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# see huggingface/project
# pip install numpy==1.24.4 opencv-python==4.10.0.84 flask==3.1.0 -i https://mirrors.aliyun.com/pypi/simple/
# paddlex 3.0.0b2 requires numpy==1.24.4
# numpy==1.23.5
# .88 see /root/tools/flask_auto_selection.py
# 44c08650fa2e54c6be381530a8dd8b5e 这个有问题
is_debug = False
dic_cache = {}
from flask import Flask, request, jsonify
app = Flask(__name__)
import numpy as np
import cv2
import json
import base64
import os, math, re
def save_json(filename, dics):
with open(filename, 'w', encoding='utf-8') as fp:
json.dump(dics, fp, indent=4, ensure_ascii=False)
fp.close()
def load_json(filename):
with open(filename, encoding='utf-8') as fp:
js = json.load(fp)
fp.close()
return js
# convert string to json
def jsonparse(s):
return json.loads(s, strict=False)
# convert dict to string
def jsonstring(d):
return json.dumps(d, ensure_ascii=False)
def show_img(image, target_width=400):
# 获取原始图片的宽度和高度
original_height, original_width = image.shape[:2]
# 计算缩放比例和目标高度
scale = target_width / original_width
target_height = int(original_height * scale)
# 等比例缩放图片
resized_image = cv2.resize(image, (target_width, target_height), interpolation=cv2.INTER_AREA)
cv2.imshow("green", resized_image)
cv2.waitKey(0)
return resized_image
def get_selections(dir, m5):
dir_pplabel = 'pplabel'
if not os.path.exists(dir_pplabel):
os.mkdir( dir_pplabel )
pth_Label = os.path.join(dir_pplabel, 'Label.txt')
Label_txt = ''
Label_txt += f'''{dir_pplabel}/{m5}.jpg\t'''
pth_img = os.path.join(dir, 'img/{}.txt'.format(m5))
pth_json = os.path.join(dir, 'json/{}.json'.format(m5))
if not os.path.exists(pth_img): # 没有相应的图片，可能被删除了
# raise Exception(f'Warnnig: no image {pth_img}')
print( f'Warnnig: no image {pth_img}' )
return []
if not os.path.exists(pth_json):
# raise Exception(f'Warnnig: no image {pth_json}')
return []
if is_debug:
with open(pth_img, "r", encoding="utf-8") as fp:
imgdata = fp.read()
imgdata = base64.b64decode(imgdata)
imgdata = np.frombuffer(imgdata, np.uint8)
img = cv2.imdecode(imgdata, cv2.IMREAD_UNCHANGED)
# cv2.imshow('img', img)
# cv2.waitKey(0)
if len(img.shape) != 3: # 转彩图
img_color = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) # DBNet 原版只能处理彩图，这里转一下
else:
img_color = img.copy()
cv2.imwrite(os.path.join(dir_pplabel, f'{m5}.jpg'), img_color)
jsn = load_json(pth_json)
orgHeight = jsn['orgHeight']
orgWidth = jsn['orgWidth']
def left_right(jsn, img_color, Label_txt, pth_Label):
"""
左右分栏模板
"""
array = []
array2 = []
wordsInfo = jsn['prism_wordsInfo']
for j in range(len(wordsInfo)):
jo = wordsInfo[j]
word = jo["word"]
# prism-wordsInfo 里的 angle 文字块的角度，这个角度只影响width和height，当角度为-90、90、-270、270，width和height的值需要自行互换
angle = jo['angle']
word_x = jo['x']
word_y = jo['y']
word_width = jo['width']
word_height = jo['height']
if abs(angle) == 90 or abs(angle) == 270:
word_width = jo['height']
word_height = jo['width']
pos = jo['pos']
# 四个角的位置 左上、右上、右下、左下 顺时针方向
lu = [pos[0]['x'], pos[0]['y']]
ru = [pos[1]['x'], pos[1]['y']]
rd = [pos[2]['x'], pos[2]['y']]
ld = [pos[3]['x'], pos[3]['y']]
x1 = min( pos[0]['x'], pos[3]['x'] ) # 当前行的极左
x2 = max( pos[1]['x'], pos[2]['x'] ) # 当前行的极右
y1 = min( pos[0]['y'], pos[1]['y'] ) # 当前行的极上
y2 = max( pos[2]['y'], pos[3]['y'] ) # 当前行的极下
