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import train_model
import json_to_sig
import gaia2.fastyaml as yaml
import sys
import os
import json
import glob
from optparse import OptionParser
template = {"type": "singleClass",
"version": 1.0,
"className": "",
"groundTruth": {}
def get_files_in_dir(dirname, extension):
return glob.glob(os.path.join(dirname, "*.%s" % extension))
def main(dirname, options):
print "running in dir", dirname
project_dir = os.path.abspath(dirname)
projname = os.path.basename(dirname)
# if config/results exist, need force to rm them
project_file = os.path.join(project_dir, "%s.project" % projname)
results_model_file = os.path.join(project_dir, "%s.history" % projname)
resultsdir = os.path.join(project_dir, "results")
datasetsdir = os.path.join(project_dir, "datasets")
if os.path.exists(resultsdir):
print >> sys.stderr, "Results directory already exists. Use -f to delete and re-run"
classes = [d for d in os.listdir(project_dir) \
if os.path.isdir(os.path.join(project_dir, d))]
print classes
groundtruth_name = os.path.join(project_dir, "groundtruth.yaml")
json_name = os.path.join(project_dir, "filelist.yaml")
yaml_name = os.path.join(project_dir, "filelist-yaml.yaml")
filelist = {}
groundtruth = template
missingsig = False
for c in classes:
files = get_files_in_dir(os.path.join(project_dir, c), "json")
yamlfiles = get_files_in_dir(os.path.join(project_dir, c), "sig")
if len(files) != len(yamlfiles):
missingsig = True
print "got", len(files), "files in", c
for f in files:
id = os.path.splitext(os.path.basename(f))[0]
groundtruth["groundTruth"][id] = c
filelist[id] = os.path.join(project_dir, c, f)
# check directories for sig and convert
groundtruth["className"] = projname
yaml.dump(filelist, open(json_name, "w"))
yaml.dump(groundtruth, open(groundtruth_name, "w"))
if missingsig:
print "converting sig"
json_to_sig.convertJsonToSig(json_name, yaml_name)
# run
train_model.trainModel(groundtruth_name, yaml_name, project_file, project_dir, results_model_file)
if __name__ == "__main__":
parser = OptionParser(usage = '%prog directory\n' +
Generates a model of the sig files in `directory`. Converts to yaml
if needed.
options, args = parser.parse_args()
directory = args[0]
main(directory, options)