def capture(): import cv2 cap = cv2.VideoCapture(0) count = 0 while (True): ret, img = cap.read() gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) cv2.imshow("img", img) k = cv2.waitKey(30) & 0xFF if k == ord('q'): cv2.imwrite("C:/Users/pc1/Desktop/" + str(count) + "id.png", img) a = "C:/Users/pc1/Desktop/" + str(count) + "id.png" count = count + 1 #break elif k == 27: break cap.release() cv2.destroyAllWindows() import ocrspace api = ocrspace.API() api = ocrspace.API('enter your OCR-API', ocrspace.Language.Croatian) api.ocr_file(a) a = api.ocr_file(open(a, 'rb')) textvalue.set(a)
def __init__(self, image_adrs='', file_or_url=None): """ :param image_adrs: path to an image given by the user :param file_or_url: str of the type of the image_adrs -> URL or FILE """ self.api = ocrspace.API() self.file_or_url = file_or_url self.image_adrs = image_adrs self.txt_from_image = ''
class Battery(ImageModule): DESCRIPTION = "Is your battery sinfully low?" PERCENTAGE_RE = re.compile(r"(\d+) *%") api = ocrspace.API() def response(self, query, message): source_url = self.get_source_url(message) string = self.api.ocr_url(source_url) print("Image text: " + string) string = string.replace("0/0", "%") percentages = self.PERCENTAGE_RE.search(string).groups() if len(percentages) > 0: percentage = int(percentages[0]) if percentage > 50: return f"You good. ({percentage}%)" else: return f"CHARGE YA GOTDAMN PHONE ({percentage}%)" else: return "No percentage found."
def dataProcessing(url): ocrStuff = ocrspace.API(OCRKey, ocrspace.Language.English) rawData = ocrStuff.ocr_url(url).split('\r\n') FamilyNameIndex = [i for i, s in enumerate(rawData) if 'Family (C' in s][0] ActivityIndex = [i for i, s in enumerate(rawData) if 'Activity (?' in s][0] ParticipateIndex = [i for i, s in enumerate(rawData) if 'Participate' in s][0] myFamily = rawData[FamilyNameIndex + 1:ActivityIndex] myFamilyNamesOnly = [] for i in myFamily: myStr = i.split('(')[0].replace("(","") myStr = myStr.rstrip() myFamilyNamesOnly.append(myStr.replace(" ","_")) myParticipation = rawData[ParticipateIndex + 1:-1] result = dict(zip(myFamilyNamesOnly, myParticipation)) result = nameFixer(result) return result
import ocrspace api = ocrspace.API() print( api.ocr_url( 'https://images-na.ssl-images-amazon.com/images/I/71ovNJN1URL._SL1244_.jpg' )) print( api.ocr_url( 'https://upload.wikimedia.org/wikipedia/commons/thumb/f/ff/Solid_blue.svg/225px-Solid_blue.svg.png' ))
Created on Sun Aug 4 00:06:17 2019 @author: This is example code to extract chinese subtitles from images """ import ocrspace import time # limit of 500 number of times within 86400 # api = ocrspace.API() # Or if you have an API key or desired language, pass those: # ocrspace.Language.Croatian api = ocrspace.API('erasedApiKey', 'chs') filelist = [] myString = "" with open('file.txt', 'r') as f: for lin in f: filelist.append(lin.strip()) for imagefile in filelist: currentText = api.ocr_file(imagefile).rstrip().replace("\n", "") # if image has two lines of text then join them as one currentText = " ".join(currentText.splitlines()) # if unrecongizable text if currentText == "": currentText = 'no text here' time.sleep(4) with open("subtitle.txt", "a", encoding='utf-8') as resfile:
import ocrspace api = ocrspace.API() # Or if you have an API key or desired language, pass those: api = ocrspace.API(open('ocr.key').read(), ocrspace.Language.Croatian) # print(api.ocr_file('Capture.PNG')) print(api.ocr_file('handouts/BITS_F311_1332.pdf'))
from flask import * from flask_bootstrap import Bootstrap import ocrspace from adds import * import os API_KEY = '790b71df8188957' app = Flask(__name__) bootstrap = Bootstrap(app) UPLOAD_FOLDER = '/files' ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg'} app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER api = ocrspace.API(api_key=API_KEY, language=ocrspace.Language.Russian) def allowed_file(filename): return '.' in filename and \ filename.rsplit('.', 1)[1] in ALLOWED_EXTENSIONS @app.route('/') def index(): return render_template('index.html') @app.route('/work', methods=['GET', 'POST']) def work(): if request.method == 'POST': file = request.files['file'] if file and allowed_file(file.filename): fish = bool(request.form.getlist('fish'))
image = vision.Image() image.source.image_uri = uri response = client.text_detection(image=image) texts = response.text_annotations parsed_text = '' for text in texts: parsed_text = text.description break; if response.error.message: return response.error.message return parsed_text ocr_space_key = 'e40860ac2688957' api = ocrspace.API(ocr_space_key, ocrspace.Language.Croatian) def ocr_with_library(url): api.ocr_url(url) def ocr_space_url(url): payload = {'url': url, 'apikey': ocr_space_key, 'filetype': 'png' } r = requests.post('https://api.ocr.space/parse/image', data=payload, ) return r.content.decode() def processOCRQueue(queue_name):
# 2 - based on that capture, retrieve opp name, using OCR # 3 - then look for a match in the excel file # if any info is available, it text-to-speeches # it out (as the game finishes to load or has just started) ############################### #libraries import pandas as pd import pyscreenshot #library for screenshots import ocrspace #library for OCR, it is online, i got a free license from pynput import keyboard #library for keyboard events import pyttsx3 #library for text to speech ############################### #Constants OCR_API = ocrspace.API("d92462a6fd88957") #key to use API MY_OWN_NAME = "FREDOKUN" #my login OPP_COL_TITLE = "Opponent" #title containing the name #File with meta data OPP_FILE = 'M:/Installed Apps/blizz/Warcraft III/Opp-history.xlsx' DATA_WORKSHEET = 'Data' #data worksheet IM_BUFF = 'imBuff.png' #file generated with the screenshot STR_DELIMITER = '\n' #character in the returned string between player names NOT_ABLE_TO_READ = "not able to read image" ############################### #global counter #because of keyboard events bug pressAndReleaseCounter = 0 ###############################
if __name__ == "__main__": parser = argparse.ArgumentParser( description='Issue parking entrance permission.') parser.add_argument('pictures', metavar='<picture path>', type=str, nargs='+', help='Picture containing the car plate') parser.add_argument('-v', dest='verbose', action='store_const', const=True, default=False, help='add verbosity') args = parser.parse_args() logger = ParkingLogger(db_name=parking_db, collection_name=parking_log_collection) image_to_text_api = ocrspace.API(api_key=personal_user_api_key) for pic in args.pictures: car_plate = image_to_text_api.ocr_file(pic) if car_plate: issue_permission(logger, car_plate, verbose=args.verbose) else: logger.info(car_plate, False, reason="unable to extract the car plate", verbose=args.verbose)