#img_color = cv2.rectangle(img_color, (x1, y1), (x2, y2), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
#img_color = cv2.rectangle(img_color, (lu[0], lu[1]), (rd[0], rd[1]), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
if match := re.compile('(^\d+)\.').search(word):
nth = int( match.group(1) )
print( nth, word )
array.append( { "nth":nth, "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
else:
array2.append( { "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
pass
transcriptions = []
last_x2 = 99999
x_right = -1
left = []
right = []
for idx, item in enumerate(array):
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
if x_right == -1 and x1 > last_x2:
# 第一次超过上一行的右边
x_right = x1
if x_right != -1:
right.append( item )
else:
left.append( item )
last_x2 = x2
if len(left) > 0 and len(right) > 0:
min_x1_left = 99999
min_y1_left = 99999
max_x2_left = -1
max_y2_left = -1
for item in left:
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
y1 = leftup[1]
y2 = rightdown[1]
if x1 < min_x1_left:
min_x1_left = x1
if y1 < min_y1_left:
min_y1_left = y1
if x2 > max_x2_left:
max_x2_left = x2
if y2 > max_y2_left:
max_y2_left = y2
if len(array2)> 0:
for item in array2:
if item['leftup'][1] < min_y1_left:
min_y1_left = item['leftup'][1]
if item['rightdown'][1] > max_y2_left:
max_y2_left = item['rightdown'][1]
img_color = cv2.rectangle(img_color, (min_x1_left, min_y1_left), (max_x2_left, max_y2_left), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
transcriptions.append( {"transcription": "", "points":[ [min_x1_left, min_y1_left], [max_x2_left, min_y1_left], [max_x2_left, max_y2_left], [min_x1_left, max_y2_left] ]} )
if len(left) > 0 and len(right) > 0:
min_x1_left = 99999
min_y1_left = 99999
max_x2_left = -1
max_y2_left = -1
for item in right:
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
y1 = leftup[1]
y2 = rightdown[1]
if x1 < min_x1_left:
min_x1_left = x1
if y1 < min_y1_left:
min_y1_left = y1
if x2 > max_x2_left:
max_x2_left = x2
if y2 > max_y2_left:
max_y2_left = y2
if len(array2)> 0:
for item in array2:
if item['leftup'][1] < min_y1_left:
min_y1_left = item['leftup'][1]
if item['rightdown'][1] > max_y2_left:
max_y2_left = item['rightdown'][1]
img_color = cv2.rectangle(img_color, (min_x1_left, min_y1_left), (max_x2_left, max_y2_left), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
# [{"transcription":"","points":[[160,167],[1123,167],[1123,2970],[160,2970]]},{"transcription":"","points":[[1134,160],[2078,160],[2078,2933],[1134,2933]]}]
# points 是框选的矩形四个角坐标： 左上 右上 右下 左下
transcriptions.append( {"transcription": "", "points":[ [min_x1_left, min_y1_left], [max_x2_left, min_y1_left], [max_x2_left, max_y2_left], [min_x1_left, max_y2_left] ]} )
if len(transcriptions) > 0:
Label_txt += jsonstring( transcriptions )
Label_txt += '\n'
with open(pth_Label, 'w', encoding='utf-8') as f:
f.write(Label_txt)
# huggingface/PPOCRLabel/PPOCRLabel.py 用这个打开目录
# ok 标注框是对的
cv2.imwrite(os.path.join(dir_pplabel, f'{m5}_auto_select.jpg'), img_color)
return transcriptions
def left_noright(jsn, img_color, Label_txt, pth_Label):
"""
左右分栏模板
"""
array = []
array2 = []
wordsInfo = jsn['prism_wordsInfo']
for j in range(len(wordsInfo)):
jo = wordsInfo[j]
word = jo["word"]
# prism-wordsInfo 里的 angle 文字块的角度，这个角度只影响width和height，当角度为-90、90、-270、270，width和height的值需要自行互换
angle = jo['angle']
