File size: 34,926 Bytes
f6f8d06
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
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