def detectresol(img):
typ, val = passzbar.passzbar(img)
if typ:
x, y = val.decode('ascii').strip().split(',')
xlst = x.split(':')
ylst = y.split(':')
return [list(map(int, xlst)), list(map(int, ylst))]
else:
#raise RuntimeError("QR Code cannot be detected")
return None
def detectresol(img):
typ, val = passzbar.passzbar(img)
if typ:
x, y = val.decode('ascii').strip().split(',')
xlst = x.split(':')
ylst = y.split(':')
return [list(map(int, xlst)), list(map(int, ylst))]
else:
#raise RuntimeError("QR Code cannot be detected")
return None
def getcroppedarea(img, markersize):
#use template matching to detect area to be cropped
grayimg = getgrayimage(img)
# detect top-left marker using template matching
marker_tl = cv2.resize(MARKER_TL, (markersize, markersize))
matched = cv2.matchTemplate(grayimg, marker_tl,
cv2.TM_CCORR_NORMED) #returns float32
(minval, maxval, minloc, maxloc) = cv2.minMaxLoc(matched)
mkrect = getmarkerboundingrect(grayimg, maxloc, markersize)
pos_tl = (mkrect.x + mkrect.w, mkrect.y + mkrect.h)
#pos_tl = (maxloc[0]+markersize, maxloc[1]+markersize)
# detect bottom-right marker using template matching
marker_br = cv2.resize(MARKER_BR, (markersize, markersize))
matched = cv2.matchTemplate(grayimg, marker_br,
cv2.TM_CCORR_NORMED) #returns float32
(minval, maxval, minloc, maxloc) = cv2.minMaxLoc(matched)
mkrect = getmarkerboundingrect(grayimg, maxloc, markersize)
pos_br = (mkrect.x, mkrect.y)
#pos_br = maxloc
#detect QR code
qrarea = img[pos_br[1]:, :img.shape[0] - pos_br[1]]
typ, val = passzbar.passzbar(qrarea)
if not typ:
return None, None
strval = val.decode('ascii').strip()
#print(strval)
#cv2.circle(img, pos_tl, 5, (255, 0, 0), -1)
#cv2.circle(img, pos_br, 5, (0, 255, 0), -1)
#print(pos_tl, pos_br
#cv2.imshow("hoge", img)
#cv2.imshow("hoge", img[pos_tl[1]:pos_br[1], pos_tl[0]:pos_br[0]])
# crop and return detected area
return strval, img[pos_tl[1]:pos_br[1], pos_tl[0]:pos_br[0]]
def getcroppedarea(img, markersize):
#use template matching to detect area to be cropped
grayimg = getgrayimage(img)
# detect top-left marker using template matching
marker_tl = cv2.resize(MARKER_TL, (markersize, markersize))
matched = cv2.matchTemplate(grayimg, marker_tl, cv2.TM_CCORR_NORMED) #returns float32
(minval, maxval, minloc, maxloc) = cv2.minMaxLoc(matched)
mkrect = getmarkerboundingrect(grayimg, maxloc, markersize)
pos_tl = (mkrect.x+mkrect.w, mkrect.y+mkrect.h)
#pos_tl = (maxloc[0]+markersize, maxloc[1]+markersize)
# detect bottom-right marker using template matching
marker_br = cv2.resize(MARKER_BR, (markersize, markersize))
matched = cv2.matchTemplate(grayimg, marker_br, cv2.TM_CCORR_NORMED) #returns float32
(minval, maxval, minloc, maxloc) = cv2.minMaxLoc(matched)
mkrect = getmarkerboundingrect(grayimg, maxloc, markersize)
pos_br = (mkrect.x, mkrect.y)
#pos_br = maxloc
#detect QR code
qrarea = img[pos_br[1]:,:img.shape[0]-pos_br[1]]
typ, val = passzbar.passzbar(qrarea)
if not typ:
return None, None
strval = val.decode('ascii').strip()
#print(strval)
#cv2.circle(img, pos_tl, 5, (255, 0, 0), -1)
#cv2.circle(img, pos_br, 5, (0, 255, 0), -1)
#print(pos_tl, pos_br
#cv2.imshow("hoge", img)
#cv2.imshow("hoge", img[pos_tl[1]:pos_br[1], pos_tl[0]:pos_br[0]])
# crop and return detected area
return strval, img[pos_tl[1]:pos_br[1], pos_tl[0]:pos_br[0]]
