def main():
parser = argparse.ArgumentParser(description = 'Generate HITs for Amazon Mechnical Turk workers.')
parser.add_argument('-f', help = 'The mtk data source file.')
parser.add_argument('-o', help = 'The output file of used data.')
args = parser.parse_args()
data_sources = []
if (args.f != None):
data_sources = utils.load_file(args.f)
random.shuffle(data_sources)
db_collections = hit.setup_mongodb()
data_metainfo = hit.regex_datasource(data_sources)
images_metainfo = hit.query_imagedata_from_db(db_collections, data_metainfo)
# data_labels: flickr high interesting 1, flickr low interesting 2, pinterest [3, 4, 5]
data_labels = data_metainfo[0]
# data_ids: (flickr, pinterest) image id
data_ids = data_metainfo[1]
data_count_limit = 50
for begin_index in range(0, len(data_sources), data_count_limit):
print("index: " + str(begin_index))
generate_hits(data_sources[begin_index:begin_index + data_count_limit], begin_index, args, data_ids[begin_index:begin_index + data_count_limit], images_metainfo)
sys.exit(0)
def main():
parser = argparse.ArgumentParser(
description='Generate HITs for Amazon Mechnical Turk workers.')
parser.add_argument('-f', help='The mtk data source file.')
parser.add_argument('-o', help='The output file of used data.')
args = parser.parse_args()
data_sources = []
if (args.f != None):
data_sources = utils.load_file(args.f)
random.shuffle(data_sources)
db_collections = hit.setup_mongodb()
data_metainfo = hit.regex_datasource(data_sources)
images_metainfo = hit.query_imagedata_from_db(db_collections,
data_metainfo)
# data_labels: flickr high interesting 1, flickr low interesting 2, pinterest [3, 4, 5]
data_labels = data_metainfo[0]
# data_ids: (flickr, pinterest) image id
data_ids = data_metainfo[1]
data_count_limit = 50
for begin_index in range(0, len(data_sources), data_count_limit):
print("index: " + str(begin_index))
generate_hits(data_sources[begin_index:begin_index + data_count_limit],
begin_index, args,
data_ids[begin_index:begin_index + data_count_limit],
images_metainfo)
sys.exit(0)
def main():
parser = argparse.ArgumentParser(description = 'Generate HITs for Amazon Mechnical Turk workers.')
parser.add_argument('-f', help = 'The mtk data source file.')
parser.add_argument('-o', help = 'The output file of used data.')
parser.add_argument('-m', default = 'normal', help = 'The running mode in {normal, qua_init, qua}.')
parser.add_argument('-q', help = 'The qualification type id.')
parser.add_argument('-t', default = 'sandbox', help = 'The type of Mechanical Turk.')
args = parser.parse_args()
if (args.m == 'qua' and args.q == None):
print('Please give qualification type id if running in qualification mode.')
sys.exit(0)
data_sources = []
if (args.f != None):
data_sources = utils.load_file(args.f)
if (args.m != 'qua'):
random.shuffle(data_sources)
db_collections = hit.setup_mongodb()
data_metainfo = hit.regex_datasource(data_sources)
images_metainfo = hit.query_imagedata_from_db(db_collections, data_metainfo)
# data_labels: flickr high interesting 1, flickr low interesting 2, pinterest [3, 4, 5]
data_labels = data_metainfo[0]
# data_ids: (flickr, pinterest) image id
data_ids = data_metainfo[1]
data_count_limit = 100
for begin_index in range(0, len(data_sources), data_count_limit):
print("index: " + str(begin_index))
generate_hits(args.t, data_sources[begin_index:begin_index + data_count_limit], begin_index, args, data_ids[begin_index:begin_index + data_count_limit], images_metainfo)
sys.exit(0)