| 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) |
|
|