word_x = jo['x']
word_y = jo['y']
word_width = jo['width']
word_height = jo['height']
if abs(angle) == 90 or abs(angle) == 270:
word_width = jo['height']
word_height = jo['width']
pos = jo['pos']
# 四个角的位置 左上、右上、右下、左下 顺时针方向
lu = [pos[0]['x'], pos[0]['y']]
ru = [pos[1]['x'], pos[1]['y']]
rd = [pos[2]['x'], pos[2]['y']]
ld = [pos[3]['x'], pos[3]['y']]
x1 = min( pos[0]['x'], pos[3]['x'] ) # 当前行的极左
x2 = max( pos[1]['x'], pos[2]['x'] ) # 当前行的极右
y1 = min( pos[0]['y'], pos[1]['y'] ) # 当前行的极上
y2 = max( pos[2]['y'], pos[3]['y'] ) # 当前行的极下
#img_color = cv2.rectangle(img_color, (x1, y1), (x2, y2), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
#img_color = cv2.rectangle(img_color, (lu[0], lu[1]), (rd[0], rd[1]), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
if match := re.compile('(^[\S]+)').search(word):
g1 = match.group(1)
# print( g1 )
array.append( { "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
array2.append( { "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
pass
transcriptions = []
last_x2 = 99999
x_right = -1
left = []
right = []
for idx, item in enumerate(array):
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
if x_right == -1 and x1 > last_x2:
# 第一次超过上一行的右边
x_right = x1
if x_right != -1:
right.append( item )
else:
left.append( item )
last_x2 = x2
if len(left) > 5:
min_x1_left = 99999
min_y1_left = 99999
max_x2_left = -1
max_y2_left = -1
for item in left:
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
y1 = leftup[1]
y2 = rightdown[1]
if x1 < min_x1_left:
min_x1_left = x1
if y1 < min_y1_left:
min_y1_left = y1
if x2 > max_x2_left:
max_x2_left = x2
if y2 > max_y2_left:
max_y2_left = y2
if len(array2)> 0:
for item in array2:
if item['leftup'][1] < min_y1_left:
min_y1_left = item['leftup'][1]
if item['rightdown'][1] > max_y2_left:
max_y2_left = item['rightdown'][1]
img_color = cv2.rectangle(img_color, (min_x1_left, min_y1_left), (max_x2_left, max_y2_left), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
transcriptions.append( {"transcription": "", "points":[ [min_x1_left, min_y1_left], [max_x2_left, min_y1_left], [max_x2_left, max_y2_left], [min_x1_left, max_y2_left] ]} )
if len(right) > 5:
min_x1_left = 99999
min_y1_left = 99999
max_x2_left = -1
max_y2_left = -1
for item in right:
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
y1 = leftup[1]
y2 = rightdown[1]
if x1 < min_x1_left:
min_x1_left = x1
if y1 < min_y1_left:
min_y1_left = y1
if x2 > max_x2_left:
max_x2_left = x2
if y2 > max_y2_left:
max_y2_left = y2
if len(array2)> 0:
for item in array2:
if item['leftup'][1] < min_y1_left:
min_y1_left = item['leftup'][1]
if item['rightdown'][1] > max_y2_left:
max_y2_left = item['rightdown'][1]
img_color = cv2.rectangle(img_color, (min_x1_left, min_y1_left), (max_x2_left, max_y2_left), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
transcriptions.append( {"transcription": "", "points":[ [min_x1_left, min_y1_left], [max_x2_left, min_y1_left], [max_x2_left, max_y2_left], [min_x1_left, max_y2_left] ]} )
if len(transcriptions) > 0:
Label_txt += jsonstring( transcriptions )
Label_txt += '\n'
with open(pth_Label, 'w', encoding='utf-8') as f:
f.write(Label_txt)
# huggingface/PPOCRLabel/PPOCRLabel.py 用这个打开目录
# ok 标注框是对的
cv2.imwrite(os.path.join(dir_pplabel, f'{m5}_auto_select.jpg'), img_color)
