import json import numpy as np from enum import Enum class PairType(Enum): TRAIN = 0 TEST = 1 class Image: def __init__(self, pixels: np.ndarray, id: str): self.pixels = pixels self.id = id @classmethod def create_from_json(cls, pixels_json, id: str) -> 'Image': pixels = np.array(pixels_json, np.int32) return Image(pixels, id) class Pair: def __init__(self, input: Image, output: Image, pair_type: PairType, pair_index: int): self.input = input self.output = output self.pair_type = pair_type self.pair_index = pair_index @classmethod def create_from_json(cls, pair_json, pair_type: PairType, pair_index: int) -> 'Pair': pair_type_name = 'train' if pair_type == PairType.TEST: pair_type_name = "test" input = Image.create_from_json(pair_json['input'], f'{pair_type_name} {pair_index} in') output = Image.create_from_json(pair_json['output'], f'{pair_type_name} {pair_index} out') return Pair(input, output, pair_type, pair_index) class Task: def __init__(self, pairs: [Pair]): self.pairs = pairs @classmethod def load(cls, filename) -> 'Task': with open(filename) as f: json_data = json.load(f) pairs = [] for pair_index, json_pair in enumerate(json_data['train']): pair = Pair.create_from_json(json_pair, PairType.TRAIN, pair_index) pairs.append(pair) for pair_index, json_pair in enumerate(json_data['test']): pair = Pair.create_from_json(json_pair, PairType.TEST, pair_index) pairs.append(pair) return Task(pairs) def train_test(self) -> (int, int): count_train = 0 count_test = 0 for pair_index, pair in enumerate(self.pairs): if pair.pair_type == PairType.TRAIN: count_train += 1 else: count_test += 1 return (count_train, count_test) if __name__ == '__main__': filename = 'testdata/af902bf9.json' task = Task.load(filename) print(task)