propagation_gan/opencellid_parsing/002.extract_measurements.py

53 lines
1.6 KiB
Python

#!/usr/bin/python
import os
import sys
import pickle
print("load ~45GB data into memory! do not try this if not on server machine")
############################
# extract measurements
############################
folderpath = sys.argv[1]
all_pickle_fp = "{}/all.pickle".format(folderpath)
pickle_fp_with_gt = "{}/all_with_groundtruth.pickle".format(folderpath)
pickle_fp_no_gt = "{}/all_no_groundtruth.pickle".format(folderpath)
pickle_fp_unseen = "{}/all_unseen.pickle".format(folderpath)
if os.path.isfile(all_pickle_fp):
# load data only
data = pickle.load(open(all_pickle_fp, 'rb'))
else:
# load and combine data
files = [file for file in os.listdir(folderpath) if '_parsed.pickle' in file]
data = {}
for file in sorted(files, key=lambda x: int(x.rstrip('_parsed.pickle').split('_')[-1])):
print("loading {}".format(file))
datatmp = pickle.load(open("{}/{}".format(folderpath, file), 'rb'))
print("combining..")
for key in datatmp:
if key not in data:
data[key] = datatmp[key]
else:
data[key][1] += datatmp[key][1]
pickle.dump(data, open(all_pickle_fp, 'wb'))
data_with_gt = {}
data_no_gt = {}
data_unseen = {}
for key in data:
if "with_groundtruth" in key:
data_with_gt[key] = data[key]
elif "without_groundtruth" in key:
data_no_gt[key] = data[key]
elif "unseen" in key:
data_unseen[key] = data[key]
pickle.dump(data_with_gt, open(pickle_fp_with_gt, 'wb'))
pickle.dump(data_no_gt, open(pickle_fp_no_gt, 'wb'))
pickle.dump(data_unseen, open(pickle_fp_unseen, 'wb'))