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264 lines
8.6 KiB
Python
264 lines
8.6 KiB
Python
#!/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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self.arucoBased = args.aruco_based
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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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if self.arucoBased:
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qrCode = cv.QRCodeDetectorAruco()
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else:
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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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if self.arucoBased:
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qrcode = cv.QRCodeDetectorAruco()
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else:
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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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'--aruco_based',
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help="use aruco-based detector",
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action='store_true')
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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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print(__doc__)
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main()
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cv.destroyAllWindows()
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