def add_transparency(qimage: QImage) -> QImage:
"""
Add transparent window borders according to Ubuntu 19.10 titlebar style
:param qimage: image with non transparent top left and right corners
:return: image with transparent top left and right corners
"""
if not qimage.hasAlphaChannel():
assert qimage.format() == QImage.Format_RGB32
transparent = QImage(qimage.size(), QImage.Format_ARGB32_Premultiplied)
transparent.fill(Qt.black)
painter = QPainter()
painter.begin(transparent)
painter.drawImage(0, 0, qimage)
painter.end()
qimage = transparent
image_width = qimage.width()
y = -1
for width in (5, 3, 2, 1):
y += 1
for x in range(width):
color = qimage.pixelColor(x, y)
color.setAlpha(0)
qimage.setPixelColor(x, y, color)
qimage.setPixelColor(image_width - x - 1, y, color)
return qimage
def _convert_image(self, qimage: QImage) -> Optional[QDBusArgument]:
"""Convert a QImage to the structure DBus expects.
https://specifications.freedesktop.org/notification-spec/latest/ar01s05.html#icons-and-images-formats
"""
bits_per_color = 8
has_alpha = qimage.hasAlphaChannel()
if has_alpha:
image_format = QImage.Format_RGBA8888
channel_count = 4
else:
image_format = QImage.Format_RGB888
channel_count = 3
qimage.convertTo(image_format)
bytes_per_line = qimage.bytesPerLine()
width = qimage.width()
height = qimage.height()
image_data = QDBusArgument()
image_data.beginStructure()
image_data.add(width)
image_data.add(height)
image_data.add(bytes_per_line)
image_data.add(has_alpha)
image_data.add(bits_per_color)
image_data.add(channel_count)
try:
size = qimage.sizeInBytes()
except TypeError:
# WORKAROUND for
# https://www.riverbankcomputing.com/pipermail/pyqt/2020-May/042919.html
# byteCount() is obsolete, but sizeInBytes() is only available with
# SIP >= 5.3.0.
size = qimage.byteCount()
# Despite the spec not mandating this, many notification daemons mandate that
# the last scanline does not have any padding bytes.
#
# Or in the words of dunst:
#
# The image is serialised rowwise pixel by pixel. The rows are aligned by a
# spacer full of garbage. The overall data length of data + garbage is
# called the rowstride.
#
# Mind the missing spacer at the last row.
#
# len: |<--------------rowstride---------------->|
# len: |<-width*pixelstride->|
# row 1: | data for row 1 | spacer of garbage |
# row 2: | data for row 2 | spacer of garbage |
# | . | spacer of garbage |
# | . | spacer of garbage |
# | . | spacer of garbage |
# row n-1: | data for row n-1 | spacer of garbage |
# row n: | data for row n |
#
# Source:
# https://github.com/dunst-project/dunst/blob/v1.6.1/src/icon.c#L292-L309
padding = bytes_per_line - width * channel_count
assert 0 <= padding <= 3, (padding, bytes_per_line, width,
channel_count)
size -= padding
if padding and self._quirks.no_padded_images:
return None
bits = qimage.constBits().asstring(size)
image_data.add(QByteArray(bits))
image_data.endStructure()
return image_data
def _generateSceneNode(self, file_name, xz_size, peak_height, base_height,
blur_iterations, max_size, lighter_is_higher,
use_transparency_model, transmittance_1mm):
scene_node = SceneNode()
mesh = MeshBuilder()
img = QImage(file_name)
if img.isNull():
Logger.log("e", "Image is corrupt.")
return None
width = max(img.width(), 2)
height = max(img.height(), 2)
aspect = height / width
if img.width() < 2 or img.height() < 2:
img = img.scaled(width, height, Qt.IgnoreAspectRatio)
base_height = max(base_height, 0)
peak_height = max(peak_height, -base_height)
xz_size = max(xz_size, 1)
scale_vector = Vector(xz_size, peak_height, xz_size)
if width > height:
scale_vector = scale_vector.set(z=scale_vector.z * aspect)
elif height > width:
scale_vector = scale_vector.set(x=scale_vector.x / aspect)
if width > max_size or height > max_size:
scale_factor = max_size / width
if height > width:
scale_factor = max_size / height
width = int(max(round(width * scale_factor), 2))
height = int(max(round(height * scale_factor), 2))
img = img.scaled(width, height, Qt.IgnoreAspectRatio)
width_minus_one = width - 1
height_minus_one = height - 1
Job.yieldThread()
texel_width = 1.0 / (width_minus_one) * scale_vector.x
texel_height = 1.0 / (height_minus_one) * scale_vector.z
height_data = numpy.zeros((height, width), dtype=numpy.float32)
for x in range(0, width):
for y in range(0, height):
qrgb = img.pixel(x, y)
if use_transparency_model:
height_data[y, x] = (
0.299 * math.pow(qRed(qrgb) / 255.0, 2.2) +
0.587 * math.pow(qGreen(qrgb) / 255.0, 2.2) +
0.114 * math.pow(qBlue(qrgb) / 255.0, 2.2))
else:
height_data[y, x] = (
0.212655 * qRed(qrgb) + 0.715158 * qGreen(qrgb) +
0.072187 * qBlue(qrgb)
) / 255 # fast computation ignoring gamma and degamma
Job.yieldThread()
if lighter_is_higher == use_transparency_model:
height_data = 1 - height_data
for _ in range(0, blur_iterations):
copy = numpy.pad(height_data, ((1, 1), (1, 1)), mode="edge")
height_data += copy[1:-1, 2:]
height_data += copy[1:-1, :-2]
height_data += copy[2:, 1:-1]
height_data += copy[:-2, 1:-1]
height_data += copy[2:, 2:]
height_data += copy[:-2, 2:]
height_data += copy[2:, :-2]
height_data += copy[:-2, :-2]
height_data /= 9
Job.yieldThread()
if use_transparency_model:
divisor = 1.0 / math.log(
transmittance_1mm / 100.0
) # log-base doesn't matter here. Precompute this value for faster computation of each pixel.
