mirror of https://github.com/opencv/opencv.git
Merge pull request #16795 from jshiwam:qrsample
Added a sample file for qrcode detection in python * sample python file for qrcode detection added in samples/python * input taken using argparse and the indents were removed * Removed unused variables * updated the format and removed unused variables Removed the use of global variables and used parameterised contructor instead =set multi detection true by default * added detection from camera * samples(python): coding style in qrcode.pypull/17102/head
jshiwam
5 years ago
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GitHub
parent
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1 changed files with 248 additions and 0 deletions
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#!/usr/bin/env python |
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''' |
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This program detects the QR-codes using OpenCV Library. |
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Usage: |
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qrcode.py |
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''' |
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# Python 2/3 compatibility |
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from __future__ import print_function |
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import numpy as np |
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import cv2 as cv |
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import argparse |
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import sys |
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PY3 = sys.version_info[0] == 3 |
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if PY3: |
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xrange = range |
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class QrSample: |
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def __init__(self, args): |
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self.fname = '' |
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self.fext = '' |
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self.fsaveid = 0 |
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self.input = args.input |
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self.detect = args.detect |
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self.out = args.out |
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self.multi = args.multi |
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self.saveDetections = args.save_detections |
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self.saveAll = args.save_all |
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def getQRModeString(self): |
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msg1 = "multi " if self.multi else "" |
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msg2 = "detector" if self.detect else "decoder" |
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msg = "QR {:s}{:s}".format(msg1, msg2) |
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return msg |
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def drawFPS(self, result, fps): |
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message = '{:.2f} FPS({:s})'.format(fps, self.getQRModeString()) |
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cv.putText(result, message, (20, 20), 1, |
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cv.FONT_HERSHEY_DUPLEX, (0, 0, 255)) |
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def drawQRCodeContours(self, image, cnt): |
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if cnt.size != 0: |
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rows, cols, _ = image.shape |
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show_radius = 2.813 * ((rows / cols) if rows > cols else (cols / rows)) |
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contour_radius = show_radius * 0.4 |
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cv.drawContours(image, [cnt], 0, (0, 255, 0), int(round(contour_radius))) |
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tpl = cnt.reshape((-1, 2)) |
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for x in tuple(tpl.tolist()): |
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color = (255, 0, 0) |
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cv.circle(image, tuple(x), int(round(contour_radius)), color, -1) |
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def drawQRCodeResults(self, result, points, decode_info, fps): |
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n = len(points) |
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if isinstance(decode_info, str): |
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decode_info = [decode_info] |
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if n > 0: |
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for i in range(n): |
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cnt = np.array(points[i]).reshape((-1, 1, 2)).astype(np.int32) |
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self.drawQRCodeContours(result, cnt) |
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msg = 'QR[{:d}]@{} : '.format(i, *(cnt.reshape(1, -1).tolist())) |
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print(msg, end="") |
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if len(decode_info) > i: |
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if decode_info[i]: |
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print("'", decode_info[i], "'") |
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else: |
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print("Can't decode QR code") |
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else: |
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print("Decode information is not available (disabled)") |
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else: |
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print("QRCode not detected!") |
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self.drawFPS(result, fps) |
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def runQR(self, qrCode, inputimg): |
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if not self.multi: |
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if not self.detect: |
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decode_info, points, _ = qrCode.detectAndDecode(inputimg) |
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dec_info = decode_info |
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else: |
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_, points = qrCode.detect(inputimg) |
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dec_info = [] |
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else: |
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if not self.detect: |
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_, decode_info, points, _ = qrCode.detectAndDecodeMulti( |
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inputimg) |
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dec_info = decode_info |
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else: |
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_, points = qrCode.detectMulti(inputimg) |
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dec_info = [] |
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if points is None: |
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points = [] |
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return points, dec_info |
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def DetectQRFrmImage(self, inputfile): |
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inputimg = cv.imread(inputfile, cv.IMREAD_COLOR) |
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if inputimg is None: |
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print('ERROR: Can not read image: {}'.format(inputfile)) |
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return |
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print('Run {:s} on image [{:d}x{:d}]'.format( |
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self.getQRModeString(), inputimg.shape[1], inputimg.shape[0])) |
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qrCode = cv.QRCodeDetector() |
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count = 10 |
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timer = cv.TickMeter() |
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for _ in range(count): |
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timer.start() |
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points, decode_info = self.runQR(qrCode, inputimg) |
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timer.stop() |
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fps = count / timer.getTimeSec() |
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print('FPS: {}'.format(fps)) |
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result = inputimg |
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self.drawQRCodeResults(result, points, decode_info, fps) |
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cv.imshow("QR", result) |
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cv.waitKey(1) |
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if self.out != '': |
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outfile = self.fname + self.fext |
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print("Saving Result: {}".format(outfile)) |
