def write_report_files(report, basename):
# TODO: hdf output
filename = basename + ".html"
dirname = os.path.dirname(filename)
if not os.path.exists(dirname):
os.makedirs(dirname)
logger.info("Writing to %r." % filename)
report.to_html(filename, write_pickle=True)
def write_report_files(report, basename):
# TODO: hdf output
filename = basename + '.html'
dirname = os.path.dirname(filename)
if not os.path.exists(dirname):
os.makedirs(dirname)
logger.info('Writing to %r.' % filename)
report.to_html(filename, write_pickle=True)
def DDSFromSymbolic(resolution, symdiffeosystem): # @UnusedVariable
"""
Creates a DiffeoSystem from synthetic diffeomorphisms.
"""
diffeo2s_config = get_diffeo2s_config()
diffeo2dds_config = get_diffeo2dds_config()
_, symdds = diffeo2dds_config.symdds.instance_smarter(symdiffeosystem)
logger.info('Creating symbolic diffeomorphism (resolution = %d)' %
resolution)
diffeoactions = []
for _, action in enumerate(symdds.actions):
id_diffeo, diffeo = parse_diffeo_spec(diffeo2s_config,
action['diffeo'])
label = action.get('label', id_diffeo)
original_cmd = np.array(action['original_cmd'])
logger.info('Getting symbolic diffeomorphism %r' % id_diffeo)
shape = (resolution, resolution)
viewport = SquareDomain([[-1, +1], [-1, +1]])
manifold = diffeo.get_topology()
D, Dinfo = diffeo_from_function_viewport(diffeo, manifold, viewport,
shape)
D2d = Diffeomorphism2D(D, Dinfo)
diffeo_inv = diffeo.get_inverse()
D_inv, Dinfo_inv = \
diffeo_from_function_viewport(diffeo_inv, manifold, viewport, shape)
D2d_inv = Diffeomorphism2D(D_inv, Dinfo_inv)
action = DiffeoAction(label=label,
diffeo=D2d,
diffeo_inv=D2d_inv,
original_cmd=original_cmd)
diffeoactions.append(action)
dds = DiffeoSystem('unnamed', actions=diffeoactions)
return dds
def DDSFromSymbolic(resolution, symdiffeosystem): # @UnusedVariable
"""
Creates a DiffeoSystem from synthetic diffeomorphisms.
"""
diffeo2s_config = get_diffeo2s_config()
diffeo2dds_config = get_diffeo2dds_config()
_, symdds = diffeo2dds_config.symdds.instance_smarter(symdiffeosystem)
logger.info('Creating symbolic diffeomorphism (resolution = %d)' %
resolution)
diffeoactions = []
for _, action in enumerate(symdds.actions):
id_diffeo, diffeo = parse_diffeo_spec(diffeo2s_config, action['diffeo'])
label = action.get('label', id_diffeo)
original_cmd = np.array(action['original_cmd'])
logger.info('Getting symbolic diffeomorphism %r' % id_diffeo)
shape = (resolution, resolution)
viewport = SquareDomain([[-1, +1], [-1, +1]])
manifold = diffeo.get_topology()
D, Dinfo = diffeo_from_function_viewport(diffeo, manifold, viewport, shape)
D2d = Diffeomorphism2D(D, Dinfo)
diffeo_inv = diffeo.get_inverse()
D_inv, Dinfo_inv = \
diffeo_from_function_viewport(diffeo_inv, manifold, viewport, shape)
D2d_inv = Diffeomorphism2D(D_inv, Dinfo_inv)
action = DiffeoAction(label=label,
diffeo=D2d,
diffeo_inv=D2d_inv,
original_cmd=original_cmd)
diffeoactions.append(action)
dds = DiffeoSystem('unnamed', actions=diffeoactions)
return dds
def make_hard(dd):
assert isinstance(dd, Diffeomorphism2D)
if use_isomorphism_heuristics:
stats = diffeo_stats(dd.d)
per = np.percentile(stats.norm, norm_percentile)
limit = per * factor
# / 3.0
# print('norm mean/mean: %g %g' % (np.mean(stats.norm), np.median(stats.norm)))
# for i in range(0, 100, 5):
# print(' %3d%% = %g' % (i, np.percentile(stats.norm, i)))
# limit = np.percentile(stats.norm, info_percentile)
# if limit <= 1:
# print('limit was %g' % limit)
# limit = 4
variance = (stats.norm > limit).astype('float')
logger.info('---hard choices---')
logger.info(' per: %g pixels * %g =' % (per, factor))
logger.info('limit: %g pixels' % limit)
logger.info(' vis: %.1f%% ' % (100 * np.mean(variance)))
else:
variance = (dd.variance > info_threshold).astype('float')
return Diffeomorphism2D(dd.d, variance)
