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