如何使用python 3.x检测字符的位置 [英] How to detect location of characters using python 3.x

问题描述

我想检测图像中每个字符的位置.

I want to detect the location of each character in an image.

我按照如何在pytesseract中获得角色位置的建议尝试了pytesseract 但给我一个错误

import csv
import cv2
from pytesseract import pytesseract as pt

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

# To read the coordinates
boxes = []
with open('output.box', 'rb') 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('bw.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])),(255,0,0),2)

cv2.imshow('output',img)



---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-38-bad5c94b3e13> in <module>()
      3 from pytesseract import pytesseract as pt
      4 
----> 5 pt.run_tesseract('input/1230.jpg', 'output', lang=None, boxes=True, config="hocr")
      6 
      7 # To read the coordinates

TypeError: run_tesseract() got an unexpected keyword argument 'boxes'

我确实意识到它适用于python 2.7，有人可以指导我还是让我开始了解如何针对python 3.x进行操作

I do realise its for python 2.7, can someone guide me or give me a start on how to do it for python 3.x

然后我尝试了tesserocr，无论如何，它似乎无法解决tessdata的路径，我尝试使用tesseracct-ocr，尝试手动下载tessdata，但仍然存在相同的错误.

Then i tried tesserocr which cannot seem to resolve the path of tessdata no matter what, i tried using tesseracct-ocr, tried manually downloading tessdata but still same error.

from PIL import Image
from tesserocr import PyTessBaseAPI, RIL

image = Image.open('train/1230.jpg')
with PyTessBaseAPI(path="C:\\Users\light\Desktop\tessdata-master") as api:
    api.SetImage(image)
    boxes = api.GetComponentImages(RIL.TEXTLINE, True)
    print('Found {} textline image components.'.format(len(boxes)))
    for i, (im, box, _, _) in enumerate(boxes):
        # im is a PIL image object
        # box is a dict with x, y, w and h keys
        api.SetRectangle(box['x'], box['y'], box['w'], box['h'])
        ocrResult = api.GetUTF8Text()
        conf = api.MeanTextConf()
        print (u"Box[{0}]: x={x}, y={y}, w={w}, h={h}, "
               "confidence: {1}, text: {2}").format(i, conf, ocrResult, **box)


---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-11-68789b2bbe93> in <module>()
      3 
      4 image = Image.open('train/1230.jpg')
----> 5 with PyTessBaseAPI(path="C:\\Users\light\Desktop\tessdata-master") as api:
      6     api.SetImage(image)
      7     boxes = api.GetComponentImages(RIL.TEXTLINE, True)

tesserocr.pyx in tesserocr._tesserocr.PyTessBaseAPI.__cinit__()

tesserocr.pyx in tesserocr._tesserocr.PyTessBaseAPI._init_api()

RuntimeError: Failed to init API, possibly an invalid tessdata path: C:\Users\light\Desktop essdata-master

推荐答案

使用pytesseract和image_to_boxes方法获取字符及其在图像中的位置:

To get the characters and their position in the image using pytesseract with the method image_to_boxes:

ret = pt.image_to_boxes(pil_img)

结果是一个字符串，其中每一行都是一个字符，并且它的位置(x1，y1，X2，y2)之间用空格隔开:

The result is a string where every line is a character and it's position (x1, y1, X2, y2) separated by spaces :

a 30 10 45 20
b 49 12 54 23

这篇关于如何使用python 3.x检测字符的位置的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！