def embroider(command, channel, _, angle=None, distance=None, **kwargs):
elements = context.elements
channel(_("Embroidery Filling"))
efill = EulerianFill(float(distance))
for node in elements.elems(emphasized=True):
try:
path = Path(node.shape)
except AttributeError:
try:
path = Path(node.path)
except AttributeError:
continue
if angle is not None:
path *= Matrix.rotate(angle)
pts = [abs(path).point(i / 100.0, error=1e-4) for i in range(101)]
efill += pts
points = efill.get_fill()
for s in split(points):
result = Path(Polyline(s, stroke="black"))
if angle is not None:
result *= Matrix.rotate(-angle)
node = elements.elem_branch.add(path=result, type="elem path")
elements.classify([node])
def validate(self):
if self.point is None:
self.point = Point(
float(self.settings.get("x", 0)), float(self.settings.get("y", 0))
)
if self.matrix is None:
self.matrix = Matrix()
def eulerian_fill(settings, outlines, matrix, limit=None):
"""
Applies optimized Eulerian fill
@return:
"""
if matrix is None:
matrix = Matrix()
settings = dict(settings)
h_dist = settings.get("hatch_distance", "1mm")
h_angle = settings.get("hatch_angle", "0deg")
distance_y = float(Length(h_dist))
if isinstance(h_angle, float):
angle = Angle.degrees(h_angle)
else:
angle = Angle.parse(h_angle)
rotate = Matrix.rotate(angle)
counter_rotate = Matrix.rotate(-angle)
def mx_rotate(pt):
if pt is None:
return None
return (
pt[0] * rotate.a + pt[1] * rotate.c + 1 * rotate.e,
pt[0] * rotate.b + pt[1] * rotate.d + 1 * rotate.f,
)
def mx_counter(pt):
if pt is None:
return None
return (
pt[0] * counter_rotate.a + pt[1] * counter_rotate.c + 1 * counter_rotate.e,
pt[0] * counter_rotate.b + pt[1] * counter_rotate.d + 1 * counter_rotate.f,
)
transformed_vector = matrix.transform_vector([0, distance_y])
distance = abs(complex(transformed_vector[0], transformed_vector[1]))
efill = EulerianFill(distance)
for sp in outlines:
sp = list(map(mx_rotate, sp))
efill += sp
if limit and efill.estimate() > limit:
return []
points = efill.get_fill()
points = list(map(mx_counter, points))
return points
def test_fill_hatch2(self):
kernel = bootstrap.bootstrap()
try:
kernel.console("operation* delete\n")
kernel.console("rect 0 0 1in 1in\n")
kernel.console("rect 3in 0 1in 1in\n")
kernel.console("hatch\n")
hatch = list(kernel.elements.ops())[0]
hatch.hatch_type = "eulerian"
rect0 = list(kernel.elements.elems())[0]
hatch.add_node(copy(rect0))
rect1 = list(kernel.elements.elems())[1]
hatch.add_node(copy(rect1))
commands = list()
# kernel.console("tree list\n")
hatch.preprocess(kernel.root, Matrix(), commands)
for command in commands:
command()
# kernel.console("tree list\n")
polyline_node0 = hatch.children[0]
shape0 = polyline_node0.shape
self.assertEqual(len(shape0), 77)
# print(shape0)
polyline_node1 = hatch.children[1]
shape1 = polyline_node1.shape
self.assertEqual(len(shape1), 50)
# print(shape1)
finally:
kernel.shutdown()
def make_image():
step_x = self.raster_step_x
step_y = self.raster_step_y
bounds = self.bounds
try:
image = make_raster(list(self.flat()),
bounds=bounds,
step_x=step_x,
step_y=step_y)
except AssertionError:
raise CutPlanningFailedError("Raster too large.")
if image.width == 1 and image.height == 1:
# TODO: Solve this is a less kludgy manner. The call to make the image can fail the first time
# around because the renderer is what sets the size of the text. If the size hasn't already
# been set, the initial bounds are wrong.
bounds = self.bounds
try:
image = make_raster(list(self.flat()),
bounds=bounds,
step_x=step_x,
step_y=step_y)
except AssertionError:
raise CutPlanningFailedError("Raster too large.")
image = image.convert("L")
matrix = Matrix.scale(step_x, step_y)
matrix.post_translate(bounds[0], bounds[1])
image_node = ImageNode(image=image, matrix=matrix)
self.children.clear()
self.add_node(image_node)
def test_numpath_transform(self):
numpath = Numpath()
numpath.polyline(
(
complex(0.05, 0.05),
complex(0.95, 0.05),
complex(0.95, 0.95),
complex(0.05, 0.95),
complex(0.05, 0.05),
)
)
numpath.polyline(
(
complex(0.25, 0.25),
complex(0.75, 0.25),
complex(0.75, 0.75),
complex(0.25, 0.75),
complex(0.25, 0.25),
)
)
numpath.uscale(10000)
c = copy(numpath)
numpath.rotate(tau * 0.25)
c.transform(Matrix("rotate(.25turn)"))
t = numpath.segments == c.segments
self.assertTrue(np.all(t))
def __init__(
self,
path=None,
matrix=None,
fill=None,
stroke=None,
stroke_width=None,
linecap=Linecap.CAP_BUTT,
linejoin=Linejoin.JOIN_MITER,
fillrule=Fillrule.FILLRULE_NONZERO,
*args,
**kwargs,
):
super().__init__(*args, **kwargs)
self._formatter = "{element_type} {id} {stroke}"
self.settings.update(kwargs)
self.path = path
if matrix is None:
matrix = Matrix()
self.matrix = matrix
self.fill = fill
self.stroke = stroke
self.stroke_width = stroke_width
self.linecap = linecap
self.linejoin = linejoin
self.fillrule = fillrule
self.lock = False
def test_actualize_circle_step3_direct_black(self):
"""
Test for edge pixel error. Black Empty.
:return:
"""
image = Image.new("RGBA", (256, 256), "black")
draw = ImageDraw.Draw(image)
draw.ellipse((100, 100, 150, 150), "white")
for step in range(1, 20):
transform = Matrix()
actual, transform = actualize(
image, transform, step_x=step, step_y=step, crop=False, inverted=True
)
self.assertEqual(actual.getpixel((-1, -1)), 0)
# Note: inverted flag not set. White edge pixel is correct.
actual, transform = actualize(image, Matrix(), step_x=3, step_y=3, crop=False)
self.assertEqual(actual.getpixel((-1, -1)), 255)
def test_plotplanner_walk_raster(self):
"""
Test plotplanner operation of walking to a raster.
PLOT_FINISH = 256
PLOT_RAPID = 4
PLOT_JOG = 2
PLOT_SETTING = 128
PLOT_AXIS = 64
PLOT_DIRECTION = 32
PLOT_LEFT_UPPER = 512
PLOT_RIGHT_LOWER = 1024
1 means cut.
0 means move.
:return:
"""
rasterop = RasterOpNode()
image = Image.new("RGBA", (256, 256))
draw = ImageDraw.Draw(image)
draw.ellipse((0, 0, 255, 255), "black")
image = image.convert("L")
inode = ImageNode(image=image, dpi=1000.0, matrix=Matrix())
inode.step_x = 1
inode.step_y = 1
inode.process_image()
rasterop.add_node(inode)
rasterop.raster_step_x = 1
rasterop.raster_step_y = 1
vectorop = EngraveOpNode()
vectorop.add_node(
PathNode(path=Path(Circle(cx=127, cy=127, r=128)), fill="black"))
cutcode = CutCode()
cutcode.extend(vectorop.as_cutobjects())
cutcode.extend(rasterop.as_cutobjects())
settings = {"power": 500}
plan = PlotPlanner(settings)
for c in cutcode.flat():
plan.push(c)
setting_changed = False
for x, y, on in plan.gen():
if on > 2:
if setting_changed:
# Settings change happens at vector to raster switch and must repost the axis.
self.assertEqual(on, PLOT_AXIS)
if on == PLOT_SETTING:
setting_changed = True
else:
setting_changed = False
def __init__(
self,
scene,
left: float = None,
top: float = None,
right: float = None,
bottom: float = None,
all: bool = False,
):
"""
All produces a widget of infinite space rather than finite space.
