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Source code for mmagic.datasets.dreambooth_dataset

# Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import Callable, List, Union

from mmengine import FileClient
from mmengine.dataset import BaseDataset

from mmagic.registry import DATASETS


@DATASETS.register_module()
[docs]class DreamBoothDataset(BaseDataset): """Dataset for DreamBooth. Args: data_root (str): Path to the data root. concept_dir (str): Path to the concept images. prompt (str): Prompt of the concept. pipeline (list[dict | callable]): A sequence of data transforms. """ def __init__(self, data_root: str, concept_dir: str, prompt: str, pipeline: List[Union[dict, Callable]] = []): data_prefix = dict(img_path=concept_dir) self.prompt = prompt super().__init__( data_root=data_root, data_prefix=data_prefix, pipeline=pipeline)
[docs] def load_data_list(self) -> list: """Load data list from concept_dir and class_dir.""" data_list = [] img_dir = self.data_prefix['img_path'] file_client = FileClient.infer_client(uri=img_dir) img_dir = osp.abspath(img_dir) for data_name in file_client.list_dir_or_file(img_dir, list_dir=False): data_info = dict( img_path=file_client.join_path(img_dir, data_name), prompt=self.prompt) data_list.append(data_info) return data_list
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