HYTOS

import http.client

import urllib

import base64

import json

import cv2

import numpy as np

import matplotlib.pyplot as plt

import matplotlib.image as mpimg

from PIL import Image

from io import BytesIO

import pytesseract

CONST_IMG_PID_UY1_K_300DPI = "res/UY1-K-2000_P1_300dpi.png"

src = []

resized = []

croppedSrc = []

eventSp = (-1, -1)

eventEp = (-1, -1)

cropping = False

resizeFactor = 0.15

def cropSrc(event, x, y, flags, param):

    global src

    global resized, croppedSrc

    global eventSp, cropping

    global resizeFactor

    if event == cv2.EVENT_LBUTTONDOWN:

        eventSp = (-1, -1)

        eventEp = (-1, -1)

        eventSp = (x, y)

        cropping = True

    elif event == cv2.EVENT_LBUTTONUP:

        eventEp = (x, y)

        cropping = False

        realSrcEventSp = (int(eventSp[0]/resizeFactor), int(eventSp[1]/resizeFactor))

        realSrcEventEp = (int(eventEp[0]/resizeFactor), int(eventEp[1]/resizeFactor))

        croppedSrc = src[realSrcEventSp[1]:realSrcEventEp[1], realSrcEventSp[0]:realSrcEventEp[0]]

        kernel = np.ones((2, 2), np.uint8)

        croppedSrc = cv2.dilate(croppedSrc, kernel)

        im = Image.fromarray(croppedSrc)

        #ocrData = pytesseract.image_to_data(im, config='-psm 10')

        #ocrData = pytesseract.image_to_string(im, config='-psm 10')

        ocrData = pytesseract.image_to_boxes(im, config='-c tessedit_char_whitelist="-0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" -psm 6')

        #ocrData = pytesseract.image_to_data(im, config='-c tessedit_char_whitelist=0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz -psm 6')

        #ocrData = pytesseract.image_to_string(im, config = "hocr")

        print("tesseract result : \n" + ocrData)

        #### For image_to_data()

        #if ocrData:

        #    splitOcrData = ocrData.split('\n')

        #    size = len(splitOcrData)

        #    i = 1

        #    while i < size:

        #        data = splitOcrData[i]

        #        sData = data.split('\t')

        #        if len(sData) == 12:

        #            text = sData[11]

        #            tx = int(sData[6]) // 2

        #            ty = int(sData[7]) // 2

        #            tw = int(sData[8]) // 2

        #            th = int(sData[9]) // 2

        #            #realSp = (symbolSp[0]+tx, symbolSp[1]+ty)

        #            #cv2.putText(canvas, text, (realSp[0], realSp[1]+th), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 3)

        #        i = i+1

        ## For image_to_boxes()

        if ocrData:

            splitOcrData = ocrData.split('\n')

            for data in splitOcrData:

                sData = data.split(' ')

                text = sData[0]

                tx = int(sData[1])

                ty = int(sData[2])

                tex = int(sData[3])

                tey = int(sData[4])

                tw = tex - tx

                th = tey - ty

                #realSp = (symbolSp[0]+tx, symbolSp[1]+ty)

                #cv2.putText(canvas, text, (realSp[0], realSp[1]+th), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 3)

        cv2.imshow('cropped', croppedSrc)

        cv2.waitKey(0)

def main():

    global src

    global resized, resizeFactor

    print('main')

    src = cv2.imread(CONST_IMG_PID_UY1_K_300DPI)

    resized = cv2.resize(src, None, fx=resizeFactor, fy=resizeFactor)

    cv2.namedWindow('main')

    cv2.setMouseCallback('main', cropSrc)

    cv2.imshow('main', resized)

    cv2.waitKey(0)

main()