群集边界框并在其上画线（OpenCV，Python）

Question

通过此代码，我在下图中的字符周围创建了一些边界框：

import csv
import cv2
from pytesseract import pytesseract as pt

pt.run_tesseract('bb.png', 'output', lang=None, boxes=True, config="hocr")

# To read the coordinates
boxes = []
with open('output.box', 'rt') as f:
    reader = csv.reader(f, delimiter=' ')
    for row in reader:
        if len(row) == 6:
            boxes.append(row)

# Draw the bounding box
img = cv2.imread('bb.png')
h, w, _ = img.shape
for b in boxes:
    img = cv2.rectangle(img, (int(b[1]), h-int(b[2])), (int(b[3]), h-int(b[4])), (0, 255, 0), 2)

cv2.imshow('output', img)
cv2.waitKey(0)

输出值

我想拥有的是：

程序应在边框的X轴上绘制一条垂直线（仅适用于第一个和第三个文本区域。中间的那个区域对此过程不应有兴趣）。

目标是这样（还有另一种实现方法，请解释）：一旦我有了这两条线（或者更好的是一组坐标），就使用遮罩覆盖这两个区域。

可能吗 ？

源图像：

要求的CSV：打印（框）

[['l', '56', '328', '63', '365', '0'], ['i', '69', '328', '76', '365', '0'], ['n', '81', '328', '104', '354', '0'], ['e', '108', '328', '130', '354', '0'], ['1', '147', '328', '161', '362', '0'], ['m', '102', '193', '151', '227', '0'], ['i', '158', '193', '167', '242', '0'], ['d', '173', '192', '204', '242', '0'], ['d', '209', '192', '240', '242', '0'], ['l', '247', '193', '256', '242', '0'], ['e', '262', '192', '292', '227', '0'], ['t', '310', '192', '331', '235', '0'], ['e', '334', '192', '364', '227', '0'], ['x', '367', '193', '398', '227', '0'], ['t', '399', '192', '420', '235', '0'], ['-', '440', '209', '458', '216', '0'], ['n', '481', '193', '511', '227', '0'], ['o', '516', '192', '548', '227', '0'], ['n', '553', '193', '583', '227', '0'], ['t', '602', '192', '623', '235', '0'], ['o', '626', '192', '658', '227', '0'], ['t', '676', '192', '697', '235', '0'], ['o', '700', '192', '732', '227', '0'], ['u', '737', '192', '767', '227', '0'], ['c', '772', '192', '802', '227', '0'], ['h', '806', '193', '836', '242', '0'], ['l', '597', '49', '604', '86', '0'], ['i', '610', '49', '617', '86', '0'], ['n', '622', '49', '645', '75', '0'], ['e', '649', '49', '671', '75', '0'], ['2', '686', '49', '710', '83', '0']]

编辑：

要使用zindarod答案，您需要tesserocr。通过安装pip install tesserocr会给您各种错误。我找到了它的轮式版本（经过数小时尝试安装和解决错误，请在答案下方查看我的评论...）：在这里您可以找到/下载它。

希望这可以帮助..

Answer 1

Google的tesseract-ocr在页面分割方法（psm）中已经具有此功能。您只需要使用更好的python包装器，比pytesseract暴露更多的tesseract功能。更好的之一是tesserocr。

您的图片的一个简单示例：

  import cv2
  import numpy as np
  import tesserocr as tr
  from PIL import Image

  cv_img = cv2.imread('text.png', cv2.IMREAD_UNCHANGED)

  # since tesserocr accepts PIL images, converting opencv image to pil
  pil_img = Image.fromarray(cv2.cvtColor(cv_img,cv2.COLOR_BGR2RGB))

  #initialize api
  api = tr.PyTessBaseAPI()
  try:
    # set pil image for ocr
    api.SetImage(pil_img)
    # Google tesseract-ocr has a page segmentation methos(psm) option for specifying ocr types
    # psm values can be: block of text, single text line, single word, single character etc.
    # api.GetComponentImages method exposes this functionality
    # function returns:
    # image (:class:`PIL.Image`): Image object.
    # bounding box (dict): dict with x, y, w, h keys.
    # block id (int): textline block id (if blockids is ``True``). ``None`` otherwise.
    # paragraph id (int): textline paragraph id within its block (if paraids is True).
    # ``None`` otherwise.
    boxes = api.GetComponentImages(tr.RIL.TEXTLINE,True)
    # get text
    text = api.GetUTF8Text()
    # iterate over returned list, draw rectangles
    for (im,box,_,_) in boxes:
      x,y,w,h = box['x'],box['y'],box['w'],box['h']
      cv2.rectangle(cv_img, (x,y), (x+w,y+h), color=(0,0,255))
  finally:
    api.End()

  cv2.imshow('output', cv_img)
  cv2.waitKey(0)
  cv2.destroyAllWindows()