comicocr / utils /textblock.py
fasdfsa's picture
init
f6f8d06
Raw
History Blame Contribute Delete
34.9 kB
from typing import List, Tuple, Callable
import numpy as np
from shapely.geometry import Polygon
import math
import copy
import cv2
import re
from .imgproc_utils import union_area, xywh2xyxypoly, rotate_polygons, color_difference
from .structures import Union, List, Dict, field, nested_dataclass
from .split_text_region import split_textblock as split_text_region
from .fontformat import FontFormat, LineSpacingType, TextAlignment, fix_fontweight_qt
from .textblock_mask import canny_flood
from .textlines_merge import sort_pnts, Quadrilateral, merge_bboxes_text_region
LANG_LIST = ['eng', 'ja', 'unknown']
LANGCLS2IDX = {'eng': 0, 'ja': 1, 'unknown': 2}
# https://ayaka.shn.hk/hanregex/
# https://medium.com/the-artificial-impostor/detecting-chinese-characters-in-unicode-strings-4ac839ba313a
CJKPATTERN = re.compile(r'[\uac00-\ud7a3\u3040-\u30ff\u4e00-\u9FFF]')
@nested_dataclass
class TextBlock:
xyxy: List = field(default_factory = lambda: [0, 0, 0, 0])
lines: List = field(default_factory = lambda: [])
language: str = 'unknown'
# font_size: float = -1.
distance: np.ndarray = None
angle: int = 0
vec: List = None
norm: float = -1
merged: bool = False
text: List = field(default_factory = lambda : [])
translation: str = ""
rich_text: str = ""
_bounding_rect: List = None
src_is_vertical: bool = None
_detected_font_size: float = -1
det_model: str = None
label: str = None # ysg yolo label
region_mask: np.ndarray = None
region_inpaint_dict: Dict = None
fontformat: FontFormat = field(default_factory=lambda: FontFormat())
deprecated_attributes: dict = field(default_factory = lambda: dict())
@property
def vertical(self):
return self.fontformat.vertical
@vertical.setter
def vertical(self, value: bool):
self.fontformat.vertical = value
@property
def font_size(self):
return self.fontformat.font_size
@font_size.setter
def font_size(self, value: float):
self.fontformat.font_size = value
@property
def line_spacing(self):
return self.fontformat.line_spacing
@line_spacing.setter
def line_spacing(self, value: float):
self.fontformat.line_spacing = value
@property
def letter_spacing(self):
return self.fontformat.letter_spacing
@letter_spacing.setter
def letter_spacing(self, value: float):
self.fontformat.letter_spacing = value
@property
def font_family(self):
return self.fontformat.font_family
@font_family.setter
def font_family(self, value: str):
self.fontformat.font_family = value
@property
def font_weight(self):
return self.fontformat.font_weight
@font_weight.setter
def font_weight(self, value: int):
self.fontformat.font_weight = value
@property
def bold(self):
return self.fontformat.bold
@bold.setter
def bold(self, value: bool):
self.fontformat.bold = value
@property
def italic(self):
return self.fontformat.italic
@italic.setter
def italic(self, value: bool):
self.fontformat.italic = value
@property
def underline(self):
return self.fontformat.underline
@underline.setter
def underline(self, value: bool):
self.fontformat.underline = value
@property
def stroke_width(self):
return self.fontformat.stroke_width
@stroke_width.setter
def stroke_width(self, value: float):
self.fontformat.stroke_width = value
@property
def opacity(self):
return self.fontformat.opacity
@opacity.setter
def opacity(self, value: float):
self.fontformat.opacity = value
@property
def shadow_radius(self):
return self.fontformat.shadow_radius
@shadow_radius.setter
def shadow_radius(self, value: float):
self.fontformat.shadow_radius = value
@property
def shadow_strength(self):
return self.fontformat.shadow_strength
@shadow_strength.setter
def shadow_strength(self, value: float):
self.fontformat.shadow_strength = value
