| 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) |
|
|