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import os
import json
import random
data = dict()
data['database'] = dict()
categories = list()
with open("K700_val.csv", 'w') as f:
for root, dirs, files in os.walk("./validation"):
label = root.strip().split('/')[-1]
if files:
categories.append(label)
for fi in files:
# f.write("{},{}\n".format(os.path.join(root, fi), label))
data['database'][fi] = {'subset': 'validation', 'annotations': {'label': label}}
print("{} validation instances".format(len(data['database'])))
with open("K700_train.csv", 'w') as f:
for root, dirs, files in os.walk("./training"):
label = root.strip().split('/')[-1]
if files:
categories.append(label)
for fi in files:
f.write("{},{}\n".format(os.path.join(root, fi), label))
data['database'][fi] = {'subset': 'training', 'annotations': {'label': label}}
with open("categories.txt", 'w') as f:
categories = sorted(categories)
for i, label in enumerate(categories):
f.write("{},{}\n".format(label, i))
with open("annotation.json", 'w') as f:
json.dump(data, f)
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