"""
assert scene.__class__.__name__ == "Scene"
list.__init__(self)
self.matrix = Matrix()
self.scene = scene
self.parent = None
self.properties = ORIENTATION_RELATIVE
if all:
# contains all points
self.left = -float("inf")
self.top = -float("inf")
self.right = float("inf")
self.bottom = float("inf")
else:
# contains no points
self.left = float("inf")
self.top = float("inf")
self.right = -float("inf")
self.bottom = -float("inf")
if left is not None:
self.left = left
if right is not None:
self.right = right
if top is not None:
self.top = top
if bottom is not None:
self.bottom = bottom
def apply_rotary_scale(*args, **kwargs):
sx = self.scale_x
sy = self.scale_y
x, y = self.device.current
matrix = Matrix("scale(%f, %f, %f, %f)" % (sx, sy, x, y))
for node in self.elements.elems():
if hasattr(node, "rotary_scale"):
# This element is already scaled
return
try:
node.rotary_scale = sx, sy
node.matrix *= matrix
node.modified()
except AttributeError:
pass
def test_actualize_circle_step3_direct_white(self):
"""
Test for edge pixel error. White empty.
:return:
"""
image = Image.new("RGBA", (256, 256), "white")
draw = ImageDraw.Draw(image)
draw.ellipse((100, 100, 150, 150), "black")
for step in range(1, 20):
transform = Matrix()
actual, transform = actualize(
image, transform, step_x=step, step_y=step, crop=False
)
self.assertEqual(actual.getpixel((-1, -1)), 255)
def vectrace(data, **kwargs):
elements = kernel.root.elements
path = Path(fill="black", stroke="blue")
paths = []
for node in data:
matrix = node.matrix
image = node.image
width, height = node.image.size
if image.mode != "L":
image = image.convert("L")
image = image.point(lambda e: int(e > 127) * 255)
for points in _vectrace(image.load(), width, height):
path += Polygon(*points)
paths.append(
elements.elem_branch.add(path=path,
matrix=Matrix(matrix),
type="elem path"))
return "elements", paths
def linetext(command,
channel,
_,
font=None,
font_size=None,
remainder=None,
**kwargs):
context.setting(str, "shx_preferred", None)
if font is not None:
context.shx_preferred = font
font = context.shx_preferred
safe_dir = realpath(get_safe_path(context.kernel.name))
if font is None:
channel(_("SHX fonts in {path}:").format(path=safe_dir))
for p in glob(join(safe_dir, "*.shx")):
channel(p)
for p in glob(join(safe_dir, "*.SHX")):
channel(p)
return
font_path = join(safe_dir, font)
if not os.path.exists(font_path):
channel(
_("Font was not found at {path}").format(path=font_path))
for p in glob(join(safe_dir, "*.shx")):
channel(p)
for p in glob(join(safe_dir, "*.SHX")):
channel(p)
return
if remainder is None:
channel(_("No text to make a path with."))
return
font = ShxFont(font_path)
path = ShxPath()
font.render(path, remainder, True, float(font_size))
path_node = PathNode(
path=path.path,
matrix=Matrix.translate(0, float(font_size)),
stroke=Color("black"),
)
context.elements.elem_branch.add_node(path_node)
context.signal("element_added", path_node)
def event(self,
window_pos=None,
space_pos=None,
event_type=None,
nearest_snap=None):
response = RESPONSE_CHAIN
if event_type == "leftclick":
if nearest_snap is None:
point = Point(space_pos[0], space_pos[1])
else:
point = Point(nearest_snap[0], nearest_snap[1])
elements = self.scene.context.elements
node = elements.elem_branch.add(point=point,
matrix=Matrix(),
type="elem point")
if self.scene.context.elements.default_stroke is not None:
node.stroke = self.scene.context.elements.default_stroke
if self.scene.context.elements.default_fill is not None:
node.fill = self.scene.context.elements.default_fill
if elements.classify_new:
elements.classify([node])
self.notify_created(node)
response = RESPONSE_CONSUME
return response
def test_fill_euler_scale(self):
w = 1000
h = 1000
paths = (
(
(w * 0.05, h * 0.05),
(w * 0.95, h * 0.05),
(w * 0.95, h * 0.95),
(w * 0.05, h * 0.95),
(w * 0.05, h * 0.05),
),
(
(w * 0.25, h * 0.25),
(w * 0.75, h * 0.25),
(w * 0.75, h * 0.75),
(w * 0.25, h * 0.75),
(w * 0.25, h * 0.25),
),
)
matrix = Matrix.scale(0.005)
fill = list(eulerian_fill(settings={}, outlines=paths, matrix=matrix))
self.assertEqual(len(fill), 327)
for x, y in fill:
self.assertIn(x, (50, 250, 750, 950))
def test_actualize_pureblack(self):
"""
Test that a pure black image does not crash.
:return:
"""
kernel = bootstrap.bootstrap()
try:
kernel_root = kernel.get_context("/")
# kernel_root("channel print console\n")
image = Image.new("RGBA", (256, 256), "black")
elements = kernel_root.elements
node = elements.elem_branch.add(
image=image, dpi=1000.0, matrix=Matrix(), type="elem image"
)
node.emphasized = True
kernel_root("image resample\n")
for element in kernel_root.elements.elems():
if node.type == "elem image":
self.assertEqual(element.image.size, (256, 256))
self.assertEqual(element.matrix.value_trans_x(), 0)
self.assertEqual(element.matrix.value_trans_y(), 0)
finally:
kernel.shutdown()
def rebuild_hit_chain(self, current_widget, current_matrix=None):
"""
Iterates through the hit chain to find elements which respond to their hit() function that they are HITCHAIN_HIT
and registers this within the hittable_elements list if they are able to hit at the current time. Given the
dimensions of the widget and the current matrix within the widget tree.
HITCHAIN_HIT means that this is a hit value and should the termination of this branch of the widget tree.
HITCHAIN_DELEGATE means that this is not a hittable widget and should not receive mouse events.
HITCHAIN_HIT_AND_DELEGATE means that this is a hittable widget, but other widgets within it might also matter.
HITCHAIN_DELEGATE_AND_HIT means that other widgets in the tree should be checked first, but after those this
widget should be checked.
The hitchain is the current matrix and current widget in the order of depth.
"""
# If there is a matrix for the widget concatenate it.
if current_widget.matrix is not None:
matrix_within_scene = Matrix(current_widget.matrix)
matrix_within_scene.post_cat(current_matrix)
else:
matrix_within_scene = Matrix(current_matrix)
# Add to list and recurse for children based on response.
response = current_widget.hit()
if response == HITCHAIN_HIT:
self.hittable_elements.append(
(current_widget, matrix_within_scene))
# elif response == HITCHAIN_HIT_WITH_PRIORITY:
# self.hittable_elements.insert(0, (current_widget, matrix_within_scene))
elif response == HITCHAIN_DELEGATE:
for w in current_widget:
self.rebuild_hit_chain(w, matrix_within_scene)
elif response == HITCHAIN_HIT_AND_DELEGATE:
self.hittable_elements.append(
(current_widget, matrix_within_scene))
for w in current_widget:
self.rebuild_hit_chain(w, matrix_within_scene)
elif response == HITCHAIN_DELEGATE_AND_HIT:
for w in current_widget:
self.rebuild_hit_chain(w, matrix_within_scene)
self.hittable_elements.append(
(current_widget, matrix_within_scene))
def scanline_fill(settings, outlines, matrix, limit=None):
"""
Applies optimized scanline fill
@return:
"""
if matrix is None:
matrix = Matrix()
settings = dict(settings)
h_dist = settings.get("hatch_distance", "1mm")
h_angle = settings.get("hatch_angle", "0deg")
distance_y = float(Length(h_dist))
if isinstance(h_angle, float):
angle = Angle.degrees(h_angle)
else:
angle = Angle.parse(h_angle)
rotate = Matrix.rotate(angle)
counter_rotate = Matrix.rotate(-angle)
def mx_rotate(pt):
if pt is None:
return None
return (
pt[0] * rotate.a + pt[1] * rotate.c + 1 * rotate.e,
pt[0] * rotate.b + pt[1] * rotate.d + 1 * rotate.f,
)
def mx_counter(pt):
if pt is None:
return None
return (
pt[0] * counter_rotate.a + pt[1] * counter_rotate.c + 1 * counter_rotate.e,
pt[0] * counter_rotate.b + pt[1] * counter_rotate.d + 1 * counter_rotate.f,
)
transformed_vector = matrix.transform_vector([0, distance_y])
distance = abs(complex(transformed_vector[0], transformed_vector[1]))
vm = VectorMontonizer()
for outline in outlines:
pts = list(map(Point, map(mx_rotate, outline)))
vm.add_cluster(pts)
vm.sort_clusters()
y_max = vm.clusters[-1][0]
y_min = vm.clusters[0][0]
height = y_max - y_min
try:
count = height / distance
except ZeroDivisionError:
return []
if limit and count > limit:
return []
vm.valid_low_value = y_min - distance
vm.valid_high_value = y_max + distance
vm.scanline(y_min - distance)
points = list()
forward = True
while vm.valid_range():
vm.next_intercept(distance)
vm.sort_actives()
y = vm.current
for i in (
range(1, len(vm.actives), 2)
if forward
else range(len(vm.actives) - 1, 0, -2)
):
left_segment = vm.actives[i - 1]
right_segment = vm.actives[i]
left_segment_x = vm.intercept(left_segment, y)
right_segment_x = vm.intercept(right_segment, y)
if forward:
points.append((left_segment_x, y))
points.append((right_segment_x, y))
else:
points.append((right_segment_x, y))
points.append((left_segment_x, y))
points.append(None)
forward = not forward
points = list(map(mx_counter, points))
return points
def draw_cutcode(self,
cutcode: CutCode,
gc: wx.GraphicsContext,
x: int = 0,
y: int = 0):
"""
Draw cutcode object into wxPython graphics code.
