def mouse_down(self, ips, x, y, btn, **key):
lim = 5.0 / key['canvas'].get_scale()
if btn == 1 or btn == 3:
if ips.roi != None:
self.curobj = ips.roi.pick(x, y, lim)
if not self.curobj in (None, True): return
if ips.roi == None:
msk = floodfill(ips.img, x, y, self.para['tor'],
self.para['con'] == '8-connect')
conts = find_contours(msk, 0, 'high')
ips.roi = shape2roi(polygonize(conts, btn == 3))
elif hasattr(ips.roi, 'topolygon'):
shp = roi2shape(ips.roi.topolygon())
oper = ''
if key['shift']: oper = '+'
elif key['ctrl']: oper = '-'
elif self.curobj: return
else: ips.roi = None
msk = floodfill(ips.img, x, y, self.para['tor'],
self.para['con'] == '8-connect')
conts = find_contours(msk, 0, 'high')
cur = polygonize(conts, btn == 3)
if oper == '+':
ips.roi = shape2roi(shp.union(cur))
elif oper == '-':
ips.roi = shape2roi(shp.difference(cur))
else:
ips.roi = shape2roi(cur)
else:
ips.roi = None
ips.update()
def run(self, ips, imgs, para = None):
shp = convert.roi2shape(ips.roi)
m = ips.img.mat
m = [m[0,1], 0, 0, m[1,2], m[0,0], m[1,0]]
shp = affine_transform(shp, m)
shp = affine_transform(shp, [0,1,1,0,0,0])
gdf = gpd.GeoDataFrame([[shp]], columns=['geometry'], crs=ips.img.crs)
gdf.to_file(para['path'])
def mouse_down(self, ips, x, y, btn, **key):
lim = 5.0/key['canvas'].get_scale()
if btn==1 or btn==3:
if ips.roi!= None:
self.curobj = ips.roi.pick(x, y, ips.cur, lim)
ips.roi.info(ips, self.curobj)
if not self.curobj in (None,True):return
if ips.roi == None:
connectivity=(self.para['con']=='8-connect')+1
img = ips.img.reshape((ips.img.shape+(1,))[:3])
msk = np.ones(img.shape[:2], dtype=np.bool)
for i in range(img.shape[2]):
msk &= flood(img[:,:,i], (int(y),int(x)),
connectivity=connectivity, tolerance=self.para['tor'])
conts = find_contours(msk, 0, 'high')
ips.roi = shape2roi(polygonize(conts, btn==3))
elif hasattr(ips.roi, 'topolygon'):
shp = roi2shape(ips.roi.topolygon())
oper = ''
if key['shift']: oper = '+'
elif key['ctrl']: oper = '-'
elif self.curobj: return
else: ips.roi=None
connectivity=(self.para['con']=='8-connect')+1
img = ips.img.reshape((ips.img.shape+(1,))[:3])
msk = np.ones(img.shape[:2], dtype=np.bool)
for i in range(img.shape[2]):
msk &= flood(img[:,:,i], (int(y),int(x)),
connectivity=connectivity, tolerance=self.para['tor'])
conts = find_contours(msk, 0, 'high')
cur = polygonize(conts, btn==3)
if oper == '+':
ips.roi = shape2roi(shp.union(cur))
elif oper == '-':
ips.roi = shape2roi(shp.difference(cur))
else: ips.roi = shape2roi(cur)
else: ips.roi = None
ips.update()