return transcriptions
transcriptions = left_right(jsn, img_color, Label_txt, pth_Label)
if len(transcriptions) > 0:
return transcriptions
transcriptions = left_noright(jsn, img_color, Label_txt, pth_Label)
if len(transcriptions) > 0:
return transcriptions
return []
def get_selectionsv2(dir, m5):
transcriptions = []
dir_pplabel = 'pplabel'
if not os.path.exists(dir_pplabel):
os.mkdir( dir_pplabel )
pth_Label = os.path.join(dir_pplabel, 'Label.txt')
Label_txt = ''
Label_txt += f'''{dir_pplabel}/{m5}.jpg\t'''
pth_img = os.path.join(dir, 'img/{}.txt'.format(m5))
pth_json = os.path.join(dir, 'json/{}.json'.format(m5))
if not os.path.exists(pth_img): # 没有相应的图片，可能被删除了
# raise Exception(f'Warnnig: no image {pth_img}')
print( f'Warnnig: no image {pth_img}' )
return []
if not os.path.exists(pth_json):
# raise Exception(f'Warnnig: no image {pth_json}')
print( f'Warnnig: no json {pth_json}' )
return []
img_color = None
if is_debug:
with open(pth_img, "r", encoding="utf-8") as fp:
imgdata = fp.read()
imgdata = base64.b64decode(imgdata)
imgdata = np.frombuffer(imgdata, np.uint8)
img = cv2.imdecode(imgdata, cv2.IMREAD_UNCHANGED)
# cv2.imshow('img', img)
# cv2.waitKey(0)
if len(img.shape) != 3: # 转彩图
img_color = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) # DBNet 原版只能处理彩图，这里转一下
else:
img_color = img.copy()
cv2.imwrite(os.path.join(dir_pplabel, f'{m5}.jpg'), img_color)
jsn = load_json(pth_json)
orgHeight = jsn['orgHeight']
orgWidth = jsn['orgWidth']
def pos_info(jsn, img_color):
array_digitNum = []
array_digitZH = []
array_ZH = []
array_other = []
wordsInfo = jsn['prism_wordsInfo']
for j in range(len(wordsInfo)):
jo = wordsInfo[j]
word = jo["word"]
# prism-wordsInfo 里的 angle 文字块的角度，这个角度只影响width和height，当角度为-90、90、-270、270，width和height的值需要自行互换
angle = jo['angle']
word_x = jo['x']
word_y = jo['y']
word_width = jo['width']
word_height = jo['height']
if abs(angle) == 90 or abs(angle) == 270:
word_width = jo['height']
word_height = jo['width']
pos = jo['pos']
# 四个角的位置 左上、右上、右下、左下 顺时针方向
lu = [pos[0]['x'], pos[0]['y']]
ru = [pos[1]['x'], pos[1]['y']]
rd = [pos[2]['x'], pos[2]['y']]
ld = [pos[3]['x'], pos[3]['y']]
x1 = min( pos[0]['x'], pos[3]['x'] ) # 当前行的极左
x2 = max( pos[1]['x'], pos[2]['x'] ) # 当前行的极右
y1 = min( pos[0]['y'], pos[1]['y'] ) # 当前行的极上
y2 = max( pos[2]['y'], pos[3]['y'] ) # 当前行的极下
#img_color = cv2.rectangle(img_color, (x1, y1), (x2, y2), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
#img_color = cv2.rectangle(img_color, (lu[0], lu[1]), (rd[0], rd[1]), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
if len(word) >= 10 and ( match := re.compile('(^\d+)\.[\S]').search(word) ):
# if len(word) >= 10:
nth = int( match.group(1) )
print('digitNum: ', nth)
array_digitNum.append( { "nth":nth, "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
elif match := re.compile('(^[一二三四五六七八九十]+、)').search(word):
nth = match.group(1)
print('digitZH: ', nth)
array_digitZH.append( { "nth":nth, "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
elif match := re.compile('(^[\u4e00-\u9fa5]+)').search(word):
zh = match.group(1)
print('ZH: ', zh)
array_ZH.append( { "zh":zh, "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
elif match := re.compile('(^[\S])').search(word):
other = match.group(1)
print('other: ', other)