@property
def shadow_color(self):
return self.fontformat.shadow_color
@shadow_color.setter
def shadow_color(self, value: float):
self.fontformat.shadow_color = value
@property
def shadow_offset(self):
return self.fontformat.shadow_offset
@shadow_offset.setter
def shadow_offset(self, value: float):
self.fontformat.shadow_offset = value
@property
def fg_colors(self):
return self.fontformat.frgb
@fg_colors.setter
def fg_colors(self, value: Union[np.ndarray, List]):
self.fontformat.frgb = value
@property
def bg_colors(self):
return self.fontformat.srgb
@bg_colors.setter
def bg_colors(self, value: np.ndarray):
self.fontformat.srgb = value
@property
def alignment(self):
return self.fontformat.alignment
@alignment.setter
def alignment(self, value: int):
self.fontformat.alignment = value
def __post_init__(self):
if self.xyxy is not None:
self.xyxy = [int(num) for num in self.xyxy]
if self.distance is not None:
self.distance = np.array(self.distance, np.float32)
if self.vec is not None:
self.vec = np.array(self.vec, np.float32)
if self.src_is_vertical is None:
self.src_is_vertical = self.vertical
if self.rich_text:
self.rich_text = fix_fontweight_qt(self.rich_text)
da = self.deprecated_attributes
if len(da) > 0:
if 'accumulate_color' in da:
self.fg_colors = np.array([da['fg_r'], da['fg_g'], da['fg_b']], dtype=np.float32)
self.bg_colors = np.array([da['bg_r'], da['bg_g'], da['bg_b']], dtype=np.float32)
nlines = len(self)
if da['accumulate_color'] and len(self) > 0:
self.fg_colors /= nlines
self.bg_colors /= nlines
deprecated_blk_fmt_keys = {'vertical': None, 'line_spacing': None, 'letter_spacing': None, 'bold': None, 'underline': None, 'italic': None,
'opacity': None, 'shadow_radius': None, 'shadow_strength': None, 'shadow_color': None, 'shadow_offset': None,
'font_size': 'size', 'font_family': None, '_alignment': 'alignment', 'default_stroke_width': 'stroke_width', 'font_weight': None,
'fg_colors': 'frgb', 'bg_colors': 'srgb'
}
for src_k, v in da.items():
if src_k in deprecated_blk_fmt_keys:
if deprecated_blk_fmt_keys[src_k] is None:
tgt_k = src_k
else:
tgt_k = deprecated_blk_fmt_keys[src_k]
setattr(self.fontformat, tgt_k, v)
self.font_weight = fix_fontweight_qt(self.font_weight)
del self.deprecated_attributes
@property
def detected_font_size(self):
if self._detected_font_size > 0:
return self._detected_font_size
return self.font_size
def adjust_bbox(self, with_bbox=False, x_range=None, y_range=None):
lines = self.lines_array().astype(np.int32)
if with_bbox:
self.xyxy[0] = min(lines[..., 0].min(), self.xyxy[0])
self.xyxy[1] = min(lines[..., 1].min(), self.xyxy[1])
self.xyxy[2] = max(lines[..., 0].max(), self.xyxy[2])
self.xyxy[3] = max(lines[..., 1].max(), self.xyxy[3])
else:
self.xyxy[0] = lines[..., 0].min()
self.xyxy[1] = lines[..., 1].min()
self.xyxy[2] = lines[..., 0].max()
self.xyxy[3] = lines[..., 1].max()
if x_range is not None:
self.xyxy[0] = np.clip(self.xyxy[0], x_range[0], x_range[1])
self.xyxy[2] = np.clip(self.xyxy[2], x_range[0], x_range[1])
if y_range is not None:
self.xyxy[1] = np.clip(self.xyxy[1], y_range[0], y_range[1])
self.xyxy[3] = np.clip(self.xyxy[3], y_range[0], y_range[1])
def sort_lines(self):
if self.distance is not None:
idx = np.argsort(self.distance)
self.distance = self.distance[idx]
lines = np.array(self.lines, dtype=np.int32)
self.lines = lines[idx].tolist()
def lines_array(self, dtype=np.float64):
return np.array(self.lines, dtype=dtype)
def set_lines_by_xywh(self, xywh: np.ndarray, angle=0, x_range=None, y_range=None, adjust_bbox=False):
if isinstance(xywh, List):
xywh = np.array(xywh)
lines = xywh2xyxypoly(np.array([xywh]))
if angle != 0:
cx, cy = xywh[0], xywh[1]
cx += xywh[2] / 2.
cy += xywh[3] / 2.
