def f(image_source):
if config.intersected_features:
r = extract_intersected_features(image_source, targets, config)
else:
r = features.extract_features(image_source, targets,
config.n_subchunks, config.patchsize)
return r
def f(image_source):
r_t = features.extract_features(image_source, targets, n_subchunks=1,
patchsize=config.patchsize)
r_a = features.extract_subchunks(image_source, subchunk_index=0,
n_subchunks=1,
patchsize=config.patchsize)
if frac < 1.0:
np.random.seed(1)
r_a = r_a[np.random.rand(r_a.shape[0]) < frac]
r_data = np.concatenate([r_t.data, r_a.data], axis=0)
r_mask = np.concatenate([r_t.mask, r_a.mask], axis=0)
r = np.ma.masked_array(data=r_data, mask=r_mask)
return r
def f(image_source):
r = features.extract_features(image_source, targets,
config.n_subchunks, config.patchsize)
return r