min_luminance = (transmittance_1mm / 100.0)**(peak_height -
base_height)
for (y, x) in numpy.ndindex(height_data.shape):
mapped_luminance = min_luminance + (
1.0 - min_luminance) * height_data[y, x]
height_data[y, x] = base_height + divisor * math.log(
mapped_luminance
) # use same base as a couple lines above this
else:
height_data *= scale_vector.y
height_data += base_height
if img.hasAlphaChannel():
for x in range(0, width):
for y in range(0, height):
height_data[y, x] *= qAlpha(img.pixel(x, y)) / 255.0
heightmap_face_count = 2 * height_minus_one * width_minus_one
total_face_count = heightmap_face_count + (width_minus_one * 2) * (
height_minus_one * 2) + 2
mesh.reserveFaceCount(total_face_count)
# initialize to texel space vertex offsets.
# 6 is for 6 vertices for each texel quad.
heightmap_vertices = numpy.zeros(
(width_minus_one * height_minus_one, 6, 3), dtype=numpy.float32)
heightmap_vertices = heightmap_vertices + numpy.array(
[[[0, base_height, 0], [0, base_height, texel_height],
[texel_width, base_height, texel_height],
[texel_width, base_height, texel_height],
[texel_width, base_height, 0], [0, base_height, 0]]],
dtype=numpy.float32)
offsetsz, offsetsx = numpy.mgrid[0:height_minus_one, 0:width - 1]
offsetsx = numpy.array(offsetsx, numpy.float32).reshape(
-1, 1) * texel_width
offsetsz = numpy.array(offsetsz, numpy.float32).reshape(
-1, 1) * texel_height
# offsets for each texel quad
heightmap_vertex_offsets = numpy.concatenate([
offsetsx,
numpy.zeros((offsetsx.shape[0], offsetsx.shape[1]),
dtype=numpy.float32), offsetsz
], 1)
heightmap_vertices += heightmap_vertex_offsets.repeat(6, 0).reshape(
-1, 6, 3)
# apply height data to y values
heightmap_vertices[:, 0,
1] = heightmap_vertices[:, 5,
1] = height_data[:-1, :
-1].reshape(
-1)
heightmap_vertices[:, 1, 1] = height_data[1:, :-1].reshape(-1)
heightmap_vertices[:, 2,
1] = heightmap_vertices[:, 3, 1] = height_data[
1:, 1:].reshape(-1)
heightmap_vertices[:, 4, 1] = height_data[:-1, 1:].reshape(-1)
heightmap_indices = numpy.array(numpy.mgrid[0:heightmap_face_count *
3],
dtype=numpy.int32).reshape(-1, 3)
mesh._vertices[0:(heightmap_vertices.size //
3), :] = heightmap_vertices.reshape(-1, 3)
mesh._indices[0:(heightmap_indices.size // 3), :] = heightmap_indices
mesh._vertex_count = heightmap_vertices.size // 3
mesh._face_count = heightmap_indices.size // 3
geo_width = width_minus_one * texel_width
geo_height = height_minus_one * texel_height
# bottom
mesh.addFaceByPoints(0, 0, 0, 0, 0, geo_height, geo_width, 0,
geo_height)
mesh.addFaceByPoints(geo_width, 0, geo_height, geo_width, 0, 0, 0, 0,
0)
# north and south walls
for n in range(0, width_minus_one):
x = n * texel_width
nx = (n + 1) * texel_width
hn0 = height_data[0, n]
hn1 = height_data[0, n + 1]
hs0 = height_data[height_minus_one, n]
hs1 = height_data[height_minus_one, n + 1]
mesh.addFaceByPoints(x, 0, 0, nx, 0, 0, nx, hn1, 0)
mesh.addFaceByPoints(nx, hn1, 0, x, hn0, 0, x, 0, 0)
mesh.addFaceByPoints(x, 0, geo_height, nx, 0, geo_height, nx, hs1,
geo_height)
mesh.addFaceByPoints(nx, hs1, geo_height, x, hs0, geo_height, x, 0,
geo_height)
# west and east walls
for n in range(0, height_minus_one):
y = n * texel_height
ny = (n + 1) * texel_height
hw0 = height_data[n, 0]
hw1 = height_data[n + 1, 0]
he0 = height_data[n, width_minus_one]
he1 = height_data[n + 1, width_minus_one]
mesh.addFaceByPoints(0, 0, y, 0, 0, ny, 0, hw1, ny)
mesh.addFaceByPoints(0, hw1, ny, 0, hw0, y, 0, 0, y)
mesh.addFaceByPoints(geo_width, 0, y, geo_width, 0, ny, geo_width,
he1, ny)
mesh.addFaceByPoints(geo_width, he1, ny, geo_width, he0, y,
geo_width, 0, y)
mesh.calculateNormals(fast=True)
scene_node.setMeshData(mesh.build())
return scene_node