lines = rotate_polygons([cx, cy], lines, angle)
lines = lines.reshape(-1, 4, 2)
if x_range is not None:
lines[..., 0] = np.clip(lines[..., 0], x_range[0], x_range[1])
if y_range is not None:
lines[..., 1] = np.clip(lines[..., 1], y_range[0], y_range[1])
self.lines = lines.tolist()
if adjust_bbox:
self.adjust_bbox()
def aspect_ratio(self) -> float:
min_rect = self.min_rect()
middle_pnts = (min_rect[:, [1, 2, 3, 0]] + min_rect) / 2
norm_v = np.linalg.norm(middle_pnts[:, 2] - middle_pnts[:, 0])
norm_h = np.linalg.norm(middle_pnts[:, 1] - middle_pnts[:, 3])
return norm_v / norm_h
def center(self) -> np.ndarray:
xyxy = np.array(self.xyxy)
return (xyxy[:2] + xyxy[2:]) / 2
def unrotated_polygons(self, ids=None) -> np.ndarray:
angled = self.angle != 0
center = self.center()
polygons = self.lines_array().reshape(-1, 8)
if ids is not None:
polygons = polygons[ids]
if angled:
polygons = rotate_polygons(center, polygons, self.angle)
return angled, center, polygons
def min_rect(self, rotate_back=True, ids=None) -> List[int]:
angled, center, polygons = self.unrotated_polygons(ids=ids)
min_x = polygons[:, ::2].min()
min_y = polygons[:, 1::2].min()
max_x = polygons[:, ::2].max()
max_y = polygons[:, 1::2].max()
min_bbox = np.array([[min_x, min_y, max_x, min_y, max_x, max_y, min_x, max_y]])
if angled and rotate_back:
min_bbox = rotate_polygons(center, min_bbox, -self.angle)
return min_bbox.reshape(-1, 4, 2).astype(np.int64)
def normalizd_width_list(self, normalize=True):
angled, center, polygons = self.unrotated_polygons()
width_list = []
for polygon in polygons:
width_list.append((polygon[[2, 4]] - polygon[[0, 6]]).mean())
sum_width = sum(width_list)
if normalize:
width_list = np.array(width_list)
width_list = width_list / sum_width
width_list = width_list.tolist()
return width_list, sum_width
# equivalent to qt's boundingRect, ignore angle
def bounding_rect(self) -> List[int]:
if self._bounding_rect is None:
# if True:
min_bbox = self.min_rect(rotate_back=False)[0]
x, y = min_bbox[0]
w, h = min_bbox[2] - min_bbox[0]
return [int(x), int(y), int(w), int(h)]
return self._bounding_rect
def __getattribute__(self, name: str):
if name == 'pts':
return self.lines_array()
# else:
return object.__getattribute__(self, name)
def __len__(self):
return len(self.lines)
def __getitem__(self, idx):
return self.lines[idx]
def to_dict(self, deep_copy=False):
blk_dict = vars(self)
if deep_copy:
blk_dict = copy.deepcopy(blk_dict)
return blk_dict
def get_transformed_region(self, img: np.ndarray, idx: int, textheight: int, maxwidth: int = None) -> np.ndarray :
im_h, im_w = img.shape[:2]
line = np.round(np.array(self.lines[idx])).astype(np.int64)
if not self.src_is_vertical and self.det_model == 'ctd':
# ctd detected horizontal bbox is smaller than GT
expand_size = max(int(self._detected_font_size * 0.1), 3)
rad = np.deg2rad(self.angle)
shifted_vec = np.array([[[-1, -1],[1, -1],[1, 1],[-1, 1]]])
shifted_vec = shifted_vec * np.array([[[np.sin(rad), np.cos(rad)]]]) * expand_size
line = line + shifted_vec
line[..., 0] = np.clip(line[..., 0], 0, im_w)
line[..., 1] = np.clip(line[..., 1], 0, im_h)
line = np.round(line[0]).astype(np.int64)
x1, y1, x2, y2 = line[:, 0].min(), line[:, 1].min(), line[:, 0].max(), line[:, 1].max()
x1 = np.clip(x1, 0, im_w)
y1 = np.clip(y1, 0, im_h)
x2 = np.clip(x2, 0, im_w)
y2 = np.clip(y2, 0, im_h)
img_croped = img[y1: y2, x1: x2]
direction = 'v' if self.src_is_vertical else 'h'
src_pts = line.copy()
src_pts[:, 0] -= x1
