PythonOpencv实战之文字检测OCR

import cv2
import pytesseract
import numpy as np
from PIL import ImageGrab
import time
 
 
pytesseract.pytesseract.tesseract_cmd = 'E:\PythonProject\GitHub\Tesseract-OCR\\tesseract.exe'
img = cv2.imread('1.png')
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
 
##############################################
##### Detecting Words  ######
##############################################
 #[   0          1           2           3           4          5         6       7       8        9        10       11 ]
 #['level', 'page_num', 'block_num', 'par_num', 'line_num', 'word_num', 'left', 'top', 'width', 'height', 'conf', 'text']
 boxes = pytesseract.image_to_data(img)
 for a,b in enumerate(boxes.splitlines()):
        print(b)
         if a!=0:
             b = b.split()
             if len(b)==12:
                 x,y,w,h = int(b[6]),int(b[7]),int(b[8]),int(b[9])
                 cv2.putText(img,b[11],(x,y-5),cv2.FONT_HERSHEY_SIMPLEX,1,(50,50,255),2)
                 cv2.rectangle(img, (x,y), (x+w, y+h), (50, 50, 255), 2)
 
cv2.imshow('img', img)
cv2.waiTKEy(0)

import cv2
import pytesseract
import numpy as np
from PIL import ImageGrab
import time
 
 
pytesseract.pytesseract.tesseract_cmd = 'E:\pythonProject\Github\Tesseract-OCR\\tesseract.exe'
img = cv2.imread('1.png')
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
 
##############################################
##### Detecting ONLY Digits  ######
##############################################
 hImg, wImg,_ = img.shape
 conf = r'--oem 3 --psm 6 outputbase digits'
 boxes = pytesseract.image_to_boxes(img,config=conf)
 for b in boxes.splitlines():
     print(b)
     b = b.split(' ')
     print(b)
     x, y, w, h = int(b[1]), int(b[2]), int(b[3]), int(b[4])
     cv2.rectangle(img, (x,hImg- y), (w,hImg- h), (50, 50, 255), 2)
     cv2.putText(img,b[0],(x,hImg- y+25),cv2.FONT_HERSHEY_SIMPLEX,1,(50,50,255),2)
 
cv2.imshow('img', img)
cv2.waitKey(0)

import cv2
import pytesseract
import numpy as np
from PIL import ImageGrab
import time
 
pytesseract.pytesseract.tesseract_cmd = 'E:\pythonProject\Github\Tesseract-OCR\\tesseract.exe'
img = cv2.imread('1.png')
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
cap = cv2.VideoCapture(0)
cap.set(3,640)
cap.set(4,480)
def captureScreen(bbox=(300,300,1500,1000)):
    capScr = np.array(ImageGrab.grab(bbox))
    capScr = cv2.cvtColor(capScr, cv2.COLOR_RGB2BGR)
    return capScr
while True:
    timer = cv2.getTickCount()
    _,img = cap.read()
    #img = captureScreen()
    #DETECTING CHARACTERES
    hImg, wImg,_ = img.shape
    boxes = pytesseract.image_to_boxes(img)
    for b in boxes.splitlines():
        #print(b)
        b = b.split(' ')
        #print(b)
        x, y, w, h = int(b[1]), int(b[2]), int(b[3]), int(b[4])
        cv2.rectangle(img, (x,hImg- y), (w,hImg- h), (50, 50, 255), 2)
        cv2.putText(img,b[0],(x,hImg- y+25),cv2.FONT_HERSHEY_SIMPLEX,1,(50,50,255),2)
    fps = cv2.getTickFrequency() / (cv2.getTickCount() - timer);
    #cv2.putText(img, str(int(fps)), (75, 40), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (20,230,20), 2);
    cv2.imshow("Result",img)
    cv2.waitKey(1)
 
 
cv2.imshow('img', img)
cv2.waitKey(0)