This code accepts x,y offset values. The cutcode laser offset can be set with a
command with the rest of the cutcode remaining the same. So drawing the cutcode
requires knowing what, if any offset is currently being applied.
@param cutcode: flat cutcode object to draw.
@param gc: wx.graphics context
@param x: offset in x direction
@param y: offset in y direction
@return:
"""
p = None
last_point = None
color = None
for cut in cutcode:
c = cut.line_color
if c is not color:
color = c
last_point = None
if p is not None:
gc.StrokePath(p)
del p
p = gc.CreatePath()
self.set_pen(gc, c, width=7.0, alpha=127)
start = cut.start
end = cut.end
if p is None:
p = gc.CreatePath()
if last_point != start:
p.MoveToPoint(start[0] + x, start[1] + y)
if isinstance(cut, LineCut):
# Standard line cut. Applies to path object.
p.AddLineToPoint(end[0] + x, end[1] + y)
elif isinstance(cut, QuadCut):
# Standard quadratic bezier cut
p.AddQuadCurveToPoint(cut.c()[0] + x,
cut.c()[1] + y, end[0] + x, end[1] + y)
elif isinstance(cut, CubicCut):
# Standard cubic bezier cut
p.AddCurveToPoint(
cut.c1()[0] + x,
cut.c1()[1] + y,
cut.c2()[0] + x,
cut.c2()[1] + y,
end[0] + x,
end[1] + y,
)
elif isinstance(cut, RasterCut):
# Rastercut object.
image = cut.image
gc.PushState()
matrix = Matrix.scale(cut.step_x, cut.step_y)
matrix.post_translate(cut.offset_x + x,
cut.offset_y + y) # Adjust image xy
gc.ConcatTransform(
wx.GraphicsContext.CreateMatrix(gc, ZMatrix(matrix)))
try:
cache = cut.cache
cache_id = cut.cache_id
except AttributeError:
cache = None
cache_id = -1
if cache_id != id(image):
# Cached image is invalid.
cache = None
if cache is None:
# No valid cache. Generate.
cut.c_width, cut.c_height = image.size
try:
cut.cache = self.make_thumbnail(image, maximum=5000)
except (MemoryError, RuntimeError):
cut.cache = None
cut.cache_id = id(image)
if cut.cache is not None:
# Cache exists and is valid.
gc.DrawBitmap(cut.cache, 0, 0, cut.c_width, cut.c_height)
else:
# Image was too large to cache, draw a red rectangle instead.
gc.SetBrush(wx.RED_BRUSH)
gc.DrawRectangle(0, 0, cut.c_width, cut.c_height)
gc.DrawBitmap(icons8_image_50.GetBitmap(), 0, 0,
cut.c_width, cut.c_height)
gc.PopState()
elif isinstance(cut, RawCut):
pass
elif isinstance(cut, PlotCut):
p.MoveToPoint(start[0] + x, start[1] + y)
for px, py, pon in cut.plot:
if pon == 0:
p.MoveToPoint(px + x, py + y)
else:
p.AddLineToPoint(px + x, py + y)
elif isinstance(cut, DwellCut):
pass
elif isinstance(cut, WaitCut):
pass
elif isinstance(cut, InputCut):
pass
elif isinstance(cut, OutputCut):
pass
last_point = end
if p is not None:
gc.StrokePath(p)
del p
class ViewPort:
"""
The width and height are of the viewport are stored in MK native units (nm).
Origin_x and origin_y are the location of the home position in unit square values.
This is to say 1,1 is the bottom left, and 0.5 0.5 is the middle of the bed.
user_scale is a scale factor for applied by the user rather than the driver.
native_scale is the scale factor of the driver units to MK native units
flip_x, flip_y, and swap_xy are used to apply whatever flips and swaps are needed.
"""
def __init__(
self,
width,
height,
origin_x=0.0,
origin_y=0.0,
user_scale_x=1.0,
user_scale_y=1.0,
native_scale_x=1.0,
native_scale_y=1.0,
flip_x=False,
flip_y=False,
swap_xy=False,
show_origin_x=None,
show_origin_y=None,
):
self._matrix = None
self._imatrix = None
self.width = width
self.height = height
self.origin_x = origin_x
self.origin_y = origin_y
self.user_scale_x = user_scale_x
self.user_scale_y = user_scale_y
self.native_scale_x = native_scale_x
self.native_scale_y = native_scale_y
self.flip_x = flip_x
self.flip_y = flip_y
self.swap_xy = swap_xy
if show_origin_x is None:
show_origin_x = origin_x
if show_origin_y is None:
show_origin_y = origin_y
self.show_origin_x = show_origin_x
self.show_origin_y = show_origin_y
self._width = None
self._height = None
self._offset_x = None
self._offset_y = None
self._scale_x = None
self._scale_y = None
self.realize()
def realize(self):
self._imatrix = None
self._matrix = None
self._width = Length(self.width, unitless=1.0).units
self._height = Length(self.height, unitless=1.0).units
self._offset_x = self._width * self.origin_x
self._offset_y = self._height * self.origin_y
self._scale_x = self.user_scale_x * self.native_scale_x
self._scale_y = self.user_scale_y * self.native_scale_y
def physical_to_scene_position(self, x, y, unitless=UNITS_PER_PIXEL):
"""
Converts an X,Y position into viewport units.
@param x:
@param y:
@param as_float:
@param unitless:
@return:
"""
unit_x = Length(x, relative_length=self._width,
unitless=unitless).units
unit_y = Length(y, relative_length=self._height,
unitless=unitless).units
return unit_x, unit_y
def physical_to_device_position(self, x, y, unitless=UNITS_PER_PIXEL):
"""
Converts an X,Y position into viewport units.
@param x:
@param y:
@param unitless:
@return:
"""
x, y = self.physical_to_scene_position(x, y, unitless)
return self.scene_to_device_position(x, y)
def physical_to_device_length(self, x, y, unitless=UNITS_PER_PIXEL):
"""
Converts an X,Y position into dx, dy.
@param x:
@param y:
@param unitless:
@return:
"""
x, y = self.physical_to_scene_position(x, y, unitless)
return self.scene_to_device_position(x, y, vector=True)
def device_to_scene_position(self, x, y):
if self._imatrix is None:
self.calculate_matrices()
point = self._imatrix.point_in_matrix_space((x, y))
return point.x, point.y
def scene_to_device_position(self, x, y, vector=False):
if self._matrix is None:
self.calculate_matrices()
if vector:
point = self._matrix.transform_vector([x, y])
return point[0], point[1]
else:
point = self._matrix.point_in_matrix_space((x, y))
return point.x, point.y
def calculate_matrices(self):
self._matrix = Matrix(self.scene_to_device_matrix())
self._imatrix = Matrix(self._matrix)
self._imatrix.inverse()
def device_to_scene_matrix(self):
if self._matrix is None:
self.calculate_matrices()
return self._imatrix
def scene_to_device_matrix(self):
ops = []
if self._scale_x != 1.0 or self._scale_y != 1.0:
ops.append("scale({sx:.13f}, {sy:.13f})".format(
sx=1.0 / self._scale_x, sy=1.0 / self._scale_y))
if self._offset_x != 0 or self._offset_y != 0:
ops.append("translate({dx:.13f}, {dy:.13f})".format(
dx=self._offset_x, dy=self._offset_y))
if self.flip_y:
ops.append("scale(1.0, -1.0)")
if self.flip_x:
ops.append("scale(-1.0, 1.0)")
if self.swap_xy:
ops.append("scale(-1.0, 1.0) rotate(90deg)")
return " ".join(ops)
def length(
self,
value,
axis=None,
new_units=None,
relative_length=None,
as_float=False,
unitless=UNITS_PER_PIXEL,
digits=None,
scale=None,
):
"""
Axis 0 is X
Axis 1 is Y
Axis -1 is 1D in x, y space. e.g. a line width.
