tfg.datasets.shapenet.Shapenet.builder_config_cls
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A Shapenet config for loading the original .obj files.
tfg.datasets.shapenet.Shapenet.builder_config_cls(
model_subpath='models/model_normalized.obj'
)
Attributes |
|---|
name
|
Dataclass field
|
version
|
Dataclass field
|
release_notes
|
Dataclass field
|
supported_versions
|
Dataclass field
|
description
|
Dataclass field
|
Methods
from_dataset_info
@classmethod
from_dataset_info(
info_proto: dataset_info_pb2.DatasetInfo
) -> Optional['BuilderConfig']
generate_examples
View source
generate_examples(
base_dir, models
)
Yields examples.
The structure of the examples:
{
'trimesh': tensorflow_graphics.datasets.features.TriangleMesh
'label': tensorflow_datasets.features.ClassLabel
'model_id': tensorflow_datasets.features.Text
}
| Args |
|---|
base_dir
|
The base directory of shapenet.
|
models
|
The list of models in the split.
|
info
View source
info(
dataset_builder
)
Delegated Shapenet._info.
split_generators
View source
split_generators(
dl_manager, dataset_builder
)
Delegated Shapenet._split_generators.
Class Variables |
|---|
|
description
|
None
|
|
release_notes
|
None
|
|
version
|
None
|
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Last updated 2022-10-07 UTC.
[null,null,["Last updated 2022-10-07 UTC."],[],[],null,["# tfg.datasets.shapenet.Shapenet.builder_config_cls\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/graphics/blob/master/tensorflow_graphics/datasets/shapenet/shapenet.py#L77-L173) |\n\nA Shapenet config for loading the original .obj files. \n\n tfg.datasets.shapenet.Shapenet.builder_config_cls(\n model_subpath='models/model_normalized.obj'\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|----------------------|-----------------|\n| `name` | Dataclass field |\n| `version` | Dataclass field |\n| `release_notes` | Dataclass field |\n| `supported_versions` | Dataclass field |\n| `description` | Dataclass field |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `from_dataset_info`\n\n @classmethod\n from_dataset_info(\n info_proto: dataset_info_pb2.DatasetInfo\n ) -\u003e Optional['BuilderConfig']\n\n### `generate_examples`\n\n[View source](https://github.com/tensorflow/graphics/blob/master/tensorflow_graphics/datasets/shapenet/shapenet.py#L147-L173) \n\n generate_examples(\n base_dir, models\n )\n\nYields examples.\n\nThe structure of the examples:\n{\n'trimesh': tensorflow_graphics.datasets.features.TriangleMesh\n'label': tensorflow_datasets.features.ClassLabel\n'model_id': tensorflow_datasets.features.Text\n}\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|------------|----------------------------------|\n| `base_dir` | The base directory of shapenet. |\n| `models` | The list of models in the split. |\n\n\u003cbr /\u003e\n\n### `info`\n\n[View source](https://github.com/tensorflow/graphics/blob/master/tensorflow_graphics/datasets/shapenet/shapenet.py#L89-L102) \n\n info(\n dataset_builder\n )\n\nDelegated Shapenet._info.\n\n### `split_generators`\n\n[View source](https://github.com/tensorflow/graphics/blob/master/tensorflow_graphics/datasets/shapenet/shapenet.py#L104-L145) \n\n split_generators(\n dl_manager, dataset_builder\n )\n\nDelegated Shapenet._split_generators.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Class Variables --------------- ||\n|---------------|--------|\n| description | `None` |\n| release_notes | `None` |\n| version | `None` |\n\n\u003cbr /\u003e"]]
View source on GitHub