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import os
import cv2
import numpy as np
def char2num(char):
if char in "0123456789":
num = ord(char) - ord("0") + 1
elif char in "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ":
num = ord(char.lower()) - ord("a") + 11
else:
num = 0
return num
def num2char(num):
chars = "_0123456789abcdefghijklmnopqrstuvwxyz"
char = chars[num]
# if num >=1 and num <=10:
# char = chr(ord('0') + num - 1)
# elif num > 10 and num <= 36:
# char = chr(ord('a') + num - 11)
# else:
# print('error number:%d'%(num))
# exit()
return char
def getstr_grid(seg, box, threshold=192):
pos = 255 - (seg[0] * 255).astype(np.uint8)
mask_index = np.argmax(seg, axis=0)
mask_index = mask_index.astype(np.uint8)
pos = pos.astype(np.uint8)
string, score, rec_scores, char_polygons = seg2text(
pos, mask_index, seg, box, threshold=threshold
)
return string, score, rec_scores, char_polygons
def seg2text(gray, mask, seg, box, threshold=192):
## input numpy
img_h, img_w = gray.shape
box_w = box[2] - box[0]
box_h = box[3] - box[1]
ratio_h = float(box_h) / img_h
ratio_w = float(box_w) / img_w
# SE1=cv2.getStructuringElement(cv2.MORPH_RECT,(3,3))
# gray = cv2.erode(gray,SE1)
# gray = cv2.dilate(gray,SE1)
# gray = cv2.morphologyEx(gray,cv2.MORPH_CLOSE,SE1)
ret, thresh = cv2.threshold(gray, threshold, 255, cv2.THRESH_BINARY)
try:
_, contours, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
except:
contours, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
chars = []
scores = []
char_polygons = []
for i in range(len(contours)):
char = {}
temp = np.zeros((img_h, img_w)).astype(np.uint8)
cv2.drawContours(temp, [contours[i]], 0, (255), -1)
x, y, w, h = cv2.boundingRect(contours[i])
c_x, c_y = x + w / 2, y + h / 2
perimeter = cv2.arcLength(contours[i], True)
epsilon = 0.01 * cv2.arcLength(contours[i], True)
approx = cv2.approxPolyDP(contours[i], epsilon, True)
pts = approx.reshape((-1, 2))
pts[:, 0] = pts[:, 0] * ratio_w + box[0]
pts[:, 1] = pts[:, 1] * ratio_h + box[1]
polygon = list(pts.reshape((-1,)))
polygon = list(map(int, polygon))
if len(polygon) >= 6:
char_polygons.append(polygon)
# x1 = x * ratio_w + box[0]
# y1 = y * ratio_h + box[1]
# x3 = (x + w) * ratio_w + box[0]
# y3 = (y + h) * ratio_h + box[1]
# polygon = [x1, y1, x3, y1, x3, y3, x1, y3]
regions = seg[1:, temp == 255].reshape((36, -1))
cs = np.mean(regions, axis=1)
sym = num2char(np.argmax(cs.reshape((-1))) + 1)
char["x"] = c_x
char["y"] = c_y
char["s"] = sym
char["cs"] = cs.reshape((-1, 1))
scores.append(np.max(char["cs"], axis=0)[0])
chars.append(char)
chars = sorted(chars, key=lambda x: x["x"])
string = ""
css = []
for char in chars:
string = string + char["s"]
css.append(char["cs"])
if len(scores) > 0:
score = sum(scores) / len(scores)
else:
score = 0.00
if not css:
css = [0.0]
return string, score, np.hstack(css), char_polygons
# def get_tight_rect(points, start_x, start_y, image_height, image_width, scale):
# points = list(points)
# ps = sorted(points, key=lambda x: x[0])
#
# if ps[1][1] > ps[0][1]:
# px1 = ps[0][0] * scale + start_x
# py1 = ps[0][1] * scale + start_y
# px4 = ps[1][0] * scale + start_x
# py4 = ps[1][1] * scale + start_y
# else:
# px1 = ps[1][0] * scale + start_x
# py1 = ps[1][1] * scale + start_y
# px4 = ps[0][0] * scale + start_x
# py4 = ps[0][1] * scale + start_y
# if ps[3][1] > ps[2][1]:
# px2 = ps[2][0] * scale + start_x
# py2 = ps[2][1] * scale + start_y
# px3 = ps[3][0] * scale + start_x
# py3 = ps[3][1] * scale + start_y
# else:
# px2 = ps[3][0] * scale + start_x
# py2 = ps[3][1] * scale + start_y
# px3 = ps[2][0] * scale + start_x
# py3 = ps[2][1] * scale + start_y
#
# if px1 < 0:
# px1 = 1
# if px1 > image_width:
# px1 = image_width - 1
# if px2 < 0:
# px2 = 1
# if px2 > image_width:
# px2 = image_width - 1
# if px3 < 0:
# px3 = 1
# if px3 > image_width:
# px3 = image_width - 1
# if px4 < 0:
# px4 = 1
# if px4 > image_width:
# px4 = image_width - 1
#
# if py1 < 0:
# py1 = 1
# if py1 > image_height:
# py1 = image_height - 1
# if py2 < 0:
# py2 = 1
# if py2 > image_height:
# py2 = image_height - 1
# if py3 < 0:
# py3 = 1
# if py3 > image_height:
# py3 = image_height - 1
# if py4 < 0:
# py4 = 1
# if py4 > image_height:
# py4 = image_height - 1
# return [px1, py1, px2, py2, px3, py3, px4, py4]
def get_tight_rect(points, start_x, start_y, image_height, image_width, scale):
points = list(points)
ps = sorted(points, key=lambda x: x[0])
if ps[1][1] > ps[0][1]:
px1 = ps[0][0] * scale + start_x
py1 = ps[0][1] * scale + start_y
px4 = ps[1][0] * scale + start_x
py4 = ps[1][1] * scale + start_y
else:
px1 = ps[1][0] * scale + start_x
py1 = ps[1][1] * scale + start_y
px4 = ps[0][0] * scale + start_x
py4 = ps[0][1] * scale + start_y
if ps[3][1] > ps[2][1]:
px2 = ps[2][0] * scale + start_x
py2 = ps[2][1] * scale + start_y
px3 = ps[3][0] * scale + start_x
py3 = ps[3][1] * scale + start_y
else:
px2 = ps[3][0] * scale + start_x
py2 = ps[3][1] * scale + start_y
px3 = ps[2][0] * scale + start_x
py3 = ps[2][1] * scale + start_y
px1 = min(max(px1, 1), image_width - 1)
px2 = min(max(px2, 1), image_width - 1)
px3 = min(max(px3, 1), image_width - 1)
px4 = min(max(px4, 1), image_width - 1)
py1 = min(max(py1, 1), image_height - 1)
py2 = min(max(py2, 1), image_height - 1)
py3 = min(max(py3, 1), image_height - 1)
py4 = min(max(py4, 1), image_height - 1)
return [px1, py1, px2, py2, px3, py3, px4, py4]
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