def harris(im, d_value):
data_src = im.getdata()
xsize, ysize = im.size
data_res = []
now_pix = 0
last_pix_col = 0
last_pix_row = []
rows = Rows(data_src, 3, xsize)
win = Window(3)
while 1:
w = win.update(rows.update())
if win.is_enable():
break
for y in range(ysize):
for x in range(xsize):
if rows.frame_empty():
rows.create(data_src, 3, xsize)
pix_tblr = [w[0][1], w[2][1], w[1][2], w[1][0]]
pix_now = w[1][1]
diff_tblr = []
for pix in pix_tblr:
diff_tblr.append(abs(pix_now - pix))
pix_res = 0
for d_tb in diff_tblr[0:2]:
for d_lr in diff_tblr[2:4]:
if d_tb >= d_value and d_lr >= d_value:
pix_res = 1
data_res.append(pix_res)
w = win.update(rows.update())
return data_res
def harris(im, d_value):
data_src = im.getdata()
xsize, ysize = im.size
data_res = []
now_pix = 0
last_pix_col = 0
last_pix_row = []
rows = Rows(data_src, 3, xsize)
win = Window(3)
while 1:
w = win.update(rows.update())
if win.is_enable():
break
for y in range(ysize):
for x in range(xsize):
if rows.frame_empty():
rows.create(data_src, 3, xsize)
pix_tblr = [w[0][1], w[2][1], w[1][2], w[1][0]]
pix_now = w[1][1]
diff_tblr = []
for pix in pix_tblr:
diff_tblr.append(abs(pix_now - pix))
pix_res = 0
for d_tb in diff_tblr[0:2]:
for d_lr in diff_tblr[2:4]:
if d_tb >= d_value and d_lr >= d_value:
pix_res = 1
data_res.append(pix_res)
w = win.update(rows.update())
return data_res
def create(im, wsize, rank):
data_src = im.getdata()
xsize, ysize = im.size
data_res = []
rows = Rows(data_src, wsize, xsize)
win = Window(wsize)
while 1:
w = win.update(rows.update())
if win.is_enable():
break
for i in range(len(data_src)):
if rows.frame_empty():
rows.create(data_src, wsize, xsize)
data_res.append(rank_fitter(w, rank))
w = win.update(rows.update())
return data_res
def create(im, wsize, mask, mode):
data_src = im.getdata()
xsize, ysize = im.size
data_res = []
rows = Rows(data_src, wsize, xsize)
win = Window(wsize)
while 1:
win.update(rows.update())
if win.is_enable():
break
for y in range(ysize):
for x in range(xsize):
if rows.frame_empty():
rows.create(data_src, wsize, xsize)
w = win.update(rows.update())
data_res.append(erosion_dilation(w, mask, mode))
return data_res
def create(im, wsize, rank): data_src = im.getdata() xsize,ysize = im.size data_res = [] rows = Rows(data_src, wsize, xsize) win = Window(wsize) while 1: w = win.update(rows.update()) if win.is_enable(): break for i in range(len(data_src)): if rows.frame_empty(): rows.create(data_src, wsize, xsize) data_res.append(rank_fitter(w, rank)) w = win.update(rows.update()) return data_res
def create(im, wsize, mask, mode): data_src = im.getdata() xsize,ysize = im.size data_res = [] rows = Rows(data_src, wsize, xsize) win = Window(wsize) while 1: win.update(rows.update()) if win.is_enable(): break for y in range(ysize): for x in range(xsize): if rows.frame_empty(): rows.create(data_src, wsize, xsize) w = win.update(rows.update()) data_res.append(erosion_dilation(w, mask, mode)) return data_res
def iterate(self):
'''
this method creates iterative way of accessing rows data
'''
rows = Rows(self._rows)
return rows