src_pts[:, 1] -= y1
middle_pnt = (src_pts[[1, 2, 3, 0]] + src_pts) / 2
vec_v = middle_pnt[2] - middle_pnt[0] # vertical vectors of textlines
vec_h = middle_pnt[1] - middle_pnt[3] # horizontal vectors of textlines
norm_v = np.linalg.norm(vec_v)
norm_h = np.linalg.norm(vec_h)
if textheight is None:
if direction == 'h' :
textheight = int(norm_v)
else:
textheight = int(norm_h)
if norm_v <= 0 or norm_h <= 0:
print('invalid textpolygon to target img')
return np.zeros((textheight, textheight, 3), dtype=np.uint8)
ratio = norm_v / norm_h
if direction == 'h' :
h = int(textheight)
w = int(round(textheight / ratio))
dst_pts = np.array([[0, 0], [w - 1, 0], [w - 1, h - 1], [0, h - 1]]).astype(np.float32)
M, _ = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC, 5.0)
if M is None:
print('invalid textpolygon to target img')
return np.zeros((textheight, textheight, 3), dtype=np.uint8)
region = cv2.warpPerspective(img_croped, M, (w, h))
elif direction == 'v' :
w = int(textheight)
h = int(round(textheight * ratio))
dst_pts = np.array([[0, 0], [w - 1, 0], [w - 1, h - 1], [0, h - 1]]).astype(np.float32)
M, _ = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC, 5.0)
if M is None:
print('invalid textpolygon to target img')
return np.zeros((textheight, textheight, 3), dtype=np.uint8)
region = cv2.warpPerspective(img_croped, M, (w, h))
region = cv2.rotate(region, cv2.ROTATE_90_COUNTERCLOCKWISE)
if maxwidth is not None:
h, w = region.shape[: 2]
if w > maxwidth:
region = cv2.resize(region, (maxwidth, h))
return region
def get_text(self) -> str:
if isinstance(self.text, str):
return self.text
text = ''
for t in self.text:
if text and t:
if text[-1].isalpha() and t[0].isalpha() \
and CJKPATTERN.search(text[-1]) is None \
and CJKPATTERN.search(t[0]) is None:
text += ' '
text += t
return text.strip()
def set_font_colors(self, fg_colors = None, bg_colors = None):
if fg_colors is not None:
self.fg_colors = fg_colors
if bg_colors is not None:
self.bg_colors = bg_colors
def update_font_colors(self, fg_colors: np.ndarray, bg_colors: np.ndarray):
nlines = len(self)
if nlines > 0:
if not isinstance(fg_colors, np.ndarray):
fg_colors = np.array(fg_colors, dtype=np.float32)
if not isinstance(bg_colors, np.ndarray):
bg_colors = np.array(bg_colors, dtype=np.float32)
if not isinstance(self.fg_colors, np.ndarray):
self.fg_colors = np.array(self.fg_colors, dtype=np.float32)
if not isinstance(self.bg_colors, np.ndarray):
self.bg_colors = np.array(self.bg_colors, dtype=np.float32)
self.fg_colors += fg_colors / nlines
self.bg_colors += bg_colors / nlines
def get_font_colors(self, bgr=False):
frgb = np.array(self.fg_colors).astype(np.int32)
brgb = np.array(self.bg_colors).astype(np.int32)
if bgr:
frgb = frgb[::-1]
brgb = brgb[::-1]
return frgb, brgb
def xywh(self):
x, y, w, h = self.xyxy
return [x, y, w-x, h-y]
def recalulate_alignment(self):
angled, center, polygons = self.unrotated_polygons()
polygons = polygons.reshape(-1, 4, 2)
left_std = np.std(polygons[:, 0, 0])
right_std = np.std(polygons[:, 1, 0])
center_std = np.std((polygons[:, 0, 0] + polygons[:, 1, 0]) / 2) * 0.7
if left_std < right_std and left_std < center_std:
self.alignment = TextAlignment.Left
elif right_std < left_std and right_std < center_std:
self.alignment = TextAlignment.Right
else:
self.alignment = TextAlignment.Center
def recalulate_stroke_width(self, color_diff_tol = 15, stroke_width: float = 0.2):
if color_difference(*self.get_font_colors()) < color_diff_tol:
self.stroke_width = 0.
