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Crop processor consolidation
BasicCrop is absorbed into Crop and Crop uses ResizeCanvas
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2 changed files with 30 additions and 63 deletions
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@ -1,6 +1,6 @@
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from ..lib import Image, ImageChops, ImageDraw, ImageStat
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from .utils import histogram_entropy
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from . import Anchor
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from .utils import histogram_entropy
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from ..lib import Image, ImageChops, ImageDraw, ImageStat
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class Side(object):
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@ -72,80 +72,31 @@ class TrimBorderColor(object):
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return img
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class BasicCrop(object):
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"""Crops an image to the specified rectangular region.
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"""
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def __init__(self, x, y, width, height):
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"""
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:param x: The x position of the clipping box, in pixels.
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:param y: The y position of the clipping box, in pixels.
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:param width: The width position of the clipping box, in pixels.
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:param height: The height position of the clipping box, in pixels.
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"""
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self.x = x
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self.y = y
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self.width = width
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self.height = height
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def process(self, img):
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box = (self.x, self.y, self.x + self.width, self.y + self.height)
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return img.crop(box)
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class Crop(object):
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"""
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Crops an image , cropping it to the specified width and height
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relative to the anchor.
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Crops an image, cropping it to the specified width and height. You may
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optionally provide either an anchor or x and y coordinates. This processor
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functions exactly the same as ``ResizeCanvas`` except that it will never
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enlarge the image.
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"""
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def __init__(self, width=None, height=None, anchor=None):
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"""
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:param width: The target width, in pixels.
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:param height: The target height, in pixels.
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:param anchor: Specifies which part of the image should be retained
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when cropping. Valid values are:
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- Crop.TOP_LEFT
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- Crop.TOP
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- Crop.TOP_RIGHT
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- Crop.LEFT
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- Crop.CENTER
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- Crop.RIGHT
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- Crop.BOTTOM_LEFT
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- Crop.BOTTOM
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- Crop.BOTTOM_RIGHT
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You may also pass a tuple that indicates the percentages of excess
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to be trimmed from each dimension. For example, ``(0, 0)``
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corresponds to "top left", ``(0.5, 0.5)`` to "center" and ``(1, 1)``
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to "bottom right". This is basically the same as using percentages
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in CSS background positions.
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"""
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def __init__(self, width=None, height=None, anchor=None, x=None, y=None):
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self.width = width
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self.height = height
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self.anchor = anchor
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self.x = x
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self.y = y
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def process(self, img):
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from .resize import ResizeCanvas
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original_width, original_height = img.size
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new_width, new_height = min(original_width, self.width), \
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min(original_height, self.height)
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trim_x, trim_y = original_width - new_width, \
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original_height - new_height
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# If the user passed in one of the string values, convert it to a
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# percentage tuple.
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anchor = self.anchor or Anchor.CENTER
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if anchor in Anchor._ANCHOR_PTS.keys():
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anchor = Anchor._ANCHOR_PTS[anchor]
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x = int(float(trim_x) * float(anchor[0]))
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y = int(float(trim_y) * float(anchor[1]))
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return BasicCrop(x, y, new_width, new_height).process(img)
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return ResizeCanvas(new_width, new_height, anchor=self.anchor,
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x=self.x, y=self.y).process(img)
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class SmartCrop(object):
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@ -107,7 +107,23 @@ class ResizeCanvas(object):
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:param width: The target width, in pixels.
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:param height: The target height, in pixels.
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:param color: The background color to use for padding.
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:param anchor: Specifies the relative position of the original image.
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:param anchor: Specifies the position of the original image on the new
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canvas. Valid values are:
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- Anchor.TOP_LEFT
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- Anchor.TOP
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- Anchor.TOP_RIGHT
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- Anchor.LEFT
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- Anchor.CENTER
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- Anchor.RIGHT
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- Anchor.BOTTOM_LEFT
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- Anchor.BOTTOM
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- Anchor.BOTTOM_RIGHT
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You may also pass a tuple that indicates the position in
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percentages. For example, ``(0, 0)`` corresponds to "top left",
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``(0.5, 0.5)`` to "center" and ``(1, 1)`` to "bottom right". This is
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basically the same as using percentages in CSS background positions.
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"""
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if x is not None or y is not None:
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