def run(self, para=None):
try:
response = urlopen('http://imagej.net/images/' + self.name)
stream = StringIO(response.read())
img = imread(stream)
IPy.show_img([img], self.title)
except Exception as e:
IPy.write('Open url failed!\tErrof:%s' % sys.exc_info()[1])
def run(self, ips, snap, img, para):
detector = CVSURF(hessianThreshold=para['thr'],
nOctaves=para['oct'],
nOctaveLayers=para['int'],
upright=para['upright'],
extended=para['ext'])
kps = detector.detect(img)
ips.surf_keypoint = kps
ips.mark = FeatMark(kps)
IPy.write("Detect completed, {} points found!".format(len(kps)),
'Surf')
def run(self, para=None):
try:
fp, fn = os.path.split(para['url'])
fn, fe = os.path.splitext(fn)
response = urlopen(para['url'])
## TODO: Fixme!
stream = StringIO(response.read())
img = imread(stream)
IPy.show_img([img], fn)
except Exception as e:
IPy.write('Open url failed!\tErrof:%s' % sys.exc_info()[1])
def run(self, ips, imgs, para = None):
nodes = nx.shortest_path(ips.data, source=para['start'], target=para['end'], weight='weight')
path = zip(nodes[:-1], nodes[1:])
paths = []
for s,e in path:
ps = ips.data[s][e].values()
pts = sorted([(i['weight'], i['pts']) for i in ps])
paths.append(((s,e), pts[0]))
sknw.draw_graph(ips.img, ips.data)
for i in paths:
ips.img[i[1][1][:,0], i[1][1][:,1]] = 255
IPy.write('%s-%s:%.4f'%(i[0][0], i[0][1], i[1][0]), 'ShortestPath')
IPy.write('Nodes:%s, Length:%.4f'%(len(nodes), sum([i[1][0] for i in paths])), 'ShortestPath')
def log(self, pts1, pts2, msk, v, dim):
sb = []
sb.append('Image1:{} points detected!'.format(len(pts1)))
sb.append('Image2:{} points detected!\r\n'.format(len(pts2)))
sb.append('Matched Point:{0}/{1}\r\n'.format(msk.sum(), len(msk)))
if dim == 0: return
sb.append('Transformation:')
sb.append('%15.4f%15.4f%15.4f' % tuple(v.A1[:3]))
sb.append('%15.4f%15.4f%15.4f' % tuple(v.A1[3:6]))
row = [0, 0, 1] if dim == 6 else list(v[-2:]) + [1]
sb.append('%15.4f%15.4f%15.4f' % tuple(row))
cont = '\n'.join(sb)
IPy.write(cont, 'Surf')
def log(self, pts1, pts2, msk, v, dim):
sb = []
sb.append('Image1:{} points detected!'.format(len(pts1)))
sb.append('Image2:{} points detected!\r\n'.format(len(pts2)))
sb.append('Matched Point:{0}/{1}\r\n'.format(msk.sum(), len(msk)))
if dim == 0: return
sb.append('Transformation:')
for i in range(6):
sb.append("{0:15.4}".format(v.A1[i]))
row = [0, 0, 1] if dim == 6 else list(v[-2:]) + [1]
for i in range(3):
sb.append("{0:15.4}".format(row[i]))
cont = '\n'.join(sb)
IPy.write(cont, 'Surf')
