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def setUp(self):
self.probs2 = imio.read_h5_stack(rundir+'/test-05-probabilities.h5')
self.probs1 = self.probs2[...,0]
self.wss1 = imio.read_h5_stack(rundir+'/test-05-watershed.h5')
self.f1, self.f2, self.f3 = features.moments.Manager(2, False), \
features.histogram.Manager(3,compute_percentiles=[0.5]), \
features.squiggliness.Manager(ndim=2)
self.f4 = features.base.Composite(children=[self.f1, self.f2, self.f3])
def setUp(self):
test_idxs = range(1,5)
self.num_tests = len(test_idxs)
pfns = [rundir+'/test-%02i-probabilities.h5'%i for i in test_idxs]
wsfns = [rundir+'/test-%02i-watershed.h5'%i for i in test_idxs]
self.probs = [imio.read_h5_stack(fn) for fn in pfns]
self.wss = [imio.read_h5_stack(fn) for fn in wsfns]
gtfns = [rundir+'/test-%02i-groundtruth.h5'%i for i in test_idxs]
self.results = [imio.read_h5_stack(fn) for fn in gtfns]
def trdata():
wstr = imio.read_h5_stack(os.path.join(dd, 'train-ws.lzf.h5'))
prtr = imio.read_h5_stack(os.path.join(dd, 'train-p1.lzf.h5'))
gttr = imio.read_h5_stack(os.path.join(dd, 'train-gt.lzf.h5'))
return wstr, prtr, gttr
def trdata():
wstr = imio.read_h5_stack(os.path.join(dd, 'train-ws.lzf.h5'))
prtr = imio.read_h5_stack(os.path.join(dd, 'train-p1.lzf.h5'))
gttr = imio.read_h5_stack(os.path.join(dd, 'train-gt.lzf.h5'))
return wstr, prtr, gttr
def tsdata():
wsts = imio.read_h5_stack(os.path.join(dd, 'test-ws.lzf.h5'))
prts = imio.read_h5_stack(os.path.join(dd, 'test-p1.lzf.h5'))
gtts = imio.read_h5_stack(os.path.join(dd, 'test-gt.lzf.h5'))
return wsts, prts, gtts
def tsdata():
wsts = imio.read_h5_stack(os.path.join(dd, 'test-ws.lzf.h5'))
prts = imio.read_h5_stack(os.path.join(dd, 'test-p1.lzf.h5'))
gtts = imio.read_h5_stack(os.path.join(dd, 'test-gt.lzf.h5'))
return wsts, prts, gtts
def trdata():
wstr = imio.read_h5_stack(os.path.join(dd, 'train-ws.lzf.h5'))
prtr = imio.read_h5_stack(os.path.join(dd, 'train-p1.lzf.h5'))
gttr = imio.read_h5_stack(os.path.join(dd, 'train-gt.lzf.h5'))
return wstr, prtr, gttr