Convert a length of distance {value} to new native values.
@param value:
@param axis:
@param new_units:
@param relative_length:
@param as_float:
@param unitless: factor for units with no units sets.
@param scale: scale length by given factor.
@return:
"""
if axis == 0:
if relative_length is None:
relative_length = self.width
else:
if relative_length is None:
relative_length = self.height
length = Length(value,
relative_length=relative_length,
unitless=unitless,
digits=digits)
if scale is not None:
length *= scale
if new_units == "mm":
if as_float:
return length.mm
else:
return length.length_mm
elif new_units == "inch":
if as_float:
return length.inches
else:
return length.length_inches
elif new_units == "cm":
if as_float:
return length.cm
else:
return length.length_cm
elif new_units == "px":
if as_float:
return length.pixels
else:
return length.length_pixels
elif new_units == "mil":
if as_float:
return length.mil
else:
return length.length_mil
else:
return length.units
def contains(self, x, y):
x = self.length(x, 0)
y = self.length(y, 1)
if x >= self._width:
return False
if y >= self._height:
return False
if x < 0:
return False
if y < 0:
return False
return True
def bbox(self):
return (
0,
0,
self.unit_width,
self.unit_height,
)
def dpi_to_steps(self, dpi, matrix=None):
"""
Converts a DPI to a given step amount within the device length values. So M2 Nano will have 1 step per mil,
the DPI of 500 therefore is step_x 2, step_y 2. A Galvo laser with a 200mm lens will have steps equal to
200mm/65536 ~= 0.12 mils. So a DPI of 500 needs a step size of ~16.65 for x and y. Since 500 DPI is one dot
per 2 mils.
Note, steps size can be negative if our driver is x or y flipped.
@param dpi:
@return:
"""
# We require vectors so any positional offsets are non-contributing.
unit_x = UNITS_PER_INCH
unit_y = UNITS_PER_INCH
if matrix is None:
if self._matrix is None:
self.calculate_matrices()
matrix = self._matrix
oneinch_x = matrix.transform_vector([unit_x, 0])[0]
oneinch_y = matrix.transform_vector([0, unit_y])[1]
step_x = float(oneinch_x / dpi)
step_y = float(oneinch_y / dpi)
return step_x, step_y
@property
def length_width(self):
return Length(self.width)
@property
def length_height(self):
return Length(self.height)
@property
def unit_width(self):
return float(Length(self.width))
@property
def unit_height(self):
return float(Length(self.height))
@staticmethod
def viewbox_transform(e_x, e_y, e_width, e_height, vb_x, vb_y, vb_width,
vb_height, aspect):
"""
SVG 1.1 7.2, SVG 2.0 8.2 equivalent transform of an SVG viewport.
With regards to https://github.com/w3c/svgwg/issues/215 use 8.2 version.
It creates transform commands equal to that viewport expected.
Let e-x, e-y, e-width, e-height be the position and size of the element respectively.
Let vb-x, vb-y, vb-width, vb-height be the min-x, min-y, width and height values of the viewBox attribute
respectively.
Let align be align value of preserveAspectRatio, or 'xMidYMid' if preserveAspectRatio is not defined.
Let meetOrSlice be the meetOrSlice value of preserveAspectRatio, or 'meet' if preserveAspectRatio is not defined
or if meetOrSlice is missing from this value.
@param e_x: element_x value
@param e_y: element_y value
@param e_width: element_width value
@param e_height: element_height value
@param vb_x: viewbox_x value
@param vb_y: viewbox_y value
@param vb_width: viewbox_width value
@param vb_height: viewbox_height value
@param aspect: preserve aspect ratio value
@return: string of the SVG transform commands to account for the viewbox.
"""
if (e_x is None or e_y is None or e_width is None or e_height is None
or vb_x is None or vb_y is None or vb_width is None
or vb_height is None):
return ""
if aspect is not None:
aspect_slice = aspect.split(" ")
try:
align = aspect_slice[0]
except IndexError:
align = "xMidyMid"
try:
meet_or_slice = aspect_slice[1]
except IndexError:
meet_or_slice = "meet"
else:
align = "xMidyMid"
meet_or_slice = "meet"
# Initialize scale-x to e-width/vb-width.
scale_x = e_width / vb_width
# Initialize scale-y to e-height/vb-height.
scale_y = e_height / vb_height
# If align is not 'none' and meetOrSlice is 'meet', set the larger of scale-x and scale-y to the smaller.
if align != "none" and meet_or_slice == "meet":
scale_x = scale_y = min(scale_x, scale_y)
# Otherwise, if align is not 'none' and meetOrSlice is 'slice', set the smaller of scale-x and scale-y to the larger
elif align != "none" and meet_or_slice == "slice":
scale_x = scale_y = max(scale_x, scale_y)
# Initialize translate-x to e-x - (vb-x * scale-x).
translate_x = e_x - (vb_x * scale_x)
# Initialize translate-y to e-y - (vb-y * scale-y)
translate_y = e_y - (vb_y * scale_y)
# If align contains 'xMid', add (e-width - vb-width * scale-x) / 2 to translate-x.
align = align.lower()
if "xmid" in align:
translate_x += (e_width - vb_width * scale_x) / 2.0
# If align contains 'xMax', add (e-width - vb-width * scale-x) to translate-x.
if "xmax" in align:
translate_x += e_width - vb_width * scale_x
# If align contains 'yMid', add (e-height - vb-height * scale-y) / 2 to translate-y.
if "ymid" in align:
translate_y += (e_height - vb_height * scale_y) / 2.0
# If align contains 'yMax', add (e-height - vb-height * scale-y) to translate-y.
if "ymax" in align:
translate_y += e_height - vb_height * scale_y
# The transform applied to content contained by the element is given by:
# translate(translate-x, translate-y) scale(scale-x, scale-y)
if isinstance(scale_x, Length) or isinstance(scale_y, Length):
raise ValueError
if translate_x == 0 and translate_y == 0:
if scale_x == 1 and scale_y == 1:
return "" # Nothing happens.
else:
return "scale(%s, %s)" % (Length.str(scale_x),
Length.str(scale_y))
else:
if scale_x == 1 and scale_y == 1:
return "translate(%s, %s)" % (
Length.str(translate_x),
Length.str(translate_y),
)
else:
return "translate(%s, %s) scale(%s, %s)" % (
Length.str(translate_x),
Length.str(translate_y),
Length.str(scale_x),
Length.str(scale_y),
)
@staticmethod
def conversion(units, amount=1):
return Length("{amount}{units}".format(units=units,
amount=amount)).preferred
def calculate_matrices(self):
self._matrix = Matrix(self.scene_to_device_matrix())
self._imatrix = Matrix(self._matrix)
self._imatrix.inverse()
def aspect_matrix(self):
"""
Specifically view the scene with the given Viewbox.
"""
if self._frame and self._view and self.aspect:
self.scene_widget.matrix = Matrix(self._view.transform(self._frame))
def make_raster(
self,
nodes,
bounds,
width=None,
height=None,
bitmap=False,
step_x=1,
step_y=1,
keep_ratio=False,
recursion=0,
):
"""
Make Raster turns an iterable of elements and a bounds into an image of the designated size, taking into account
the step size. The physical pixels in the image is reduced by the step size then the matrix for the element is
scaled up by the same amount. This makes step size work like inverse dpi and correctly sets the image scale to
the step scale for 1:1 sizes independent of the scale.
This function requires both wxPython and Pillow.
@param nodes: elements to render.
@param bounds: bounds of those elements for the viewport.
@param width: desired width of the resulting raster
@param height: desired height of the resulting raster
@param bitmap: bitmap to use rather than provisioning
@param step: raster step rate, int scale rate of the image.
