OpenOCR-Demo / openrec /preprocess /cam_label_encode.py
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import numpy as np
import cv2
from .ar_label_encode import ARLabelEncode
def crop_safe(arr, rect, bbs=[], pad=0):
rect = np.array(rect)
rect[:2] -= pad
rect[2:] += 2 * pad
v0 = [max(0, rect[0]), max(0, rect[1])]
v1 = [
min(arr.shape[0], rect[0] + rect[2]),
min(arr.shape[1], rect[1] + rect[3])
]
arr = arr[v0[0]:v1[0], v0[1]:v1[1], ...]
if len(bbs) > 0:
for i in range(len(bbs)):
bbs[i, 0] -= v0[0]
bbs[i, 1] -= v0[1]
return arr, bbs
else:
return arr
try:
# pygame==2.5.2
import pygame
from pygame import freetype
except:
pass
class CAMLabelEncode(ARLabelEncode):
"""Convert between text-label and text-index."""
def __init__(self,
max_text_length,
character_dict_path=None,
use_space_char=False,
font_path=None,
font_size=30,
font_strength=0.1,
image_shape=[32, 128],
**kwargs):
super(CAMLabelEncode,
self).__init__(max_text_length, character_dict_path,
use_space_char)
self.image_shape = image_shape
if font_path is not None:
freetype.init()
# init font
self.font = freetype.Font(font_path)
self.font.antialiased = True
self.font.origin = True
# choose font style
self.font.size = font_size
self.font.underline = False
self.font.strong = True
self.font.strength = font_strength
self.font.oblique = False
def render_normal(self, font, text):
# get the number of lines
lines = text.split('\n')
lengths = [len(l) for l in lines]
# font parameters:
line_spacing = font.get_sized_height() + 1
# initialize the surface to proper size:
line_bounds = font.get_rect(lines[np.argmax(lengths)])
fsize = (round(2.0 * line_bounds.width),
round(1.25 * line_spacing * len(lines)))
surf = pygame.Surface(fsize, pygame.locals.SRCALPHA, 32)
bbs = []
space = font.get_rect('O')
# space = font.get_rect(' ')
x, y = 0, 0
for l in lines:
x = 2 # carriage-return
y += line_spacing # line-feed
for ch in l: # render each character
if ch.isspace(): # just shift
x += space.width
else:
# render the character
ch_bounds = font.render_to(surf, (x, y), ch)
# ch_bounds.x = x + ch_bounds.x
# ch_bounds.y = y - ch_bounds.y
x += ch_bounds.width + 5
bbs.append(np.array(ch_bounds))
# get the union of characters for cropping:
r0 = pygame.Rect(bbs[0])
rect_union = r0.unionall(bbs)
# get the words:
# words = ' '.join(text.split())
# crop the surface to fit the text:
bbs = np.array(bbs)
surf_arr, bbs = crop_safe(pygame.surfarray.pixels_alpha(surf),
rect_union,
bbs,
pad=5)
surf_arr = surf_arr.swapaxes(0, 1)
# self.visualize_bb(surf_arr,bbs)
return surf_arr, bbs
def __call__(self, data):
data = super().__call__(data=data)
if data is None:
return None
word = []
for c in data['label'][1:data['length'] + 1]:
word.append(self.character[c])
word = ''.join(word)
# binary mask
binary_mask, bbs = self.render_normal(self.font, word)
cate_aware_surf = np.zeros((binary_mask.shape[0], binary_mask.shape[1],
len(self.character) - 3)).astype(np.uint8)
for id, bb in zip(data['label'][1:data['length'] + 1], bbs):
char_id = id - 1
cate_aware_surf[:, :,
char_id][bb[1]:bb[1] + bb[3], bb[0]:bb[0] +
bb[2]] = binary_mask[bb[1]:bb[1] + bb[3],
bb[0]:bb[0] + bb[2]]
binary_mask = cate_aware_surf
binary_mask = cv2.resize(
binary_mask, (self.image_shape[0] // 2, self.image_shape[1] // 2))
if np.max(binary_mask) > 0:
binary_mask = binary_mask / np.max(binary_mask) # [0 ~ 1]
binary_mask = binary_mask.astype(np.float32)
data['binary_mask'] = binary_mask
return data