def _GetNumPyImage( self, target_resolution = None ):
if target_resolution is None:
numpy_image = self._numpy_image
else:
numpy_image = ClientImageHandling.ResizeNumPyImageForMediaViewer( self._mime, self._numpy_image, ( target_resolution.width(), target_resolution.height() ) )
return numpy_image
def _GetNumPyImage(self, clip_rect: QC.QRect, target_resolution: QC.QSize):
if self._numpy_image is None:
return numpy.zeros(
(target_resolution.height(), target_resolution.width()),
dtype='uint8')
clip_size = clip_rect.size()
clip_width = clip_size.width()
clip_height = clip_size.height()
(my_width, my_height) = self._resolution
my_full_rect = QC.QRect(0, 0, my_width, my_height)
ZERO_MARGIN = QC.QMargins(0, 0, 0, 0)
clip_padding = ZERO_MARGIN
target_padding = ZERO_MARGIN
if clip_rect == my_full_rect:
# full image
source = self._numpy_image
else:
if target_resolution.width() > clip_width:
# this is a tile that is being scaled up!
# to reduce tiling artifacts (disagreement at otherwise good borders), we want to oversample the clip for our tile so lanczos and friends can get good neighbour data and then crop it
# therefore, we'll figure out some padding for the clip, and then calculate what that means in the target end, and do a crop at the end
# we want to pad. that means getting a larger resolution and keeping a record of the padding
# can't pad if we are at 0 for x or y, or up against width/height max, but no problem in that case obviously
# there is the float-int precision calculation problem again. we can't pick a padding of 3 in the clip if we are zooming by 150%--what do we clip off in the target: 4 or 5 pixels? whatever, we get warping
# first let's figure a decent zoom estimate:
zoom_estimate = target_resolution.width(
) / clip_width if target_resolution.width(
) > target_resolution.height(
) else target_resolution.height() / clip_height
# now, if zoom is 150% (as a fraction, 3/2), we want a padding at the target of something that divides by 3 cleanly, or, since we are choosing at the clip in this case and will be multiplying, something that divides cleanly to 67%
zoom_estimate_for_clip_padding_multiplier = 1 / zoom_estimate
# and we want a nice padding size limit, big enough to make clean numbers but not so big that we are rendering the 8 tiles in a square around the one we want
no_bigger_than = max(4, (clip_width + clip_height) // 4)
nice_number = HydrusData.GetNicelyDivisibleNumberForZoom(
zoom_estimate_for_clip_padding_multiplier, no_bigger_than)
if nice_number != -1:
# lanczos, I think, uses 4x4 neighbour grid to render. we'll say padding of 4 pixels to be safe for now, although 2 or 3 is probably correct???
# however it works, numbers these small are not a big deal
while nice_number < 4:
nice_number *= 2
PADDING_AMOUNT = nice_number
# LIMITATION: There is still a problem here for the bottom and rightmost edges. These tiles are not squares, so the shorter/thinner dimension my be an unpleasant number and be warped _anyway_, regardless of nice padding
# perhaps there is a way to boost left or top padding so we are rendering a full square tile but still cropping our target at the end, but with a little less warping
# I played around with this idea but did not have much success
LEFT_PADDING_AMOUNT = PADDING_AMOUNT
TOP_PADDING_AMOUNT = PADDING_AMOUNT
left_padding = min(LEFT_PADDING_AMOUNT, clip_rect.x())
top_padding = min(TOP_PADDING_AMOUNT, clip_rect.y())
right_padding = min(PADDING_AMOUNT, (my_width - 1) -
clip_rect.bottomRight().x())
bottom_padding = min(PADDING_AMOUNT, (my_height - 1) -
clip_rect.bottomRight().y())
clip_padding = QC.QMargins(left_padding, top_padding,
right_padding, bottom_padding)
target_padding = clip_padding * zoom_estimate
clip_rect_with_padding = clip_rect + clip_padding
(x, y, clip_width, clip_height) = (clip_rect_with_padding.x(),
clip_rect_with_padding.y(),
clip_rect_with_padding.width(),
clip_rect_with_padding.height())
source = self._numpy_image[y:y + clip_height, x:x + clip_width]
if target_resolution == clip_size:
# 100% zoom
result = source
else:
if clip_padding == ZERO_MARGIN:
result = ClientImageHandling.ResizeNumPyImageForMediaViewer(
self._mime, source,
(target_resolution.width(), target_resolution.height()))
else:
target_width_with_padding = target_resolution.width(
) + target_padding.left() + target_padding.right()
target_height_with_padding = target_resolution.height(
) + target_padding.top() + target_padding.bottom()
result = ClientImageHandling.ResizeNumPyImageForMediaViewer(
self._mime, source,
(target_width_with_padding, target_height_with_padding))
y = target_padding.top()
x = target_padding.left()
result = result[y:y + target_resolution.height(),
x:x + target_resolution.width()]
if not result.data.c_contiguous:
result = result.copy()
return result
def _GetNumPyImage(self, clip_rect: QC.QRect, target_resolution: QC.QSize):
clip_size = clip_rect.size()
(my_width, my_height) = self._resolution
my_full_rect = QC.QRect(0, 0, my_width, my_height)
ZERO_MARGIN = QC.QMargins(0, 0, 0, 0)
clip_padding = ZERO_MARGIN
target_padding = ZERO_MARGIN
if clip_rect == my_full_rect:
# full image
source = self._numpy_image
else:
if target_resolution.width() > clip_size.width():
# this is a tile that is being scaled!
# to reduce tiling artifacts, we want to oversample the clip for our tile so lanczos and friends can get good neighbour data and then crop it
# therefore, we'll figure out some padding for the clip, and then calculate what that means in the target end, and do a crop at the end
# we want to pad. that means getting a larger resolution and keeping a record of the padding
# can't pad if we are at 0 for x or y, or up against width/height max
# but if we can pad, we will get a larger clip size and then _clip_ a better target endpoint. this is tricky.
PADDING_AMOUNT = 4
left_padding = min(PADDING_AMOUNT, clip_rect.x())
top_padding = min(PADDING_AMOUNT, clip_rect.y())
right_padding = min(PADDING_AMOUNT,
my_width - clip_rect.bottomRight().x())
bottom_padding = min(PADDING_AMOUNT,
my_height - clip_rect.bottomRight().y())
clip_padding = QC.QMargins(left_padding, top_padding,
right_padding, bottom_padding)
# this is ugly and super inaccurate
target_padding = clip_padding * (target_resolution.width() /
clip_size.width())
clip_rect_with_padding = clip_rect + clip_padding
(x, y, clip_width, clip_height) = (clip_rect_with_padding.x(),
clip_rect_with_padding.y(),
clip_rect_with_padding.width(),
clip_rect_with_padding.height())
source = self._numpy_image[y:y + clip_height, x:x + clip_width]
if target_resolution == clip_size:
# 100% zoom
result = source
else:
if clip_padding == ZERO_MARGIN:
result = ClientImageHandling.ResizeNumPyImageForMediaViewer(
self._mime, source,
(target_resolution.width(), target_resolution.height()))
else:
target_width_with_padding = target_resolution.width(
) + target_padding.left() + target_padding.right()
target_height_with_padding = target_resolution.height(
) + target_padding.top() + target_padding.bottom()
result = ClientImageHandling.ResizeNumPyImageForMediaViewer(
self._mime, source,
(target_width_with_padding, target_height_with_padding))
y = target_padding.top()
x = target_padding.left()
result = result[y:y + target_resolution.height(),
x:x + target_resolution.width()]
if not result.data.c_contiguous:
result = result.copy()
return result