Sink.add_arguments(parser)
params, args, pipeline_params, do_display, db_params, db = read_arguments(parser, argv[1:])
model_ids = []
object_ids = set()
for object_id in params['object_ids']:
for model_id in models.find_model_for_object(db, object_id, 'MMOD'):
model_ids.append(str(model_id))
object_ids.add(object_id)
model_documents = DbDocuments(db_params, model_ids)
# TODO handle this properly...
ecto_ros.init(argv, "mmod_testing", False)#not anonymous.
source = Source.parse_arguments(params['source'])
sink = Sink.parse_arguments(args, db, db_params, object_ids)
#hook up the tester
mmod_tester = MModTester(thresh_match=0.93,color_filter_thresh=0.8,skip_x=8,skip_y=8, model_documents=model_documents)
# Connect the detector to the source
pyr_img = mmod.Pyramid(n_levels=3)
pyr_depth = mmod.Pyramid(n_levels=3)
for key in source.outputs.iterkeys():
if key in mmod_tester.inputs.keys():
if key == 'image':
plasm.connect([ source[key] >> pyr_img['image'],
pyr_img['level_' + str(N_LEVEL_MAX-1)] >> mmod_tester[key] ])
# add arguments for the sink
sink.add_arguments(parser)
parser.add_argument("-b", "--bag", dest="bag", help="The bag to analyze")
parser.add_argument("-c", "--config_file", dest="config_file",
help='the file containing the configuration as JSON. It should contain the following fields.\n'
'"feature_descriptor": with parameters for "combination", "feature" and "descriptor".\n'
'"db": parameters about the db: "type", "url".\n'
'"objects_ids": the list of object to process, e.g. ["amys_country_cheddar_bowl",'
'"band_aid_plastic_strips"]\n'
'"search": the "type" of the search structure, the "radius" and/or "ratio" for the ratio test.\n'
)
# parse the arguments
source.parse_arguments(parser)
sink.parse_arguments(parser)
options = parser.parse_args()
# define the input
if options.config_file is None or not os.path.exists(options.config_file):
raise 'option file does not exist'
# Get the parameters from the file
json_params = json.loads(str(open(options.config_file).read()))
feature_descriptor_params = eval(str(json_params['feature_descriptor']).replace("'", '"').replace('u"', '"').\
replace('{u', '{'))
db_json_params = str(json_params['db']).replace("'", '"').replace('u"', '"').replace('{u', '{')
object_ids = eval(str(json_params['object_ids']).replace("'", '"').replace('u"', '"').replace('{u', '{'))
guess_json_params = str(json_params['guess']).replace("'", '"').replace('u"', '"').replace('{u', '{')
search_json_params = str(json_params['search']).replace("'", '"').replace('u"', '"').replace('{u', '{')
#!/usr/bin/env python
from object_recognition.common.io.source import _assert_source_interface
from object_recognition.common.io.source import Source
import argparse
parser = argparse.ArgumentParser(description='An source reader.')
Source.add_arguments(parser)
parser.print_help()
#test default args
args = parser.parse_args()
source = Source.parse_arguments(args)
_assert_source_interface(source)
print source.__class__.__name__
#assert 'KinectReader' == source.__class__.__name__
#test a bad bag
args = parser.parse_args(['--ros_bag','non_existant.bag'])
try:
source = Source.parse_arguments(args)
except RuntimeError,e:
print str(e)
assert 'non_existant.bag does not exist.' in str(e)
#test an existing bag
with open('a_test.bag','w') as f:
f.write('\ntest\n')
args = parser.parse_args(['--ros_bag','a_test.bag'])
#note that the bag hasn't been opened here.
params, args, pipeline_params, do_display, db_params, db = read_arguments(
parser, argv[1:])
model_ids = []
object_ids = set()
for object_id in params['object_ids']:
for model_id in models.find_model_for_object(db, object_id, 'MMOD'):
model_ids.append(str(model_id))
object_ids.add(object_id)
model_documents = DbDocuments(db_params, model_ids)
# TODO handle this properly...
ecto_ros.init(argv, "mmod_testing", False) #not anonymous.
source = Source.parse_arguments(params['source'])
sink = Sink.parse_arguments(args, db, db_params, object_ids)
#hook up the tester
mmod_tester = MModTester(thresh_match=0.93,
color_filter_thresh=0.8,
skip_x=8,
skip_y=8,
model_documents=model_documents)
# Connect the detector to the source
pyr_img = mmod.Pyramid(n_levels=3)
pyr_depth = mmod.Pyramid(n_levels=3)
for key in source.outputs.iterkeys():
if key in mmod_tester.inputs.keys():
def source(self, source_params):
return Source.parse_arguments(source_params)
def source(self, source_params):
return Source.parse_arguments(source_params)