def apply(self, text_bboxes: List[BBox], img_bboxes: List[BBox],) -> List[BBox]:
avg_height = sum([it.height for it in img_bboxes]) / len(img_bboxes)
for i in range(0, len(img_bboxes) - 1):
h_spacing_scale = np.random.uniform(*self.h_spacing)
h_spacing = int(avg_height * h_spacing_scale)
img_bboxes[i].right += h_spacing
merged_bbox = BBox.from_bboxes(img_bboxes)
img_bboxes[0].offset_(img_bboxes[0].left_cnt, merged_bbox.left_cnt)
for i in range(1, len(img_bboxes)):
img_bboxes[i].offset_(img_bboxes[i].left_cnt, img_bboxes[i - 1].right_cnt)
return img_bboxes
def gen_multi_corpus(self) -> Tuple[PILImage, str]:
font_texts: List[FontText] = [it.sample() for it in self.corpus]
bg = self.bg_manager.get_bg()
text_color = None
if self.cfg.text_color_cfg is not None:
text_color = self.cfg.text_color_cfg.get_color(bg)
text_masks, text_bboxes = [], []
for i in range(len(font_texts)):
font_text = font_texts[i]
if text_color is None:
_text_color = self.corpus[i].cfg.text_color_cfg.get_color(bg)
else:
_text_color = text_color
text_mask = draw_text_on_bg(
font_text,
_text_color,
char_spacing=self.corpus[i].cfg.char_spacing)
text_bbox = BBox.from_size(text_mask.size)
if self.cfg.corpus_effects is not None:
effects = self.cfg.corpus_effects[i]
if effects is not None:
text_mask, text_bbox = effects.apply_effects(
text_mask, text_bbox)
text_masks.append(text_mask)
text_bboxes.append(text_bbox)
text_mask_bboxes, merged_text = self.layout(
font_texts,
[it.copy() for it in text_bboxes],
[BBox.from_size(it.size) for it in text_masks],
)
if len(text_mask_bboxes) != len(text_bboxes):
raise PanicError(
"points and text_bboxes should have same length after layout output"
)
merged_bbox = BBox.from_bboxes(text_mask_bboxes)
merged_text_mask = transparent_img(merged_bbox.size)
for text_mask, bbox in zip(text_masks, text_mask_bboxes):
merged_text_mask.paste(text_mask, bbox.left_top)
if self.cfg.perspective_transform is not None:
transformer = PerspectiveTransform(self.cfg.perspective_transform)
# TODO: refactor this, now we must call get_transformed_size to call gen_warp_matrix
_ = transformer.get_transformed_size(merged_text_mask.size)
(
transformed_text_mask,
transformed_text_pnts,
) = transformer.do_warp_perspective(merged_text_mask)
else:
transformed_text_mask = merged_text_mask
if self.cfg.layout_effects is not None:
transformed_text_mask, _ = self.cfg.layout_effects.apply_effects(
transformed_text_mask,
BBox.from_size(transformed_text_mask.size))
img = self.paste_text_mask_on_bg(bg, transformed_text_mask)
return img, merged_text