Source code for flash.pointcloud.segmentation.input
# Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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from typing import Any
from torch.utils.data import Dataset
from flash.core.data.io.input import DataKeys, Input
from flash.core.utilities.imports import requires
from flash.pointcloud.segmentation.open3d_ml.sequences_dataset import SequencesDataset
[docs]class PointCloudSegmentationDatasetInput(Input):
num_classes: Dataset
dataset: Dataset
@requires("pointcloud")
def load_data(self, dataset: Dataset) -> Any:
if self.training and hasattr(dataset, "num_classes"):
self.num_classes = dataset.num_classes
self.dataset = dataset
return range(len(self.dataset))
def load_sample(self, index: int) -> Any:
sample = self.dataset[index]
return {
DataKeys.INPUT: sample["data"],
DataKeys.METADATA: sample["attr"],
}
[docs]class PointCloudSegmentationFoldersInput(PointCloudSegmentationDatasetInput):
@requires("pointcloud")
def load_data(self, folder: str) -> Any:
return super().load_data(SequencesDataset(folder, use_cache=True, predicting=self.predicting))