class ORBDetector(Detector):
def __init__(self):
Detector.__init__(self)
self.ORB = ORB_create()
def __repr__(self):
return "ORBDetector(ORB={ORB})".format(ORB=self.ORB)
def detect(self, image):
keypoints = self.ORB.detect(image.cv_image, None)
keypoints, descriptors = self.ORB.compute(image.cv_image, keypoints)
return keypoints, descriptors
class OrbFeature2D:
def __init__(self, num_features=2000, scale_factor=1.2, num_levels=8):
print('Using Orb Feature 2D')
self.orb_extractor = ORB_create(num_features, scale_factor, num_levels)
# extract keypoints
def detect(self, img):
# detect
kps_tuples = self.orb_extractor.detect(img)
# convert keypoints
kps = [cv2.KeyPoint(*kp) for kp in kps_tuples]
return kps
def detectAndCompute(self, img):
#detect and compute
kps, des = self.orb_extractor.detectAndCompute(img, None)
return kps, des
#frame = cv.resize(frame, (320, 480)) features = fast.detect(frame, None) #split channels Ch0 = frame[:,:, 0] Ch1 = frame[:,:, 1] Ch2 = frame[:,:, 2] if len(features) < 1: #average frames intCh0 = np.mean(Ch0) intCh1 = np.mean(Ch1) intCh2 = np.mean(Ch2) else: intCh0 = len(fast.detect(Ch0, None)) intCh1 = len(orb.detect(Ch1, None)) intCh2 = len(blob.detect(Ch2, None)) #initialise seed # R G B intSeed = int(intCh0) << 32 | int(intCh1) << 16 | int(intCh2) << 0 letter = 32 + ((intSeed%126) - 32) #print(letter) #add letter to array strPassword += str(chr(letter)) waitKey(1) arryPlotX[letter] += 1 arryFastStdDev[intCount] = intCh0
def FeatureCrypt(intLength=32, intCamLoc=0):
#imports
try:
import numpy as np
from datetime import datetime
from cv2 import (FastFeatureDetector_create, ORB_create,
SimpleBlobDetector_create, VideoCapture, waitKey,
destroyAllWindows, CAP_DSHOW)
except:
print("Imports failed")
#camera setup
try:
cam = VideoCapture(intCamLoc, CAP_DSHOW)
except:
cam = "Camera setup failed"
intCount = 0
intPwdLength = intLength
strPassword = ""
fast = FastFeatureDetector_create()
orb = ORB_create()
blob = SimpleBlobDetector_create()
print(datetime.now())
for intCount in range(0, intPwdLength):
#collect frame
ret, frame = cam.read()
#frame = cv.resize(frame, (320, 480))
features = fast.detect(frame, None)
#split channels
Ch0 = frame[:, :, 0]
Ch1 = frame[:, :, 1]
Ch2 = frame[:, :, 2]
#ensure not null or empty
if len(features) < 1:
#average frames
intCh0 = np.mean(Ch0)
intCh1 = np.mean(Ch1)
intCh2 = np.mean(Ch2)
else:
intCh0 = len(fast.detect(Ch0, None))
intCh1 = len(orb.detect(Ch1, None))
intCh2 = len(blob.detect(Ch2, None))
#initialise seed
# R G B
intSeed = int(intCh0) << 32 | int(intCh1) << 16 | int(intCh2) << 0
letter = 32 + ((intSeed % 126) - 32)
#add letter to array
strPassword += str(chr(letter))
waitKey(1)
cam.release()
destroyAllWindows()
return strPassword