else:
self.stroke_width = stroke_width
def adjust_pos(self, dx: int, dy: int):
self.xyxy[0] += dx
self.xyxy[1] += dy
self.xyxy[2] += dx
self.xyxy[3] += dy
if self._bounding_rect is not None:
self._bounding_rect[0] += dx
self._bounding_rect[1] += dy
def line_coord_valid(self, rect):
if self.det_model is None:
return False
if rect is None:
rect = self.bounding_rect()
min_bbox = self.min_rect(rotate_back=True)[0]
x1, y1 = min_bbox[0]
x2, y2 = min_bbox[2]
w = x2 - x1
h = y2 - y1
if w < 1 or h < 1:
return False
rx1, ry1, rx2, ry2 = rect
rx2 += rx1
ry2 += ry1
intersect = max(min(x2, rx2) - max(x1, rx1), 0) * max(min(y2, ry2) - max(y1, ry1), 0)
if intersect == 0:
return False
if intersect / (w * h) < 0.6:
return False
return True
def sort_regions(regions: List[TextBlock], right_to_left=None) -> List[TextBlock]:
# from manga image translator
# Sort regions from right to left, top to bottom
nr = len(regions)
if right_to_left is None and nr > 0:
nv = 0
for r in regions:
if r.vertical:
nv += 1
right_to_left = nv / nr > 0
sorted_regions = []
for region in sorted(regions, key=lambda region: region.center()[1]):
for i, sorted_region in enumerate(sorted_regions):
if region.center()[1] > sorted_region.xyxy[3]:
continue
if region.center()[1] < sorted_region.xyxy[1]:
sorted_regions.insert(i + 1, region)
break
# y center of region inside sorted_region so sort by x instead
if right_to_left and region.center()[0] > sorted_region.center()[0]:
sorted_regions.insert(i, region)
break
if not right_to_left and region.center()[0] < sorted_region.center()[0]:
sorted_regions.insert(i, region)
break
else:
sorted_regions.append(region)
return sorted_regions
def examine_textblk(blk: TextBlock, im_w: int, im_h: int, sort: bool = False) -> None:
lines = blk.lines_array()
middle_pnts = (lines[:, [1, 2, 3, 0]] + lines) / 2
vec_v = middle_pnts[:, 2] - middle_pnts[:, 0] # vertical vectors of textlines
vec_h = middle_pnts[:, 1] - middle_pnts[:, 3] # horizontal vectors of textlines
# if sum of vertical vectors is longer, then text orientation is vertical, and vice versa.
center_pnts = (lines[:, 0] + lines[:, 2]) / 2
v = np.sum(vec_v, axis=0)
h = np.sum(vec_h, axis=0)
norm_v, norm_h = np.linalg.norm(v), np.linalg.norm(h)
vertical = blk.src_is_vertical
# calcuate distance between textlines and origin
if vertical:
primary_vec, primary_norm = v, norm_v
distance_vectors = center_pnts - np.array([[im_w, 0]], dtype=np.float64) # vertical manga text is read from right to left, so origin is (imw, 0)
font_size = int(round(norm_h / len(lines)))
else:
primary_vec, primary_norm = h, norm_h
distance_vectors = center_pnts - np.array([[0, 0]], dtype=np.float64)
font_size = int(round(norm_v / len(lines)))
rotation_angle = int(math.atan2(primary_vec[1], primary_vec[0]) / math.pi * 180) # rotation angle of textlines
distance = np.linalg.norm(distance_vectors, axis=1) # distance between textlinecenters and origin
rad_matrix = np.arccos(np.einsum('ij, j->i', distance_vectors, primary_vec) / (distance * primary_norm))
distance = np.abs(np.sin(rad_matrix) * distance)
blk.lines = lines.astype(np.int32).tolist()
blk.distance = distance
blk.angle = rotation_angle
if vertical:
blk.angle -= 90
if abs(blk.angle) < 3:
blk.angle = 0
blk.font_size = font_size
blk.vec = primary_vec
blk.norm = primary_norm
if sort:
blk.sort_lines()
def try_merge_textline(blk: TextBlock, blk2: TextBlock, fntsize_tol=1.7, distance_tol=2, canvas=None) -> bool:
