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dataset.py
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dataset.py
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from megengine.data.dataset import Dataset as Base
from megengine.data.sampler import SequentialSampler
from megengine.data import DataLoader
import numpy as np
from utils import pixel_unshuffle
from copy import deepcopy
__all__ = ['make_dataloader']
class Dataset(Base):
def __init__(self, data_path):
super().__init__()
with open(data_path, 'rb') as content:
x = np.frombuffer(content.read(), dtype='uint16').reshape((-1, 256, 256))
x = np.expand_dims(x, 1).astype(np.float32)
x = pixel_unshuffle(x) / 65535.0
self.x = x
def __getitem__(self, index):
return deepcopy(self.x[index])
def __len__(self):
return len(self.x)
def make_dataloader(data_path, batch_size, workers=0):
dataset = Dataset(data_path)
loader = DataLoader(
dataset,
SequentialSampler(
dataset,
batch_size=batch_size,
drop_last=False,
world_size=1,
rank=0,
),
num_workers=workers
)
return loader