array_other.append( { "other":other, "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
return array_digitNum, array_digitZH, array_ZH, array_other
# 是否左右分栏
def is_left_right(array, orgWidth):
def minmax(ar):
"""
极左极右
"""
min_x = 99999
max_x = -1
for item in ar:
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
if x1 < min_x:
min_x = x1
if x2 > max_x:
max_x = x2
return min_x, max_x
def relatedWidth(min_x, max_x):
"""
相对宽度
"""
w = max_x - min_x
return w
min_x, max_x = minmax(array)
rltWidth = relatedWidth( min_x, max_x )
last_x2 = 99999
x_right = -1
left = []
right = []
flag = False
for idx, item in enumerate(array):
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
if not flag and x1 > rltWidth / 2:
right.append( item )
continue
elif x1 <= rltWidth / 2:
flag = True
if x_right == -1 and x1 > last_x2:
# 第一次超过上一行的右边
x_right = x1
if x_right != -1 and x1 > last_x2:
right.append( item )
else:
left.append( item )
if x_right == -1:
last_x2 = x2
# if len(left) > 0 and len(right) >0:
# return True
# return False
return left, right
def middle_left_right(left, right):
"""
找出左右分栏中间区域的极左和极右
"""
# 左边找极右
max_right = -1
for idx, item in enumerate(left):
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
if x2 > max_right:
max_right = x2
# 右边找极左
min_left = 99999
for idx, item in enumerate(right):
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
if x1 < min_left:
min_left = x1
return min_left, max_right
def left_or_right( min_left, max_right, array ):
"""
max_right: 左边极右（左右分栏的左栏）
min_left: 右边极左（左右分栏的右栏）
"""
left = []
right = []
for idx, item in enumerate(array):
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
if x1 < min_left and x2 < min_left:
# 它的左边小于的右边极左，并且它的右边也小于的右边极左
left.append( item )
elif x1 > max_right:
# 它的左边大于中间区域的右边
right.append( item )
else:
print(f'Waring: not left AND not right. {item}')
return left, right
def get_selection(array, img_color):
transcriptions = []
if len(array) > 0:
min_x1_left = 99999
min_y1_left = 99999
max_x2_left = -1
max_y2_left = -1
for item in array:
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
y1 = leftup[1]
y2 = rightdown[1]
if x1 < min_x1_left:
min_x1_left = x1
if y1 < min_y1_left:
min_y1_left = y1
if x2 > max_x2_left:
max_x2_left = x2
if y2 > max_y2_left:
max_y2_left = y2
if is_debug:
img_color = cv2.rectangle(img_color, (min_x1_left, min_y1_left), (max_x2_left, max_y2_left), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
resized_image = show_img(img_color)
cv2.imwrite(os.path.join(dir_pplabel, f'{m5}_select.jpg'), resized_image)
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
transcriptions.append( {"transcription": "", "points":[ [min_x1_left, min_y1_left], [max_x2_left, min_y1_left], [max_x2_left, max_y2_left], [min_x1_left, max_y2_left] ]} )
return transcriptions
def left_right(jsn, img_color, Label_txt, pth_Label):
"""
左右分栏模板
"""
array = []
array2 = []
wordsInfo = jsn['prism_wordsInfo']
for j in range(len(wordsInfo)):
jo = wordsInfo[j]
word = jo["word"]
# prism-wordsInfo 里的 angle 文字块的角度，这个角度只影响width和height，当角度为-90、90、-270、270，width和height的值需要自行互换
angle = jo['angle']
word_x = jo['x']
word_y = jo['y']
word_width = jo['width']
word_height = jo['height']
if abs(angle) == 90 or abs(angle) == 270:
word_width = jo['height']
word_height = jo['width']
pos = jo['pos']
