def main():
from sys import argv
if len(argv) < 3:
print "Insufficient Arguments!"
print "Proper Usage: %s [image_db_path] [output_csv_path]"
return
db_path, csv_path = map(path.expanduser, argv[1:3])
db_man = io.ImageDbManager(db_path)
df = dataframes.get_dataframe_from_image_sequence(db_man.get_image_iter())
df.to_csv(csv_path)
def main():
from sys import argv
if len(argv) < 3:
print "Insufficient Argumets!"
print "Proper Usage: %s [output_path] [p_files]" % argv[0]
return
csv_path = path.expanduser(argv[1])
path_exprs = imap(path.expanduser, argv[2:])
p_file_paths = chain(*imap(glob, path_exprs))
image_iter = (pickle.load(open(file_path)) for file_path in p_file_paths)
df = dataframes.get_dataframe_from_image_sequence(image_iter)
df.to_csv(csv_path)
return
def main():
parser = configure_parser()
args = parser.parse_args()
metadata_path = path.join(args.experiment_path, '.registrationData', 'metadata.json')
metadata = json.load(open(metadata_path))
javabridge.start_vm(class_path=bioformats.JARS)
log4j.basic_config()
image_descriptors = ifilter(
lambda d: d is not None,
(get_image_descriptor(label_path, metadata, args) for label_path in args.image_paths)
)
df = dataframes.get_dataframe_from_image_sequence(image_descriptors)
df.to_csv(args.output_path)
javabridge.kill_vm()