if blk2.merged:
return False
fntsize_div = blk.font_size / blk2.font_size
num_l1, num_l2 = len(blk), len(blk2)
fntsz_avg = (blk.font_size * num_l1 + blk2.font_size * num_l2) / (num_l1 + num_l2)
vec_prod = blk.vec @ blk2.vec
vec_sum = blk.vec + blk2.vec
cos_vec = vec_prod / blk.norm / blk2.norm
# distance = blk2.distance[-1] - blk.distance[-1]
# distance_p1 = np.linalg.norm(np.array(blk2.lines[-1][0]) - np.array(blk.lines[-1][0]))
minrect1 = blk.min_rect(ids=[-1])[0]
xyxy1 = [*minrect1[0], *minrect1[2]]
minrect2 = blk2.min_rect(ids=[0])[0]
xyxy2 = [*minrect2[0], *minrect2[2]]
distance_x = max(xyxy1[0], xyxy2[0]) - min(xyxy1[2], xyxy2[2])
distance_y = max(xyxy1[1], xyxy2[1]) - min(xyxy1[3], xyxy2[3])
w1 = xyxy1[2] - xyxy1[0]
w2 = xyxy2[2] - xyxy2[0]
h1 = xyxy1[3] - xyxy1[1]
h2 = xyxy2[3] - xyxy2[1]
l1, l2 = Polygon(blk.lines[-1]), Polygon(blk2.lines[0])
if not l1.intersects(l2):
if blk.vertical:
if distance_y > 0:
return False
if distance_x > fntsz_avg * 0.8:
return False
if abs(distance_y) / min(h1, h2) < 0.4:
return False
else:
if distance_x > 0:
return False
fntsz_thr = 0.5
if fntsz_avg < 24:
fntsz_thr = 0.6
if distance_y > fntsz_avg * fntsz_thr:
return False
if abs(distance_x) / min(w1, w2) < 0.3:
return False
if fntsize_div > fntsize_tol or 1 / fntsize_div > fntsize_tol:
return False
if abs(cos_vec) < 0.866: # cos30
return False
# if distance > distance_tol * fntsz_avg:
# return False
# merge
for line in blk2.lines:
blk.lines.append(line)
blk.vec = vec_sum
blk.angle = int(round(np.rad2deg(math.atan2(vec_sum[1], vec_sum[0]))))
if blk.vertical:
blk.angle -= 90
blk.norm = np.linalg.norm(vec_sum)
blk.distance = np.append(blk.distance, blk2.distance[-1])
blk.font_size = fntsz_avg
blk2.merged = True
return True
def merge_textlines(blk_list: List[TextBlock], canvas=None, fntsize_tol=1.7) -> List[TextBlock]:
if len(blk_list) < 2:
return blk_list
merged_list = []
for ii, current_blk in enumerate(blk_list):
if current_blk.merged:
continue
for jj, blk in enumerate(blk_list[ii+1:]):
try_merge_textline(current_blk, blk, canvas=canvas, fntsize_tol=fntsize_tol)
merged_list.append(current_blk)
for blk in merged_list:
blk.adjust_bbox(with_bbox=False)
return merged_list
def split_textblk(blk: TextBlock):
font_size, distance, lines = blk.font_size, blk.distance, blk.lines
l0 = np.array(blk.lines[0])
lines.sort(key=lambda line: np.linalg.norm(np.array(line[0]) - l0[0]))
distance_tol = font_size * 2
current_blk = copy.deepcopy(blk)
current_blk.lines = [l0]
sub_blk_list = [current_blk]
textblock_splitted = False
for jj, line in enumerate(lines[1:]):
l1, l2 = Polygon(lines[jj]), Polygon(line)
split = False
if not l1.intersects(l2):
line_disance = abs(distance[jj+1] - distance[jj])
if line_disance > distance_tol:
split = True
elif blk.vertical and abs(blk.angle) < 15:
if len(current_blk.lines) > 1 or line_disance > font_size:
split = abs(lines[jj][0][1] - line[0][1]) > font_size
if split:
current_blk = copy.deepcopy(current_blk)
current_blk.lines = [line]
sub_blk_list.append(current_blk)
else:
current_blk.lines.append(line)
if len(sub_blk_list) > 1:
textblock_splitted = True
for current_blk in sub_blk_list:
current_blk.adjust_bbox(with_bbox=False)
return textblock_splitted, sub_blk_list
def group_output(blks, lines, im_w, im_h, mask=None, sort_blklist=True, canvas=None) -> List[TextBlock]:
blk_list: List[TextBlock] = []
scattered_lines = {'ver': [], 'hor': []}