@param keepratio: get a picture with the same height / width
ratio as the original
@return:
"""
if bounds is None:
return None
xxmin = float("inf")
yymin = float("inf")
xxmax = -float("inf")
yymax = -float("inf")
# print ("Recursion=%d" % recursion)
if not isinstance(nodes, (tuple, list)):
mynodes = [nodes]
else:
mynodes = nodes
if recursion == 0:
# Do it only once...
textnodes = []
for item in mynodes:
if item.type == "elem text":
if item.text.width == 0 or item.text.height == 0:
textnodes.append(item)
if len(textnodes) > 0:
# print ("Invalid textnodes found, call me again...")
self.make_raster(
nodes=textnodes,
bounds=bounds,
width=width,
height=height,
bitmap=bitmap,
step_x=step_x,
step_y=step_y,
keep_ratio=keep_ratio,
recursion=1,
)
for item in mynodes:
bb = item.bounds
# if item.type == "elem text":
# print ("Bounds for text: %.1f, %.1f, %.1f, %.1f, w=%.1f, h=%.1f)" % (bb[0], bb[1], bb[2], bb[3], item.text.width, item.text.height))
if bb[0] < xxmin:
xxmin = bb[0]
if bb[1] < yymin:
yymin = bb[1]
if bb[2] > xxmax:
xxmax = bb[2]
if bb[3] > yymax:
yymax = bb[3]
xmin = xxmin
ymin = yymin
xmax = xxmax
ymax = yymax
xmax = ceil(xmax)
ymax = ceil(ymax)
xmin = floor(xmin)
ymin = floor(ymin)
# print ("Bounds: %.1f, %.1f, %.1f, %.1f, Mine: %.1f, %.1f, %.1f, %.1f)" % (xmin, ymin, xmax, ymax, xxmin, yymin, xxmax, yymax))
image_width = int(xmax - xmin)
if image_width == 0:
image_width = 1
image_height = int(ymax - ymin)
if image_height == 0:
image_height = 1
if width is None:
width = image_width
if height is None:
height = image_height
# Scale physical image down by step amount.
width /= float(step_x)
height /= float(step_y)
width = int(ceil(abs(width)))
height = int(ceil(abs(height)))
if width <= 0:
width = 1
if height <= 0:
height = 1
bmp = wx.Bitmap(width, height, 32)
dc = wx.MemoryDC()
dc.SelectObject(bmp)
dc.SetBackground(wx.WHITE_BRUSH)
dc.Clear()
matrix = Matrix()
matrix.post_translate(-xmin, -ymin)
# Scale affine matrix up by step amount scaled down.
scale_x = width / float(image_width)
scale_y = height / float(image_height)
if keep_ratio:
scale_x = min(scale_x, scale_y)
scale_y = scale_x
matrix.post_scale(scale_x, scale_y)
gc = wx.GraphicsContext.Create(dc)
gc.SetInterpolationQuality(wx.INTERPOLATION_BEST)
gc.PushState()
if not matrix.is_identity():
gc.ConcatTransform(
wx.GraphicsContext.CreateMatrix(gc, ZMatrix(matrix)))
if not isinstance(nodes, (list, tuple)):
nodes = [nodes]
gc.SetBrush(wx.WHITE_BRUSH)
gc.DrawRectangle(xmin - 1, ymin - 1, xmax + 1, ymax + 1)
self.render(nodes, gc, draw_mode=DRAW_MODE_CACHE | DRAW_MODE_VARIABLES)
img = bmp.ConvertToImage()
buf = img.GetData()
image = Image.frombuffer("RGB", tuple(bmp.GetSize()), bytes(buf),
"raw", "RGB", 0, 1)
gc.PopState()
dc.SelectObject(wx.NullBitmap)
gc.Destroy()
del dc
if bitmap:
return bmp
# for item in mynodes:
# bb = item.bounds
# if item.type == "elem text":
# print ("Afterwards Bounds for text: %.1f, %.1f, %.1f, %.1f, w=%.1f, h=%.1f)" % (bb[0], bb[1], bb[2], bb[3], item.text.width, item.text.height))
return image
class PointNode(Node):
"""
PointNode is the bootstrapped node type for the 'elem path' type.
"""
def __init__(
self,
point=None,
matrix=None,
fill=None,
stroke=None,
stroke_width=None,
**kwargs,
):
super(PointNode, self).__init__(type="elem point", **kwargs)
self._formatter = "{element_type} {id} {stroke}"
self.point = point
self.matrix = matrix
self.settings = kwargs
self.fill = fill
self.stroke = stroke
self.stroke_width = stroke_width
self.lock = False
def __copy__(self):
return PointNode(
point=copy(self.point),
matrix=copy(self.matrix),
fill=copy(self.fill),
stroke=copy(self.stroke),
stroke_width=self.stroke_width,
**self.settings,
)
def validate(self):
if self.point is None:
self.point = Point(
float(self.settings.get("x", 0)), float(self.settings.get("y", 0))
)
if self.matrix is None:
self.matrix = Matrix()
def preprocess(self, context, matrix, commands):
self.matrix *= matrix
self._bounds_dirty = True
@property
def bounds(self):
if self._bounds_dirty:
p = self.matrix.transform_point(self.point)
self._bounds = (
p[0],
p[1],
p[0],
p[1],
)
return self._bounds
def default_map(self, default_map=None):
default_map = super(PointNode, self).default_map(default_map=default_map)
default_map["element_type"] = "Point"
if self.point is not None:
default_map["x"] = self.point[0]
default_map["y"] = self.point[1]
else:
default_map["x"] = 0
default_map["y"] = 0
default_map.update(self.settings)
default_map["stroke"] = self.stroke
default_map["fill"] = self.fill
default_map["stroke-width"] = self.stroke_width
default_map["matrix"] = self.matrix
return default_map
def drop(self, drag_node, modify=True):
# Dragging element into element.
if drag_node.type.startswith("elem"):
if modify:
self.insert_sibling(drag_node)
return True
return False
def revalidate_points(self):
bounds = self.bounds
if bounds is None:
return
if len(self._points) < 9:
self._points.extend([None] * (9 - len(self._points)))
self._points[0] = [bounds[0], bounds[1], "bounds top_left"]
self._points[1] = [bounds[2], bounds[1], "bounds top_right"]
self._points[2] = [bounds[0], bounds[3], "bounds bottom_left"]
self._points[3] = [bounds[2], bounds[3], "bounds bottom_right"]
cx = (bounds[0] + bounds[2]) / 2
cy = (bounds[1] + bounds[3]) / 2
self._points[4] = [cx, cy, "bounds center_center"]
self._points[5] = [cx, bounds[1], "bounds top_center"]
self._points[6] = [cx, bounds[3], "bounds bottom_center"]
self._points[7] = [bounds[0], cy, "bounds center_left"]
self._points[8] = [bounds[2], cy, "bounds center_right"]
self._points.append([self.point.x, self.point.y, "point"])
def update_point(self, index, point):
return False
def add_point(self, point, index=None):
return False
def process_image(self):
if self.step_x is None:
step = UNITS_PER_INCH / self.dpi
self.step_x = step
self.step_y = step
from PIL import Image, ImageEnhance, ImageFilter, ImageOps
from meerk40t.image.actualize import actualize
from meerk40t.image.imagetools import dither
image = self.image
main_matrix = self.matrix
r = self.red * 0.299
g = self.green * 0.587
b = self.blue * 0.114
v = self.lightness
c = r + g + b
try:
c /= v
r = r / c
g = g / c
b = b / c
except ZeroDivisionError:
pass
if image.mode != "L":
image = image.convert("RGB")
image = image.convert("L", matrix=[r, g, b, 1.0])
if self.invert:
image = image.point(lambda e: 255 - e)
# Calculate device real step.
step_x, step_y = self.step_x, self.step_y
if (
main_matrix.a != step_x
or main_matrix.b != 0.0
or main_matrix.c != 0.0
or main_matrix.d != step_y
):
try:
image, actualized_matrix = actualize(
image,
main_matrix,
step_x=step_x,
step_y=step_y,
inverted=self.invert,
)
except (MemoryError, DecompressionBombError):
self.process_image_failed = True
return
else:
actualized_matrix = Matrix(main_matrix)
if self.invert:
empty_mask = image.convert("L").point(lambda e: 0 if e == 0 else 255)
else:
empty_mask = image.convert("L").point(lambda e: 0 if e == 255 else 255)
# Process operations.
for op in self.operations:
name = op["name"]
if name == "crop":
try:
if op["enable"] and op["bounds"] is not None:
crop = op["bounds"]
left = int(crop[0])
upper = int(crop[1])
right = int(crop[2])
lower = int(crop[3])
image = image.crop((left, upper, right, lower))
except KeyError:
pass
elif name == "edge_enhance":
try:
if op["enable"]:
if image.mode == "P":
image = image.convert("L")
image = image.filter(filter=ImageFilter.EDGE_ENHANCE)
except KeyError:
pass
elif name == "auto_contrast":
try:
if op["enable"]:
if image.mode not in ("RGB", "L"):
