|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
from typing import Tuple |
|
import numpy as np |
|
import torch |
|
|
|
import datasets |
|
|
|
class SlideFeaturesDataset(torch.utils.data.Dataset): |
|
"""Slide features dataset.""" |
|
def __init__(self, *args, **kwargs): |
|
self.hf_dataset = datasets.load_dataset(*args, **kwargs).with_format("torch") |
|
self.features = self.hf_dataset["features"] |
|
self.labels = self.hf_dataset["label"] |
|
|
|
def __getitem__(self, item: np.int64) -> Tuple[torch.Tensor, torch.Tensor]: |
|
""" |
|
Parameters |
|
---------- |
|
item: np.int64 |
|
Index of item, will be converted to int. |
|
|
|
Returns |
|
------- |
|
Tuple[torch.Tensor, torch.Tensor] |
|
(1000, 768), (1) |
|
""" |
|
return (self.features[item], self.labels.unsqueeze(0).float()) |
|
|
|
def __len__(self) -> int: |
|
return len(self.hf_dataset) |
|
|
|
@property |
|
def labels(self): |
|
return self.hf_dataset["label"] |
|
|