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Supplementary interface input parameters

This commit is contained in:
liu-yongqi-63 2022-06-01 10:44:46 +08:00
parent 2838edf7a5
commit 241bc7d2e5
4 changed files with 4 additions and 4 deletions
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2
docs/api/api_python/dataset/mindspore.dataset.CelebADataset.rst
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mindspore.dataset.CelebADataset
===============================
.. py:class:: mindspore.dataset.CelebADataset(dataset_dir, num_parallel_workers=None, shuffle=None, usage='all', sampler=None, decode=False, extensions=None, num_samples=None, num_shards=None, shard_id=None, cache=None)
.. py:class:: mindspore.dataset.CelebADataset(dataset_dir, num_parallel_workers=None, shuffle=None, usage='all', sampler=None, decode=False, extensions=None, num_samples=None, num_shards=None, shard_id=None, cache=None, decrypt=None)
读取和解析CelebA数据集的源文件构建数据集。目前仅支持解析CelebA数据集中的 `list_attr_celeba.txt` 文件作为数据集的label。

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docs/api/api_python/dataset/mindspore.dataset.CocoDataset.rst
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mindspore.dataset.CocoDataset
==============================
.. py:class:: mindspore.dataset.CocoDataset(dataset_dir, annotation_file, task='Detection', num_samples=None, num_parallel_workers=None, shuffle=None, decode=False, sampler=None, num_shards=None, shard_id=None, cache=None, extra_metadata=False)
.. py:class:: mindspore.dataset.CocoDataset(dataset_dir, annotation_file, task='Detection', num_samples=None, num_parallel_workers=None, shuffle=None, decode=False, sampler=None, num_shards=None, shard_id=None, cache=None, extra_metadata=False, decrypt=None)
读取和解析COCO数据集的源文件构建数据集。该API支持解析COCO2017数据集，支持四种类型的机器学习任务，分别是目标检测、关键点检测、物体分割和全景分割。

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docs/api/api_python/dataset/mindspore.dataset.ImageFolderDataset.rst
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mindspore.dataset.ImageFolderDataset
=====================================
.. py:class:: mindspore.dataset.ImageFolderDataset(dataset_dir, num_samples=None, num_parallel_workers=None, shuffle=None, sampler=None, extensions=None, class_indexing=None, decode=False, num_shards=None, shard_id=None, cache=None)
.. py:class:: mindspore.dataset.ImageFolderDataset(dataset_dir, num_samples=None, num_parallel_workers=None, shuffle=None, sampler=None, extensions=None, class_indexing=None, decode=False, num_shards=None, shard_id=None, cache=None, decrypt=None)
从树状结构的文件目录中读取图片构建源数据集，同一个文件夹中的所有图片将被分配相同的label。

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docs/api/api_python/dataset/mindspore.dataset.VOCDataset.rst
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mindspore.dataset.VOCDataset
=============================
.. py:class:: mindspore.dataset.VOCDataset(dataset_dir, task='Segmentation', usage='train', class_indexing=None, num_samples=None, num_parallel_workers=None, shuffle=None, decode=False, sampler=None, num_shards=None, shard_id=None, cache=None, extra_metadata=False)
.. py:class:: mindspore.dataset.VOCDataset(dataset_dir, task='Segmentation', usage='train', class_indexing=None, num_samples=None, num_parallel_workers=None, shuffle=None, decode=False, sampler=None, num_shards=None, shard_id=None, cache=None, extra_metadata=False, decrypt=None)
读取和解析VOC数据集的源文件构建数据集。