| 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} |
|
|
| |
| |
| 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' |
| |
| 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 |
|
|
| 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 |
|
|
| |
| def bounding_rect(self) -> List[int]: |
| if self._bounding_rect is None: |
| |
| 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() |
| |
| 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': |
| |
| 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] |
| vec_h = middle_pnt[1] - middle_pnt[3] |
| 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]: |
| |
| |
| |
| 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 |
|
|
| |
| 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] |
| vec_h = middle_pnts[:, 1] - middle_pnts[:, 3] |
| |
| 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 |
| |
| if vertical: |
| primary_vec, primary_norm = v, norm_v |
| distance_vectors = center_pnts - np.array([[im_w, 0]], dtype=np.float64) |
| 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) |
| distance = np.linalg.norm(distance_vectors, axis=1) |
| 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 |
| |
| |
| 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: |
| return False |
| |
| |
|
|
| |
| 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): |
| |
| blk_list.append(TextBlock(bbox, language=LANG_LIST[cls])) |
|
|
| |
| 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 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) |
|
|
| |
| final_blk_list = [] |
| for blk in blk_list: |
| |
| 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) |
| |
| |
| textblock_splitted = False |
| if len(blk.lines) > 1: |
| if blk.language == 'ja': |
| textblock_splitted = True |
| elif blk.vertical: |
| textblock_splitted = True |
| |
| |
| |
| sub_blk_list = [blk] |
| |
| 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 |
|
|
| |
| scattered_lines['ver'].sort(key=lambda blk: blk.center()[0], reverse=True) |
| scattered_lines['hor'].sort(key=lambda blk: blk.center()[1]) |
| |
| |
| 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) |
| 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) |
| |
| |
| |
| 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]: |
| |
| 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 |
|
|