# Auto-contrast raises NotImplementedError if P
# Auto-contrast raises OSError if not RGB, L.
image = image.convert("L")
image = ImageOps.autocontrast(image, cutoff=op["cutoff"])
except KeyError:
pass
elif name == "tone":
try:
if op["enable"] and op["values"] is not None:
if image.mode == "L":
image = image.convert("P")
tone_values = op["values"]
if op["type"] == "spline":
spline = ImageNode.spline(tone_values)
else:
tone_values = [q for q in tone_values if q is not None]
spline = ImageNode.line(tone_values)
if len(spline) < 256:
spline.extend([255] * (256 - len(spline)))
if len(spline) > 256:
spline = spline[:256]
image = image.point(spline)
if image.mode != "L":
image = image.convert("L")
except KeyError:
pass
elif name == "contrast":
try:
if op["enable"]:
if op["contrast"] is not None and op["brightness"] is not None:
contrast = ImageEnhance.Contrast(image)
c = (op["contrast"] + 128.0) / 128.0
image = contrast.enhance(c)
brightness = ImageEnhance.Brightness(image)
b = (op["brightness"] + 128.0) / 128.0
image = brightness.enhance(b)
except KeyError:
pass
elif name == "gamma":
try:
if op["enable"] and op["factor"] is not None:
if image.mode == "L":
gamma_factor = float(op["factor"])
def crimp(px):
px = int(round(px))
if px < 0:
return 0
if px > 255:
return 255
return px
if gamma_factor == 0:
gamma_lut = [0] * 256
else:
gamma_lut = [
crimp(pow(i / 255, (1.0 / gamma_factor)) * 255)
for i in range(256)
]
image = image.point(gamma_lut)
if image.mode != "L":
image = image.convert("L")
except KeyError:
pass
elif name == "unsharp_mask":
try:
if (
op["enable"]
and op["percent"] is not None
and op["radius"] is not None
and op["threshold"] is not None
):
unsharp = ImageFilter.UnsharpMask(
radius=op["radius"],
percent=op["percent"],
threshold=op["threshold"],
)
image = image.filter(unsharp)
except (KeyError, ValueError): # Value error if wrong type of image.
pass
elif name == "halftone":
try:
if op["enable"]:
image = RasterScripts.halftone(
image,
sample=op["sample"],
angle=op["angle"],
oversample=op["oversample"],
black=op["black"],
)
except KeyError:
pass
if empty_mask is not None:
background = Image.new(image.mode, image.size, "white")
background.paste(image, mask=empty_mask)
image = background # Mask exists use it to remove any pixels that were pure reject.
if self.dither and self.dither_type is not None:
if self.dither_type != "Floyd-Steinberg":
image = dither(image, self.dither_type)
image = image.convert("1")
inverted_main_matrix = Matrix(main_matrix).inverse()
self.processed_matrix = actualized_matrix * inverted_main_matrix
self.processed_image = image
# self.matrix = actualized_matrix
self.altered()
self.process_image_failed = False
def __init__(
self,
image=None,
matrix=None,
overscan=None,
direction=None,
dpi=500,
operations=None,
**kwargs,
):
super(ImageNode, self).__init__(type="elem image", **kwargs)
self.__formatter = "{element_type} {width}x{height}"
if "href" in kwargs:
self.matrix = Matrix()
try:
from PIL import Image as PILImage
self.image = PILImage.open(kwargs["href"])
if "x" in kwargs:
self.matrix.post_translate_x(kwargs["x"])
if "y" in kwargs:
self.matrix.post_translate_x(kwargs["y"])
real_width, real_height = self.image.size
declared_width, declared_height = real_width, real_height
if "width" in kwargs:
declared_width = kwargs["width"]
if "height" in kwargs:
declared_height = kwargs["height"]
try:
sx = declared_width / real_width
sy = declared_height / real_height
self.matrix.post_scale(sx, sy)
except ZeroDivisionError:
pass
except ImportError:
self.image = None
else:
self.image = image
self.matrix = matrix
self.processed_image = None
self.processed_matrix = None
self.process_image_failed = False
self.text = None
self._needs_update = False
self._update_thread = None
self._update_lock = threading.Lock()
self.settings = kwargs
self.overscan = overscan
self.direction = direction
self.dpi = dpi
self.step_x = None
self.step_y = None
self.lock = False
self.invert = False
self.red = 1.0
self.green = 1.0
self.blue = 1.0
self.lightness = 1.0
self.view_invert = False
self.dither = True
self.dither_type = "Floyd-Steinberg"
if operations is None:
operations = list()
self.operations = operations
class ImageNode(Node):
"""
ImageNode is the bootstrapped node type for the 'elem image' type.
ImageNode contains a main matrix, main image. A processed image and a processed matrix.
The processed matrix must be concated with the main matrix to be accurate.
"""
def __init__(
self,
image=None,
matrix=None,
overscan=None,
direction=None,
dpi=500,
operations=None,
**kwargs,
):
super(ImageNode, self).__init__(type="elem image", **kwargs)
self.__formatter = "{element_type} {width}x{height}"
if "href" in kwargs:
self.matrix = Matrix()
try:
from PIL import Image as PILImage
self.image = PILImage.open(kwargs["href"])
if "x" in kwargs:
self.matrix.post_translate_x(kwargs["x"])
if "y" in kwargs:
self.matrix.post_translate_x(kwargs["y"])
real_width, real_height = self.image.size
declared_width, declared_height = real_width, real_height
if "width" in kwargs:
declared_width = kwargs["width"]
if "height" in kwargs:
declared_height = kwargs["height"]
try:
sx = declared_width / real_width
sy = declared_height / real_height
self.matrix.post_scale(sx, sy)
except ZeroDivisionError:
pass
except ImportError:
self.image = None
else:
self.image = image
self.matrix = matrix
self.processed_image = None
self.processed_matrix = None
self.process_image_failed = False
self.text = None
self._needs_update = False
self._update_thread = None
self._update_lock = threading.Lock()
self.settings = kwargs
self.overscan = overscan
self.direction = direction
self.dpi = dpi
self.step_x = None
self.step_y = None
self.lock = False
self.invert = False
self.red = 1.0
self.green = 1.0
self.blue = 1.0
self.lightness = 1.0
self.view_invert = False
self.dither = True
self.dither_type = "Floyd-Steinberg"
if operations is None:
operations = list()
self.operations = operations
def __copy__(self):
return ImageNode(
image=self.image,
matrix=copy(self.matrix),
overscan=self.overscan,
direction=self.direction,
dpi=self.dpi,
operations=self.operations,
**self.settings,
)
def __repr__(self):
return "%s('%s', %s, %s)" % (
self.__class__.__name__,
self.type,
str(self.image),
str(self._parent),
)
@property
def active_image(self):
if self.processed_image is not None:
return self.processed_image
else:
return self.image
@property
def active_matrix(self):
if self.processed_matrix is None:
return self.matrix
return self.processed_matrix * self.matrix
def preprocess(self, context, matrix, commands):
"""
Preprocess step during the cut planning stages.
We require a context to calculate the correct step values relative to the device
"""
self.step_x, self.step_y = context.device.dpi_to_steps(self.dpi)
self.matrix *= matrix
self._bounds_dirty = True
self.process_image()
@property
def bounds(self):
if self._bounds_dirty:
image_width, image_height = self.active_image.size
matrix = self.active_matrix
x0, y0 = matrix.point_in_matrix_space((0, 0))
x1, y1 = matrix.point_in_matrix_space((image_width, image_height))
x2, y2 = matrix.point_in_matrix_space((0, image_height))
x3, y3 = matrix.point_in_matrix_space((image_width, 0))
self._bounds_dirty = False
self._bounds = (
min(x0, x1, x2, x3),
min(y0, y1, y2, y3),
max(x0, x1, x2, x3),
max(y0, y1, y2, y3),
)
return self._bounds
def default_map(self, default_map=None):
default_map = super(ImageNode, self).default_map(default_map=default_map)
default_map.update(self.settings)
image = self.active_image
default_map["width"] = image.width
default_map["height"] = image.height
default_map["element_type"] = "Image"
default_map["matrix"] = self.matrix
default_map["dpi"] = self.dpi
default_map["overscan"] = self.overscan
default_map["direction"] = self.direction
return default_map
def drop(self, drag_node, modify=True):
# Dragging element into element.
if drag_node.type.startswith("elem"):
if modify:
self.insert_sibling(drag_node)
return True
return False
def revalidate_points(self):
bounds = self.bounds
if bounds is None:
return
if len(self._points) < 9:
self._points.extend([None] * (9 - len(self._points)))
self._points[0] = [bounds[0], bounds[1], "bounds top_left"]
self._points[1] = [bounds[2], bounds[1], "bounds top_right"]
self._points[2] = [bounds[0], bounds[3], "bounds bottom_left"]
self._points[3] = [bounds[2], bounds[3], "bounds bottom_right"]
cx = (bounds[0] + bounds[2]) / 2
cy = (bounds[1] + bounds[3]) / 2
self._points[4] = [cx, cy, "bounds center_center"]
self._points[5] = [cx, bounds[1], "bounds top_center"]
self._points[6] = [cx, bounds[3], "bounds bottom_center"]
self._points[7] = [bounds[0], cy, "bounds center_left"]
self._points[8] = [bounds[2], cy, "bounds center_right"]
def update_point(self, index, point):
return False
def add_point(self, point, index=None):
return False
def update(self, context):
self._needs_update = True
self.text = "Processing..."