for bbox, cls, conf in zip(*blks):
# cls could give wrong result
blk_list.append(TextBlock(bbox, language=LANG_LIST[cls]))
# step1: filter & assign lines to textblocks
bbox_score_thresh = 0.4
mask_score_thresh = 0.1
for ii, line in enumerate(lines):
line, is_vertical = sort_pnts(line)
bx1, bx2 = line[:, 0].min(), line[:, 0].max()
by1, by2 = line[:, 1].min(), line[:, 1].max()
bbox_score, bbox_idx = -1, -1
line_area = (by2-by1) * (bx2-bx1)
for jj, blk in enumerate(blk_list):
score = union_area(blk.xyxy, [bx1, by1, bx2, by2]) / line_area
if bbox_score < score:
bbox_score = score
bbox_idx = jj
if bbox_score > bbox_score_thresh:
blk_list[bbox_idx].lines.append(line)
blk_list[bbox_idx].adjust_bbox(with_bbox=True)
else: # if no textblock was assigned, check whether there is "enough" textmask
if mask is not None:
mask_score = mask[by1: by2, bx1: bx2].mean() / 255
if mask_score < mask_score_thresh:
continue
blk = TextBlock([bx1, by1, bx2, by2], [line])
blk.vertical = blk.src_is_vertical = is_vertical
examine_textblk(blk, im_w, im_h, sort=False)
if blk.vertical:
scattered_lines['ver'].append(blk)
else:
scattered_lines['hor'].append(blk)
# step2: filter textblocks, sort & split textlines
final_blk_list = []
for blk in blk_list:
# filter textblocks
if len(blk.lines) == 0:
bx1, by1, bx2, by2 = blk.xyxy
if mask is not None:
mask_score = mask[by1: by2, bx1: bx2].mean() / 255
if mask_score < mask_score_thresh:
continue
xywh = np.array([[bx1, by1, bx2-bx1, by2-by1]])
blk.lines = xywh2xyxypoly(xywh).reshape(-1, 4, 2).tolist()
else:
blk.adjust_bbox(with_bbox=False)
examine_textblk(blk, im_w, im_h, sort=True)
# split manga text if there is a distance gap
textblock_splitted = False
if len(blk.lines) > 1:
if blk.language == 'ja':
textblock_splitted = True
elif blk.vertical:
textblock_splitted = True
# if textblock_splitted:
# textblock_splitted, sub_blk_list = split_textblk(blk)
# else:
sub_blk_list = [blk]
# modify textblock to fit its textlines
if not textblock_splitted:
for blk in sub_blk_list:
blk.adjust_bbox(with_bbox=True)
final_blk_list += sub_blk_list
_final_blk_list = []
for blk in final_blk_list:
if blk.vertical:
scattered_lines['ver'].append(blk)
else:
_final_blk_list.append(blk)
final_blk_list = _final_blk_list
# step3: merge scattered lines, sort textblocks by "grid"
scattered_lines['ver'].sort(key=lambda blk: blk.center()[0], reverse=True)
scattered_lines['hor'].sort(key=lambda blk: blk.center()[1])
# c = visualize_textblocks(canvas, scattered_lines['hor'])
# cv2.imwrite('local_tst.jpg', c)
final_blk_list += merge_textlines(scattered_lines['hor'], canvas=canvas, fntsize_tol=2.0)
final_blk_list += merge_textlines(scattered_lines['ver'])
if sort_blklist:
final_blk_list = sort_regions(final_blk_list, )
for blk in final_blk_list:
blk.distance = None
if len(final_blk_list) > 1:
_final_blks = [final_blk_list[0]]
for blk in final_blk_list[1:]:
ax1, ay1, ax2, ay2 = blk.xyxy
keep_blk = True
aarea = (ax2 - ax1) * (ay2 - ay1) + 1e-6
for eb in _final_blks:
bx1, by1, bx2, by2 = eb.xyxy
x1 = max(ax1, bx1)
y1 = max(ay1, by1)
x2 = min(ax2, bx2)
y2 = min(ay2, by2)
if y2 < y1 or x2 < x1:
continue
inter_area = (y2 - y1) * (x2 - x1)
if inter_area / aarea > 0.9:
keep_blk = False
break
if keep_blk:
_final_blks.append(blk)
final_blk_list = _final_blks
for blk in final_blk_list:
if blk.language != 'ja' and not blk.vertical:
num_lines = len(blk.lines)
if num_lines == 0:
