print float(count) / len(descriptor)
# if 50% of the poins matches, write in the bill
if float(count) / len(descriptor) >= 0.5:
# cv2.putText(img,">>BIG BOX<<", (int(x),int(y)), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255))
cv2.putText(frame, ">>" + bill_name + "<<", bill_center, cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255))
# SURF extraction
surf = cv2.xfeatures2d.SURF_create()
surf.setHessianThreshold(500)
print "opening templates images..."
# get the templates
# FRONT
temp_002_front = glib.readGrayImage("files/template/front/02.jpg")
temp_005_front = glib.readGrayImage("files/template/front/05.jpg")
temp_010_front = glib.readGrayImage("files/template/front/10.jpg")
temp_020_front = glib.readGrayImage("files/template/front/20.jpg")
temp_050_front = glib.readGrayImage("files/template/front/50.jpg")
temp_100_front = glib.readGrayImage("files/template/front/100.jpg")
# BACK
temp_002_back = glib.readGrayImage("files/template/back/02.jpg")
temp_005_back = glib.readGrayImage("files/template/back/05.jpg")
temp_010_back = glib.readGrayImage("files/template/back/10.jpg")
temp_020_back = glib.readGrayImage("files/template/back/20.jpg")
temp_050_back = glib.readGrayImage("files/template/back/50.jpg")
temp_100_back = glib.readGrayImage("files/template/back/100.jpg")
# get keypoints and descriptors for each template
# FRONT
# if 50% of the poins matches, write in the bill
if float(count) / len(descriptor) >= 0.5:
# cv2.putText(img,">>BIG BOX<<", (int(x),int(y)), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255))
cv2.putText(frame, ">>" + bill_name + "<<", bill_center,
cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255))
# SURF extraction
surf = cv2.xfeatures2d.SURF_create()
surf.setHessianThreshold(500)
print "opening templates images..."
# get the templates
# FRONT
temp_002_front = glib.readGrayImage("files/template/front/02.jpg")
temp_005_front = glib.readGrayImage("files/template/front/05.jpg")
temp_010_front = glib.readGrayImage("files/template/front/10.jpg")
temp_020_front = glib.readGrayImage("files/template/front/20.jpg")
temp_050_front = glib.readGrayImage("files/template/front/50.jpg")
temp_100_front = glib.readGrayImage("files/template/front/100.jpg")
# BACK
temp_002_back = glib.readGrayImage("files/template/back/02.jpg")
temp_005_back = glib.readGrayImage("files/template/back/05.jpg")
temp_010_back = glib.readGrayImage("files/template/back/10.jpg")
temp_020_back = glib.readGrayImage("files/template/back/20.jpg")
temp_050_back = glib.readGrayImage("files/template/back/50.jpg")
temp_100_back = glib.readGrayImage("files/template/back/100.jpg")
# get keypoints and descriptors for each template
# FRONT
#!/usr/bin/env python
from lib import glib
# sebir http://www.g7smy.co.uk/?p=366
# open the image in gray scale
img_gray = glib.readGrayImage("files/bills/20_02.jpg")
# convert img to binary mode, black or white
img_bnry = glib.binarize(img_gray)
glib.display_image('binary',img_bnry)
# get the templates
# get keypoints and descriptors for each template
# start the video capture
# for each frame,
# try to match the templates
# if one of them matches,
# show results, go next frame or next template?
#
#!/usr/bin/env python
from lib import glib
# sebir http://www.g7smy.co.uk/?p=366
# open the image in gray scale
img_gray = glib.readGrayImage("files/bills/20_02.jpg")
# convert img to binary mode, black or white
img_bnry = glib.binarize(img_gray)
glib.display_image("binary", img_bnry)
# get the templates
# get keypoints and descriptors for each template
# start the video capture
# for each frame,
# try to match the templates
# if one of them matches,
# show results, go next frame or next template?
#