# 四个角的位置 左上、右上、右下、左下 顺时针方向
lu = [pos[0]['x'], pos[0]['y']]
ru = [pos[1]['x'], pos[1]['y']]
rd = [pos[2]['x'], pos[2]['y']]
ld = [pos[3]['x'], pos[3]['y']]
x1 = min( pos[0]['x'], pos[3]['x'] ) # 当前行的极左
x2 = max( pos[1]['x'], pos[2]['x'] ) # 当前行的极右
y1 = min( pos[0]['y'], pos[1]['y'] ) # 当前行的极上
y2 = max( pos[2]['y'], pos[3]['y'] ) # 当前行的极下
#img_color = cv2.rectangle(img_color, (x1, y1), (x2, y2), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
#img_color = cv2.rectangle(img_color, (lu[0], lu[1]), (rd[0], rd[1]), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
if match := re.compile('(^\d+)\.').search(word):
nth = int( match.group(1) )
print( nth, word )
array.append( { "nth":nth, "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
else:
array2.append( { "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
pass
transcriptions = []
last_x2 = 99999
x_right = -1
left = []
right = []
for idx, item in enumerate(array):
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
if x_right == -1 and x1 > last_x2:
# 第一次超过上一行的右边
x_right = x1
if x_right != -1:
right.append( item )
else:
left.append( item )
last_x2 = x2
if len(left) > 0 and len(right) > 0:
min_x1_left = 99999
min_y1_left = 99999
max_x2_left = -1
max_y2_left = -1
for item in left:
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
y1 = leftup[1]
y2 = rightdown[1]
if x1 < min_x1_left:
min_x1_left = x1
if y1 < min_y1_left:
min_y1_left = y1
if x2 > max_x2_left:
max_x2_left = x2
if y2 > max_y2_left:
max_y2_left = y2
if len(array2)> 0:
for item in array2:
if item['leftup'][1] < min_y1_left:
min_y1_left = item['leftup'][1]
if item['rightdown'][1] > max_y2_left:
max_y2_left = item['rightdown'][1]
img_color = cv2.rectangle(img_color, (min_x1_left, min_y1_left), (max_x2_left, max_y2_left), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
transcriptions.append( {"transcription": "", "points":[ [min_x1_left, min_y1_left], [max_x2_left, min_y1_left], [max_x2_left, max_y2_left], [min_x1_left, max_y2_left] ]} )
if len(left) > 0 and len(right) > 0:
min_x1_left = 99999
min_y1_left = 99999
max_x2_left = -1
max_y2_left = -1
for item in right:
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
y1 = leftup[1]
y2 = rightdown[1]
if x1 < min_x1_left:
min_x1_left = x1
if y1 < min_y1_left:
min_y1_left = y1
if x2 > max_x2_left:
max_x2_left = x2
if y2 > max_y2_left:
max_y2_left = y2
if len(array2)> 0:
for item in array2:
if item['leftup'][1] < min_y1_left:
min_y1_left = item['leftup'][1]
if item['rightdown'][1] > max_y2_left:
max_y2_left = item['rightdown'][1]
img_color = cv2.rectangle(img_color, (min_x1_left, min_y1_left), (max_x2_left, max_y2_left), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
# [{"transcription":"","points":[[160,167],[1123,167],[1123,2970],[160,2970]]},{"transcription":"","points":[[1134,160],[2078,160],[2078,2933],[1134,2933]]}]
# points 是框选的矩形四个角坐标： 左上 右上 右下 左下
transcriptions.append( {"transcription": "", "points":[ [min_x1_left, min_y1_left], [max_x2_left, min_y1_left], [max_x2_left, max_y2_left], [min_x1_left, max_y2_left] ]} )
if len(transcriptions) > 0:
Label_txt += jsonstring( transcriptions )
Label_txt += '\n'
with open(pth_Label, 'w', encoding='utf-8') as f:
f.write(Label_txt)
# huggingface/PPOCRLabel/PPOCRLabel.py 用这个打开目录
# ok 标注框是对的
cv2.imwrite(os.path.join(dir_pplabel, f'{m5}_auto_select.jpg'), img_color)
