File size: 1,616 Bytes
bec4cf1 3699dca bec4cf1 | 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 57 58 | import json
import os
import random
import time
from pathlib import Path
CURRENT_PATH = Path(__file__).parent.resolve()
ROOT_PATH = CURRENT_PATH.parent.resolve()
DATASET_PATH = ROOT_PATH / "MLE"
DATASET_FILENAME_DICT_PATH = DATASET_PATH / "filename_dict.json"
DATASET_LOW_LIGHT_PATH = DATASET_PATH / "low-light"
DATASET_DATA_PATH = DATASET_PATH / "data"
DATASET_TRAIN_PATH = DATASET_PATH / "train"
DATASET_TEST_PATH = DATASET_PATH / "test"
SUBMISSION_PATH = ROOT_PATH / "submissions"
_categories = {
"b": "building",
"i": "indoor",
"p": "people",
"r": "road",
"s": "scenery",
"v": "vehicle",
}
def parse_info_from_filename(filename: str, full_category: bool = True) -> tuple[str, str, int, str, str]:
filename, suffix = filename.strip().split('.')
category, index, model = filename.split('_')
if full_category:
category = _categories[category]
return filename, category, int(index), model, suffix
def read_json(path: Path):
with open(path, mode="r") as f:
return json.load(f)
def write_json(path: Path, data: dict):
with open(path, mode="w") as f:
json.dump(data, f, indent=2)
def create_rng_with_seed(filename: str = "seed"):
path = CURRENT_PATH / f"{filename}.txt"
if os.path.exists(path):
try:
with open(path, "r", encoding="utf-8") as f:
seed = int(f.read().strip())
return random.Random(seed)
except Exception:
pass
seed = time.time_ns()
with open(path, "w", encoding="utf-8") as f:
f.write(str(seed))
return random.Random(seed)
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