continue
blk._detected_font_size = blk.font_size
return final_blk_list
def visualize_textblocks(canvas, blk_list: List[TextBlock]):
lw = max(round(sum(canvas.shape) / 2 * 0.003), 2) # line width
for ii, blk in enumerate(blk_list):
bx1, by1, bx2, by2 = blk.xyxy
cv2.rectangle(canvas, (bx1, by1), (bx2, by2), (127, 255, 127), lw)
lines = blk.lines_array(dtype=np.int32)
for jj, line in enumerate(lines):
cv2.putText(canvas, str(jj), line[0], cv2.FONT_HERSHEY_SIMPLEX, 0.7, (255,127,0), 1)
cv2.polylines(canvas, [line], True, (0,127,255), 2)
cv2.polylines(canvas, [blk.min_rect()], True, (127,127,0), 2)
center = [int((bx1 + bx2)/2), int((by1 + by2)/2)]
cv2.putText(canvas, str(blk.angle), center, cv2.FONT_HERSHEY_SIMPLEX, 1, (127,127,255), 2)
cv2.putText(canvas, str(ii), (bx1, by1 + lw + 2), 0, lw / 6, (255,127,127), max(lw-7, 1), cv2.LINE_AA)
return canvas
def collect_textblock_regions(img: np.ndarray, textblk_lst: List[TextBlock], text_height=48, maxwidth=8100, split_textblk = False, seg_func: Callable = None):
regions = []
textblk_lst_indices = []
for blk_idx, textblk in enumerate(textblk_lst):
for ii in range(len(textblk)):
if split_textblk and len(textblk) == 1:
seg_func = canny_flood
region = textblk.get_transformed_region(img, ii, None, maxwidth=None)
mask = seg_func(region)[0]
split_lines = split_text_region(mask)[0]
for jj, line in enumerate(split_lines):
bottom = line[3]
if len(split_lines) == 1:
bottom = region.shape[0]
r = region[line[1]: bottom]
h, w = r.shape[:2]
tgt_h, tgt_w = text_height, min(maxwidth, int(text_height / h * w))
if tgt_h != h or tgt_w != w:
r = cv2.resize(r, (tgt_w, tgt_h), interpolation=cv2.INTER_LINEAR)
regions.append(r)
textblk_lst_indices.append(blk_idx)
# cv2.imwrite(f'local_region{jj}.jpg', r)
# cv2.imwrite('local_mask.jpg', mask)
# cv2.imwrite('local_region.jpg',region)
else:
textblk_lst_indices.append(blk_idx)
region = textblk.get_transformed_region(img, ii, text_height, maxwidth=maxwidth)
regions.append(region)
return regions, textblk_lst_indices
def mit_merge_textlines(textlines: List[Quadrilateral], width: int, height: int, verbose: bool = False) -> List[TextBlock]:
# from https://github.com/zyddnys/manga-image-translator
quadrilateral_lst = []
for line in textlines:
if not isinstance(line, Quadrilateral):
line = Quadrilateral(np.array(line), '', 1.)
quadrilateral_lst.append(line)
textlines = quadrilateral_lst
text_regions: List[TextBlock] = []
textlines_total_area = sum([txtln.area for txtln in textlines])
for (txtlns, fg_color, bg_color) in merge_bboxes_text_region(textlines, width, height):
total_logprobs = 0
for txtln in txtlns:
total_logprobs += np.log(txtln.prob) * txtln.area
total_logprobs /= textlines_total_area
font_size = int(min([txtln.font_size for txtln in txtlns]))
angle = np.rad2deg(np.mean([txtln.angle for txtln in txtlns])) - 90
if abs(angle) < 3:
angle = 0
lines = [txtln.pts for txtln in txtlns]
texts = [txtln.text for txtln in txtlns]
ffmt = FontFormat(font_size=font_size, frgb=fg_color, srgb=bg_color)
nv = 0
for txtln in txtlns:
if txtln.direction == 'v':
nv += 1
is_vertical = nv >= len(txtlns) // 2
region = TextBlock(
lines=lines, text=texts, angle=angle, fontformat=ffmt,
_detected_font_size=font_size, src_is_vertical=is_vertical, vertical=is_vertical)
region.adjust_bbox()
if region.src_is_vertical:
region.alignment = 1
else:
region.recalulate_alignment()
text_regions.append(region)
return text_regions