Esempio n. 1
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    def calc_position(self, rect: QRect):
        columns = sum(1 for el in self._item_list
                      if el.widget() and el.widget().isVisible())

        if columns == 0:
            return
        element_width = rect.width() // columns
        x = rect.x()
        for el in self._item_list:
            if el.widget() and el.widget().isHidden():
                continue
            el.setGeometry(QRect(x, rect.y(), element_width, rect.height()))
            x += element_width
Esempio n. 2
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 def paintEvent(self, e):
     cr = self.contentsRect()
     painter = QPainter(self)
     painter.setClipRegion(e.region())
     # if self.__data.isDown:
     #     qDrawWinButton(
     #         painter, 0, 0, self.width(), self.height(), self.palette(), True
     #     )
     painter.save()
     if self.__data.isDown:
         shiftSize = buttonShift(self)
         painter.translate(shiftSize.width(), shiftSize.height())
     painter.setClipRect(cr)
     self.drawContents(painter)
     if not self.__data.icon.isNull():
         iconRect = QRect(cr)
         iconRect.setX(iconRect.x() + self.margin())
         if self.__data.itemMode != QwtLegendData.ReadOnly:
             iconRect.setX(iconRect.x() + BUTTONFRAME)
         iconRect.setSize(self.__data.icon.size())
         iconRect.moveCenter(QPoint(iconRect.center().x(), cr.center().y()))
         painter.drawPixmap(iconRect, self.__data.icon)
     painter.restore()
Esempio n. 3
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 def _paint_inner_grid(self, painter: QPainter, rect: QRect, colors) -> None:
     margin = 10
     inner_grid_w = self._size.width() - (margin * 2)
     inner_grid_h = self._size.height() - (margin * 2)
     inner_grid_x = rect.x() + margin
     inner_grid_y = rect.y() + margin
     job_nr = len(colors)
     grid_dim = math.ceil(math.sqrt(job_nr))
     w = math.ceil(inner_grid_w / grid_dim)
     h = math.ceil(inner_grid_h / grid_dim)
     k = 0
     for y in range(grid_dim):
         for x in range(grid_dim):
             x_pos = inner_grid_x + (x * w)
             y_pos = inner_grid_y + (y * h)
             rect = QRect(x_pos, y_pos, w, h)
             if k >= job_nr:
                 color = QColorConstants.Gray
             else:
                 color = colors[k]
             painter.fillRect(rect, color)
             k += 1
Esempio n. 4
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    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
Esempio n. 5
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    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