def load_published(infr):
"""
Downloads, caches, and loads pre-trained verifiers.
This is the default action.
"""
from ibeis.algo.verif import deploy
ibs = infr.ibs
species = ibs.get_primary_database_species(infr.aids)
infr.verifiers = deploy.Deployer().load_published(ibs, species)
def load_latest_classifiers(infr, dpath):
from ibeis.algo.verif import deploy
task_clf_fpaths = deploy.Deployer(dpath).find_latest_local()
classifiers = {}
for task_key, fpath in task_clf_fpaths.items():
clf_info = ut.load_data(fpath)
assert clf_info['metadata']['task_key'] == task_key, (
'bad saved clf at fpath={}'.format(fpath))
classifiers[task_key] = clf_info
infr.verifiers = classifiers
def load_published(infr):
"""
Downloads, caches, and loads pre-trained verifiers.
This is the default action.
"""
from ibeis.algo.verif import deploy
ibs = infr.ibs
species = ibs.get_primary_database_species(infr.aids)
infr.print('Loading task_thresh for species: %r' % (species, ))
assert species in infr.task_thresh_dict
infr.task_thresh = infr.task_thresh_dict[species]
infr.print('Loading verifiers for species: %r' % (species, ))
infr.verifiers = deploy.Deployer().load_published(ibs, species)
def __init__(verif, pblm, task_key, clf_key, data_key):
verif.pblm = pblm
verif.task_key = task_key
verif.clf_key = clf_key
verif.data_key = data_key
verif.metadata = {
'task_key': task_key,
'clf_key': clf_key,
}
# Make an ensemble of the evaluation classifiers
from ibeis.algo.verif import deploy
deployer = deploy.Deployer(pblm=verif.pblm)
verif.ensemble = deployer._make_ensemble_verifier(
verif.task_key, verif.clf_key, verif.data_key)
verif.class_names = verif.ensemble.class_names