return transcriptions
def left_noright(jsn, img_color, Label_txt, pth_Label):
"""
左右分栏模板
"""
array = []
array2 = []
wordsInfo = jsn['prism_wordsInfo']
for j in range(len(wordsInfo)):
jo = wordsInfo[j]
word = jo["word"]
# prism-wordsInfo 里的 angle 文字块的角度，这个角度只影响width和height，当角度为-90、90、-270、270，width和height的值需要自行互换
angle = jo['angle']
word_x = jo['x']
word_y = jo['y']
word_width = jo['width']
word_height = jo['height']
if abs(angle) == 90 or abs(angle) == 270:
word_width = jo['height']
word_height = jo['width']
pos = jo['pos']
# 四个角的位置 左上、右上、右下、左下 顺时针方向
lu = [pos[0]['x'], pos[0]['y']]
ru = [pos[1]['x'], pos[1]['y']]
rd = [pos[2]['x'], pos[2]['y']]
ld = [pos[3]['x'], pos[3]['y']]
x1 = min( pos[0]['x'], pos[3]['x'] ) # 当前行的极左
x2 = max( pos[1]['x'], pos[2]['x'] ) # 当前行的极右
y1 = min( pos[0]['y'], pos[1]['y'] ) # 当前行的极上
y2 = max( pos[2]['y'], pos[3]['y'] ) # 当前行的极下
#img_color = cv2.rectangle(img_color, (x1, y1), (x2, y2), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
#img_color = cv2.rectangle(img_color, (lu[0], lu[1]), (rd[0], rd[1]), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
if match := re.compile('(^[\S]+)').search(word):
g1 = match.group(1)
# print( g1 )
array.append( { "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
array2.append( { "line":word, "leftup":(x1, y1), "rightdown":(x2, y2) } )
pass
transcriptions = []
last_x2 = 99999
x_right = -1
left = []
right = []
for idx, item in enumerate(array):
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
if x_right == -1 and x1 > last_x2:
# 第一次超过上一行的右边
x_right = x1
if x_right != -1:
right.append( item )
else:
left.append( item )
last_x2 = x2
if len(left) > 5:
min_x1_left = 99999
min_y1_left = 99999
max_x2_left = -1
max_y2_left = -1
for item in left:
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
y1 = leftup[1]
y2 = rightdown[1]
if x1 < min_x1_left:
min_x1_left = x1
if y1 < min_y1_left:
min_y1_left = y1
if x2 > max_x2_left:
max_x2_left = x2
if y2 > max_y2_left:
max_y2_left = y2
if len(array2)> 0:
for item in array2:
if item['leftup'][1] < min_y1_left:
min_y1_left = item['leftup'][1]
if item['rightdown'][1] > max_y2_left:
max_y2_left = item['rightdown'][1]
img_color = cv2.rectangle(img_color, (min_x1_left, min_y1_left), (max_x2_left, max_y2_left), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
transcriptions.append( {"transcription": "", "points":[ [min_x1_left, min_y1_left], [max_x2_left, min_y1_left], [max_x2_left, max_y2_left], [min_x1_left, max_y2_left] ]} )
if len(right) > 5:
min_x1_left = 99999
min_y1_left = 99999
max_x2_left = -1
max_y2_left = -1
for item in right:
leftup = item['leftup']
rightdown = item['rightdown']
x1 = leftup[0]
x2 = rightdown[0]
y1 = leftup[1]
y2 = rightdown[1]
if x1 < min_x1_left:
min_x1_left = x1
if y1 < min_y1_left:
min_y1_left = y1
if x2 > max_x2_left:
max_x2_left = x2
if y2 > max_y2_left:
max_y2_left = y2
if len(array2)> 0:
for item in array2:
if item['leftup'][1] < min_y1_left:
min_y1_left = item['leftup'][1]
if item['rightdown'][1] > max_y2_left:
max_y2_left = item['rightdown'][1]
img_color = cv2.rectangle(img_color, (min_x1_left, min_y1_left), (max_x2_left, max_y2_left), (0, 255, 0), 2) # 矩形的左上角, 矩形的右下角