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cv.imwrite(outfile, result) |
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print("Press any key to exit ...") |
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cv.waitKey(0) |
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print("Exit") |
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def processQRCodeDetection(self, qrcode, frame): |
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if len(frame.shape) == 2: |
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result = cv.cvtColor(frame, cv.COLOR_GRAY2BGR) |
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else: |
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result = frame |
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print('Run {:s} on video frame [{:d}x{:d}]'.format( |
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self.getQRModeString(), frame.shape[1], frame.shape[0])) |
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timer = cv.TickMeter() |
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timer.start() |
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points, decode_info = self.runQR(qrcode, frame) |
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timer.stop() |
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fps = 1 / timer.getTimeSec() |
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self.drawQRCodeResults(result, points, decode_info, fps) |
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return fps, result, points |
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def DetectQRFrmCamera(self): |
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cap = cv.VideoCapture(0) |
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if not cap.isOpened(): |
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print("Cannot open the camera") |
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return |
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print("Press 'm' to switch between detectAndDecode and detectAndDecodeMulti") |
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print("Press 'd' to switch between decoder and detector") |
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print("Press ' ' (space) to save result into images") |
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print("Press 'ESC' to exit") |
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qrcode = cv.QRCodeDetector() |
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while True: |
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ret, frame = cap.read() |
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if not ret: |
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print("End of video stream") |
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break |
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forcesave = self.saveAll |
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result = frame |
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try: |
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fps, result, corners = self.processQRCodeDetection(qrcode, frame) |
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print('FPS: {:.2f}'.format(fps)) |
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forcesave |= self.saveDetections and (len(corners) != 0) |
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except cv.error as e: |
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print("Error exception: ", e) |
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forcesave = True |
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cv.imshow("QR code", result) |
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code = cv.waitKey(1) |
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if code < 0 and (not forcesave): |
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continue |
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if code == ord(' ') or forcesave: |
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fsuffix = '-{:05d}'.format(self.fsaveid) |
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self.fsaveid += 1 |
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fname_in = self.fname + fsuffix + "_input.png" |
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print("Saving QR code detection result: '{}' ...".format(fname_in)) |
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cv.imwrite(fname_in, frame) |
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print("Saved") |
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if code == ord('m'): |
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self.multi = not self.multi |
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msg = 'Switching QR code mode ==> {:s}'.format( |
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"detectAndDecodeMulti" if self.multi else "detectAndDecode") |
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print(msg) |
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if code == ord('d'): |
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self.detect = not self.detect |
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msg = 'Switching QR code mode ==> {:s}'.format( |
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"detect" if self.detect else "decode") |
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print(msg) |
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if code == 27: |
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print("'ESC' is pressed. Exiting...") |
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break |
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print("Exit.") |
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def main(): |
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parser = argparse.ArgumentParser( |
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description='This program detects the QR-codes input images using OpenCV Library.') |
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parser.add_argument( |
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'-i', |
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'--input', |
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help="input image path (for example, 'opencv_extra/testdata/cv/qrcode/multiple/*_qrcodes.png)", |
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default="", |
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metavar="") |
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parser.add_argument( |
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'-d', |
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'--detect', |
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help="detect QR code only (skip decoding) (default: False)", |
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action='store_true') |
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parser.add_argument( |
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'-m', |
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'--multi', |
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help="enable multiple qr-codes detection", |
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action='store_true') |
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parser.add_argument( |
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'-o', |
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'--out', |
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help="path to result file (default: qr_code.png)", |
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default="qr_code.png", |
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metavar="") |
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parser.add_argument( |
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'--save_detections', |
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help="save all QR detections (video mode only)", |
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action='store_true') |
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parser.add_argument( |
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'--save_all', |
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help="save all processed frames (video mode only)", |
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action='store_true') |
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args = parser.parse_args() |
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qrinst = QrSample(args) |
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if args.out != '': |
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index = args.out.rfind('.') |
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if index != -1: |
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qrinst.fname = args.out[:index] |
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qrinst.fext = args.out[index:] |
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else: |
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qrinst.fname = args.out |
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qrinst.fext = ".png" |
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if args.input != '': |
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qrinst.DetectQRFrmImage(args.input) |
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else: |
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qrinst.DetectQRFrmCamera() |
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if __name__ == '__main__': |
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main() |
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