File size: 2,082 Bytes
f7d3a87 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | import os
import json
import random
from tqdm import tqdm
cad_classes = ['building', 'chair', 'fan', 'lamp', 'table', 'tools', 'vehicle']
dataset = []
for cad_class in cad_classes:
file_name = f'./dataset/assemblies_15/{cad_class}'
file_list = os.listdir(file_name)
for file in tqdm(file_list):
full_name = os.path.join(file_name, file)
if 'train_examples.json' not in os.listdir(full_name):
continue
else:
example_path = os.path.join(full_name, 'train_examples.json')
with open(example_path, 'r', encoding='utf-8') as f:
data = json.load(f)
for d in data:
dataset.append(d)
dataset_path = './dataset/train_dataset.json'
random.shuffle(dataset)
print(len(dataset))
with open(dataset_path, 'w', encoding='utf-8') as f:
json.dump(dataset, f, ensure_ascii=False, indent=4)
test_dataset = []
val_dataset = []
for cad_class in cad_classes:
file_name = f'./dataset/assemblies_15/{cad_class}'
file_list = os.listdir(file_name)
for file in tqdm(file_list):
full_name = os.path.join(file_name, file)
if 'test_examples.json' not in os.listdir(full_name):
continue
else:
example_path = os.path.join(full_name, 'test_examples.json')
with open(example_path, 'r', encoding='utf-8') as f:
data = json.load(f)
for d in data:
p = random.random()
if p < 0.01:
test_dataset.append(d)
elif p < 0.02:
val_dataset.append(d)
else:
continue
dataset_path = './dataset/test_dataset.json'
print(len(test_dataset))
random.shuffle(test_dataset)
with open(dataset_path, 'w', encoding='utf-8') as f:
json.dump(test_dataset, f, ensure_ascii=False, indent=4)
dataset_path = './dataset/val_dataset.json'
print(len(val_dataset))
random.shuffle(val_dataset)
with open(dataset_path, 'w', encoding='utf-8') as f:
json.dump(val_dataset, f, ensure_ascii=False, indent=4) |