# cv2.imshow("green", img_color)
# cv2.waitKey(0)
transcriptions.append( {"transcription": "", "points":[ [min_x1_left, min_y1_left], [max_x2_left, min_y1_left], [max_x2_left, max_y2_left], [min_x1_left, max_y2_left] ]} )
if len(transcriptions) > 0:
Label_txt += jsonstring( transcriptions )
Label_txt += '\n'
with open(pth_Label, 'w', encoding='utf-8') as f:
f.write(Label_txt)
# huggingface/PPOCRLabel/PPOCRLabel.py 用这个打开目录
# ok 标注框是对的
cv2.imwrite(os.path.join(dir_pplabel, f'{m5}_auto_select.jpg'), img_color)
return transcriptions
array_digitNum, array_digitZH, array_ZH, array_other = pos_info(jsn, img_color)
left_digitNum, right_digitNum = is_left_right(array_digitNum, orgWidth)
left_digitZH, right_digitZH = is_left_right(array_digitZH, orgWidth)
if len(left_digitNum) > 0 and len(right_digitNum) > 0:
"""
左右分栏
"""
# 找中间区域的左右 x 坐标 我
min_left, max_right = middle_left_right(left_digitNum, right_digitNum)
# 乘下的东西全部分成左右两边
left, right = left_or_right( min_left, max_right, array_digitZH + array_ZH + array_other )
left_filted = [ item for item in left if len(item['line']) > 1 ]
right_filted = [ item for item in right if len(item['line']) > 1 ]
transcriptions_left = get_selection(left_digitNum + left_filted, img_color)
transcriptions_right = get_selection(right_digitNum + right_filted, img_color)
transcriptions = transcriptions_left + transcriptions_right
pass
elif len(left_digitZH) > 0 and len(right_digitZH) > 0:
# 左右分栏
pass
else:
# 单栏
transcriptions = get_selection(array_digitNum + array_digitZH + array_ZH + array_other, img_color)
# transcriptions = left_right(jsn, img_color, Label_txt, pth_Label)
# if len(transcriptions) > 0:
# return transcriptions
# transcriptions = left_noright(jsn, img_color, Label_txt, pth_Label)
# if len(transcriptions) > 0:
# return transcriptions
return transcriptions
@app.route('/img/autoselection', methods=['post'])
def autoselection():
global dic_cache
# request.json 只能够接受方法为POST、Body为raw，header 内容为 application/json类型的数据
print(request.json, type(request.json))
dir = '/yingedu/project/ocr_server_test/data/'
import sys
if sys.platform.startswith('win'):
dir = 'D:/workcode/nodejs/ocr/tools/data'
m5 = request.json['m5']
if m5 in dic_cache:
transcriptions = dic_cache[m5]
print( '########## hint cache.' )
else:
transcriptions = get_selectionsv2(dir, m5)
dic_cache[m5] = transcriptions
# print( transcriptions )
# ret = { "status": 200, "data":transcriptions }
return jsonify(transcriptions)
if __name__ == '__main__':
dir = '/yingedu/project/ocr_server_test/data/'
m5 = 'b0cd8663d03d596eab297a8250bf116c'
mds = [
'b0cd8663d03d596eab297a8250bf116c',
'002a5d44e1771320fdcddb5df4e3cdb1',
'3ce51feeb9a548e373fe72eb28df4a6b',
'4b890c40319f8857be7a95705d8e61a3',
'b4ea47ca3af4c2862b75299fdaf103a8',
'd153c1c67a9502584c579ea7dd8f54e5',
'9c80bd010a27cc410e77eea76170c829',
'ab35bfe44d130564efce70bf5f1152cd',
'794629e25384df1b8b49936a7159166d',
'b89548a9c03b2de2d19c10e9173d9624',
'756819dd53a98691859de016f7138d71',
'6f63f59e6b826fa8a3284282cb503574',
'5f232626c6d37267733c4383bea0550f',
'5269bc6508598a8ee5dbd753ea353a3c',
]
# mds = [
# '020bbac5534add85eb9d5bce4afedfb3',
# ]
if is_debug:
dir = 'D:/workcode/nodejs/ocr/tools/data'
for m in mds:
transcriptions = get_selectionsv2(dir, m)
print( transcriptions )
else:
app.run(host="0.0.0.0", port=2393, debug=True)
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