hfp.anytask(lib.getvaluesfromcoords,
v2,
reciprocal=False,
keys='disttransfm',
tkeys='{}.{}.{}'.format('result_false', k, k2))
# for k, v in hfp['true'].iteritems():
# print k
# for k2, v2 in v.iteritems():
# print k2
# hfp.anytask(lib.getvaluesfromcoords, v2,
# reciprocal=False,
# keys='disttransf',
# tkeys='{}.{}.{}'.format('result_true', k, k2))
hfp.pop('disttransf')
hfp.pop('disttransfm')
hfp.pop('result_false')
# hfp.pop('result_true')
hfp.pop('true')
hfp.pop('false')
hfp.logging('hfp datastructure:\n---\n{}---',
hfp.datastructure2string(maxdepth=2))
print hfp['result.6720_13067.8']
y = []
for k, v in hfp.iteritems():
if v:
# for i, k, ks, vs in hfp['paths_true'].simultaneous_iterator():
# pass
if __name__ == "__main__":
yamlfile = os.path.dirname(os.path.abspath(__file__)) + "/parameters.yml"
yamlfile = os.path.dirname(os.path.abspath(__file__)) + "/parameters.yml"
hfp = IPL(yaml=yamlfile, yamlspec={"path": "intermedfolder", "filename": "pathstruefile"}, castkey=None)
# hfp.logging('datastructure:\n---\n{}', hfp.datastructure2string())
params = hfp.get_params()
hfp["true", "border"] = IPL(data=hfp["largeobj", "border_locmax", "path"])
hfp["true", "locmax"] = IPL(data=hfp["largeobj", "locmax", "path"])
hfp.pop("largeobj")
hfp.data_from_file(filepath=params["intermedfolder"] + params["pathsfalsefile"])
hfp["false", "border"] = IPL(data=hfp["largeobjm", "border_locmax_m", "path"])
hfp["false", "locmax"] = IPL(data=hfp["largeobjm", "locmaxm", "path"])
hfp.pop("largeobjm")
hfp.pop("pathsim")
hfp.pop("overlay")
# # TODO: Insert code here
# hfp = Hdf5ImageProcessingLib(
# yaml=yamlfile,
# yamlspec={'path': 'intermedfolder', 'filename': 'pathstruefile'},
# tkeys='true',
if __name__ == '__main__':
yamlfile = os.path.dirname(os.path.abspath(__file__)) + '/parameters.yml'
hfp = IPL(
yaml=yamlfile,
yamlspec={'path': 'intermedfolder', 'filename': 'pathstruefile'},
castkey=None
)
# hfp.logging('datastructure:\n---\n{}', hfp.datastructure2string())
params = hfp.get_params()
hfp['true', 'border'] = IPL(data=hfp['largeobj', 'border_locmax', 'path'])
hfp['true', 'locmax'] = IPL(data=hfp['largeobj', 'locmax', 'path'])
hfp.pop('largeobj')
hfp.data_from_file(filepath=params['intermedfolder'] + params['pathsfalsefile'])
hfp['false', 'border'] = IPL(data=hfp['largeobjm', 'border_locmax_m', 'path'])
hfp['false', 'locmax'] = IPL(data=hfp['largeobjm', 'locmaxm', 'path'])
hfp.pop('largeobjm')
hfp.pop('pathsim')
hfp.pop('overlay')
# hfp.data_from_file(
# filepath=params['intermedfolder'] + params['pathsfalsefile'],
# tkeys='false',
# castkey=None
# )
yamlfile = os.path.dirname(os.path.abspath(__file__)) + '/parameters.yml'
yamlfile = os.path.dirname(os.path.abspath(__file__)) + '/parameters.yml'
hfp = IPL(yaml=yamlfile,
yamlspec={
'path': 'intermedfolder',
'filename': 'pathstruefile'
},
castkey=None)
# hfp.logging('datastructure:\n---\n{}', hfp.datastructure2string())
params = hfp.get_params()
hfp['true', 'border'] = IPL(data=hfp['largeobj', 'border_locmax', 'path'])
hfp['true', 'locmax'] = IPL(data=hfp['largeobj', 'locmax', 'path'])
hfp.pop('largeobj')
hfp.data_from_file(filepath=params['intermedfolder'] +
params['pathsfalsefile'])
hfp['false', 'border'] = IPL(data=hfp['largeobjm', 'border_locmax_m',
'path'])
hfp['false', 'locmax'] = IPL(data=hfp['largeobjm', 'locmaxm', 'path'])
hfp.pop('largeobjm')
hfp.pop('pathsim')
hfp.pop('overlay')
# # TODO: Insert code here
# hfp = Hdf5ImageProcessingLib(
# yaml=yamlfile,