context.signal("refresh_scene", "Scene")
if self._update_thread is None:
def clear(result):
if self.process_image_failed:
self.text = "Process image could not exist in memory."
else:
self.text = None
self._needs_update = False
self._update_thread = None
context.signal("refresh_scene", "Scene")
context.signal("image updated", self)
self.processed_image = None
self.processed_matrix = None
self._update_thread = context.threaded(
self.process_image_thread, result=clear, daemon=True
)
def process_image_thread(self):
while self._needs_update:
self._needs_update = False
self.process_image()
# Unset cache.
self.wx_bitmap_image = None
self.cache = None
def process_image(self):
if self.step_x is None:
step = UNITS_PER_INCH / self.dpi
self.step_x = step
self.step_y = step
from PIL import Image, ImageEnhance, ImageFilter, ImageOps
from meerk40t.image.actualize import actualize
from meerk40t.image.imagetools import dither
image = self.image
main_matrix = self.matrix
r = self.red * 0.299
g = self.green * 0.587
b = self.blue * 0.114
v = self.lightness
c = r + g + b
try:
c /= v
r = r / c
g = g / c
b = b / c
except ZeroDivisionError:
pass
if image.mode != "L":
image = image.convert("RGB")
image = image.convert("L", matrix=[r, g, b, 1.0])
if self.invert:
image = image.point(lambda e: 255 - e)
# Calculate device real step.
step_x, step_y = self.step_x, self.step_y
if (
main_matrix.a != step_x
or main_matrix.b != 0.0
or main_matrix.c != 0.0
or main_matrix.d != step_y
):
try:
image, actualized_matrix = actualize(
image,
main_matrix,
step_x=step_x,
step_y=step_y,
inverted=self.invert,
)
except (MemoryError, DecompressionBombError):
self.process_image_failed = True
return
else:
actualized_matrix = Matrix(main_matrix)
if self.invert:
empty_mask = image.convert("L").point(lambda e: 0 if e == 0 else 255)
else:
empty_mask = image.convert("L").point(lambda e: 0 if e == 255 else 255)
# Process operations.
for op in self.operations:
name = op["name"]
if name == "crop":
try:
if op["enable"] and op["bounds"] is not None:
crop = op["bounds"]
left = int(crop[0])
upper = int(crop[1])
right = int(crop[2])
lower = int(crop[3])
image = image.crop((left, upper, right, lower))
except KeyError:
pass
elif name == "edge_enhance":
try:
if op["enable"]:
if image.mode == "P":
image = image.convert("L")
image = image.filter(filter=ImageFilter.EDGE_ENHANCE)
except KeyError:
pass
elif name == "auto_contrast":
try:
if op["enable"]:
if image.mode not in ("RGB", "L"):
# Auto-contrast raises NotImplementedError if P
# Auto-contrast raises OSError if not RGB, L.
image = image.convert("L")
image = ImageOps.autocontrast(image, cutoff=op["cutoff"])
except KeyError:
pass
elif name == "tone":
try:
if op["enable"] and op["values"] is not None:
if image.mode == "L":
image = image.convert("P")
tone_values = op["values"]
if op["type"] == "spline":
spline = ImageNode.spline(tone_values)
else:
tone_values = [q for q in tone_values if q is not None]
spline = ImageNode.line(tone_values)
if len(spline) < 256:
spline.extend([255] * (256 - len(spline)))
if len(spline) > 256:
spline = spline[:256]
image = image.point(spline)
if image.mode != "L":
image = image.convert("L")
except KeyError:
pass
elif name == "contrast":
try:
if op["enable"]:
if op["contrast"] is not None and op["brightness"] is not None:
contrast = ImageEnhance.Contrast(image)
c = (op["contrast"] + 128.0) / 128.0
image = contrast.enhance(c)
brightness = ImageEnhance.Brightness(image)
b = (op["brightness"] + 128.0) / 128.0
image = brightness.enhance(b)
except KeyError:
pass
elif name == "gamma":
try:
if op["enable"] and op["factor"] is not None:
if image.mode == "L":
gamma_factor = float(op["factor"])
def crimp(px):
px = int(round(px))
if px < 0:
return 0
if px > 255:
return 255
return px
if gamma_factor == 0:
gamma_lut = [0] * 256
else:
gamma_lut = [
crimp(pow(i / 255, (1.0 / gamma_factor)) * 255)
for i in range(256)
]
image = image.point(gamma_lut)
if image.mode != "L":
image = image.convert("L")
except KeyError:
pass
elif name == "unsharp_mask":
try:
if (
op["enable"]
and op["percent"] is not None
and op["radius"] is not None
and op["threshold"] is not None
):
unsharp = ImageFilter.UnsharpMask(
radius=op["radius"],
percent=op["percent"],
threshold=op["threshold"],
)
image = image.filter(unsharp)
except (KeyError, ValueError): # Value error if wrong type of image.
pass
elif name == "halftone":
try:
if op["enable"]:
image = RasterScripts.halftone(
image,
sample=op["sample"],
angle=op["angle"],
oversample=op["oversample"],
black=op["black"],
)
except KeyError:
pass
if empty_mask is not None:
background = Image.new(image.mode, image.size, "white")
background.paste(image, mask=empty_mask)
image = background # Mask exists use it to remove any pixels that were pure reject.
if self.dither and self.dither_type is not None:
if self.dither_type != "Floyd-Steinberg":
image = dither(image, self.dither_type)
image = image.convert("1")
inverted_main_matrix = Matrix(main_matrix).inverse()
self.processed_matrix = actualized_matrix * inverted_main_matrix
self.processed_image = image
# self.matrix = actualized_matrix
self.altered()
self.process_image_failed = False
@staticmethod
def line(p):
N = len(p) - 1
try:
m = [(p[i + 1][1] - p[i][1]) / (p[i + 1][0] - p[i][0]) for i in range(0, N)]
except ZeroDivisionError:
m = [1] * N
# b = y - mx
b = [p[i][1] - (m[i] * p[i][0]) for i in range(0, N)]
r = list()
for i in range(0, p[0][0]):
r.append(0)
for i in range(len(p) - 1):
x0 = p[i][0]
x1 = p[i + 1][0]
range_list = [int(round((m[i] * x) + b[i])) for x in range(x0, x1)]
r.extend(range_list)
for i in range(p[-1][0], 256):
r.append(255)
r.append(round(int(p[-1][1])))
return r
@staticmethod
def spline(p):
"""
Spline interpreter.
Returns all integer locations between different spline interpolation values
@param p: points to be quad spline interpolated.
@return: integer y values for given spline points.
