct alpha information, we assign it to the
# alpha channel properly and let the users pick their rgb. In
# this way, we can overlay tex strings on arbitrary
# backgrounds with antialiasing
#
# red = alpha*red_foreground + (1-alpha)*red_background
#
# Since the foreground is black (0) and the background is
# white (1) this reduces to red = 1-alpha or alpha = 1-red
#alpha = npy.sqrt(1-X[:,:,0]) # should this be sqrt here?
alpha = 1 - X[:, :, 0]
else:
alpha = X[:, :, -1]
self.grey_arrayd[key] = alpha
return alpha