"""
try:
N = len(p) - 1
w = [(p[i + 1][0] - p[i][0]) for i in range(0, N)]
h = [(p[i + 1][1] - p[i][1]) / w[i] for i in range(0, N)]
ftt = (
[0]
+ [3 * (h[i + 1] - h[i]) / (w[i + 1] + w[i]) for i in range(0, N - 1)]
+ [0]
)
A = [(ftt[i + 1] - ftt[i]) / (6 * w[i]) for i in range(0, N)]
B = [ftt[i] / 2 for i in range(0, N)]
C = [h[i] - w[i] * (ftt[i + 1] + 2 * ftt[i]) / 6 for i in range(0, N)]
D = [p[i][1] for i in range(0, N)]
except ZeroDivisionError:
return list(range(256))
r = list()
for i in range(0, p[0][0]):
r.append(0)
for i in range(len(p) - 1):
a = p[i][0]
b = p[i + 1][0]
r.extend(
int(
round(
A[i] * (x - a) ** 3
+ B[i] * (x - a) ** 2
+ C[i] * (x - a)
+ D[i]
)
)
for x in range(a, b)
)
for i in range(p[-1][0], 256):
r.append(255)
r.append(round(int(p[-1][1])))
return r
def as_path(self):
image_width, image_height = self.active_image.size
matrix = self.active_matrix
x0, y0 = matrix.point_in_matrix_space((0, 0))
x1, y1 = matrix.point_in_matrix_space((0, image_height))
x2, y2 = matrix.point_in_matrix_space((image_width, image_height))
x3, y3 = matrix.point_in_matrix_space((image_width, 0))
return abs(Path(Polygon((x0,y0), (x1,y1), (x2,y2), (x3,y3), (x0,y0))))
def test_cutcode_image(self):
"""
Convert CutCode from Image operation
Test image-based crosshatched setting
:return:
"""
laserop = ImageOpNode()
# Add Path
initial = "M 0,0 L 100,100 L 0,0 M 50,-50 L 100,-100 M 0,0 Q 100,100 200,0"
path = Path(initial)
laserop.add_node(PathNode(path))
# Add SVG Image1
image = Image.new("RGBA", (256, 256), (255, 255, 255, 0))
draw = ImageDraw.Draw(image)
draw.ellipse((50, 50, 150, 150), "white")
draw.ellipse((100, 100, 105, 105), "black")
inode1 = ImageNode(image=image, matrix=Matrix(), dpi=1000.0 / 3.0)
inode1.step_x = 3
inode1.step_y = 3
inode1.process_image()
laserop.add_node(inode1)
# Add SVG Image2
image2 = Image.new("RGBA", (256, 256), (255, 255, 255, 0))
draw = ImageDraw.Draw(image2)
draw.ellipse((50, 50, 150, 150), "white")
draw.ellipse((80, 80, 120, 120), "black")
inode2 = ImageNode(image=image2, matrix=Matrix(), dpi=500, direction=4)
inode2.step_x = 2
inode2.step_y = 2
inode2.process_image()
laserop.add_node(inode2) # crosshatch
for i in range(2): # Check for knockon
cutcode = CutCode(laserop.as_cutobjects())
self.assertEqual(len(cutcode), 3)
rastercut = cutcode[0]
self.assertTrue(isinstance(rastercut, RasterCut))
self.assertEqual(rastercut.offset_x, 100)
self.assertEqual(rastercut.offset_y, 100)
image = rastercut.image
self.assertTrue(isinstance(image, Image.Image))
self.assertIn(image.mode, ("L", "1"))
self.assertEqual(image.size, (2, 2)) # step value 2, 6/2
self.assertEqual(
rastercut.path, "M 100,100 L 100,106 L 106,106 L 106,100 Z"
)
rastercut1 = cutcode[1]
self.assertTrue(isinstance(rastercut1, RasterCut))
self.assertEqual(rastercut1.offset_x, 80)
self.assertEqual(rastercut1.offset_y, 80)
image1 = rastercut1.image
self.assertTrue(isinstance(image1, Image.Image))
self.assertIn(image1.mode, ("L", "1"))
self.assertEqual(image1.size, (21, 21)) # default step value 2, 40/2 + 1
self.assertEqual(rastercut1.path, "M 80,80 L 80,122 L 122,122 L 122,80 Z")
rastercut2 = cutcode[2]
self.assertTrue(isinstance(rastercut2, RasterCut))
self.assertEqual(rastercut2.offset_x, 80)
self.assertEqual(rastercut2.offset_y, 80)
image2 = rastercut2.image
self.assertTrue(isinstance(image2, Image.Image))
self.assertIn(image2.mode, ("L", "1"))
self.assertEqual(image2.size, (21, 21)) # default step value 2, 40/2 + 1
self.assertEqual(rastercut2.path, "M 80,80 L 80,122 L 122,122 L 122,80 Z")
def test_cutcode_image_crosshatch(self):
"""
Convert CutCode from Image Operation.
Test ImageOp Crosshatch Setting
:return:
"""
laserop = ImageOpNode(raster_direction=4)
# Add Path
initial = "M 0,0 L 100,100 L 0,0 M 50,-50 L 100,-100 M 0,0 Q 100,100 200,0"
path = Path(initial)
laserop.add_node(PathNode(path))
# Add SVG Image1
image1 = Image.new("RGBA", (256, 256), (255, 255, 255, 0))
draw = ImageDraw.Draw(image1)
draw.ellipse((50, 50, 150, 150), "white")
draw.ellipse((100, 100, 105, 105), "black")
inode = ImageNode(image=image1, matrix=Matrix(), dpi=1000.0 / 3.0)
inode.step_x = 3
inode.step_y = 3
inode.process_image()
laserop.add_node(inode)
# Add SVG Image2
image2 = Image.new("RGBA", (256, 256), (255, 255, 255, 0))
draw = ImageDraw.Draw(image2)
draw.ellipse((50, 50, 150, 150), "white")
draw.ellipse((80, 80, 120, 120), "black")
inode = ImageNode(image=image2, matrix=Matrix(), dpi=500.0)
inode.step_x = 2
inode.step_y = 2
inode.process_image()
laserop.add_node(inode)
# Add SVG Image3
inode = ImageNode(image=image2, matrix=Matrix(), dpi=1000.0 / 3.0)
inode.step_x = 3
inode.step_y = 3
inode.process_image()
laserop.add_node(inode)
cutcode = CutCode(laserop.as_cutobjects())
self.assertEqual(len(cutcode), 6)
rastercut1_0 = cutcode[0]
self.assertTrue(isinstance(rastercut1_0, RasterCut))
self.assertEqual(rastercut1_0.offset_x, 100)
self.assertEqual(rastercut1_0.offset_y, 100)
image = rastercut1_0.image
self.assertTrue(isinstance(image, Image.Image))
self.assertIn(image.mode, ("L", "1"))
self.assertEqual(image.size, (2, 2)) # step value 2, 6/2
self.assertEqual(rastercut1_0.path, "M 100,100 L 100,106 L 106,106 L 106,100 Z")
rastercut1_1 = cutcode[1]
self.assertTrue(isinstance(rastercut1_1, RasterCut))
self.assertEqual(rastercut1_1.offset_x, 100)
self.assertEqual(rastercut1_1.offset_y, 100)
image = rastercut1_1.image
self.assertTrue(isinstance(image, Image.Image))
self.assertIn(image.mode, ("L", "1"))
self.assertEqual(image.size, (2, 2)) # step value 2, 6/2
self.assertEqual(rastercut1_1.path, "M 100,100 L 100,106 L 106,106 L 106,100 Z")
rastercut2_0 = cutcode[2]
self.assertTrue(isinstance(rastercut2_0, RasterCut))
self.assertEqual(rastercut2_0.offset_x, 80)
self.assertEqual(rastercut2_0.offset_y, 80)
image1 = rastercut2_0.image
self.assertTrue(isinstance(image1, Image.Image))
self.assertIn(image1.mode, ("L", "1"))
self.assertEqual(image1.size, (21, 21)) # default step value 2, 40/2 + 1
self.assertEqual(rastercut2_0.path, "M 80,80 L 80,122 L 122,122 L 122,80 Z")
rastercut2_1 = cutcode[3]
self.assertTrue(isinstance(rastercut2_1, RasterCut))
self.assertEqual(rastercut2_1.offset_x, 80)
self.assertEqual(rastercut2_1.offset_y, 80)
image2 = rastercut2_1.image
self.assertTrue(isinstance(image2, Image.Image))
self.assertIn(image2.mode, ("L", "1"))
self.assertEqual(image2.size, (21, 21)) # default step value 2, 40/2 + 1
self.assertEqual(rastercut2_0.path, "M 80,80 L 80,122 L 122,122 L 122,80 Z")
rastercut3_0 = cutcode[4]
self.assertTrue(isinstance(rastercut3_0, RasterCut))
self.assertEqual(rastercut3_0.offset_x, 80)
self.assertEqual(rastercut3_0.offset_y, 80)
image3 = rastercut3_0.image
self.assertTrue(isinstance(image3, Image.Image))
self.assertIn(image3.mode, ("L", "1"))
self.assertEqual(image3.size, (14, 14)) # default step value 3, ceil(40/3) + 1
self.assertEqual(rastercut3_0.path, "M 80,80 L 80,122 L 122,122 L 122,80 Z")
rastercut3_1 = cutcode[5]
self.assertTrue(isinstance(rastercut3_1, RasterCut))
self.assertEqual(rastercut3_1.offset_x, 80)
self.assertEqual(rastercut3_1.offset_y, 80)
image4 = rastercut3_1.image
self.assertTrue(isinstance(image4, Image.Image))
self.assertIn(image4.mode, ("L", "1"))
self.assertEqual(image4.size, (14, 14)) # default step value 3, ceil(40/3) + 1
self.assertEqual(rastercut2_0.path, "M 80,80 L 80,122 L 122,122 L 122,80 Z")
