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Generate graph visualization for torchvision datasets
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import pathlib | |
import warnings | |
import tqdm | |
from torchdata.datapipes.utils import to_graph | |
from torchvision.prototype import datasets | |
directory = pathlib.Path.cwd() / "torchvision_datasets" | |
directory.mkdir(parents=True, exist_ok=True) | |
format = "png" | |
manual_configs = { | |
"clevr": [ | |
dict(split="train"), | |
dict(split="test"), | |
], | |
"coco": [ | |
dict(annotations="instances"), | |
dict(annotations=None), | |
], | |
"cub200": [ | |
dict(year="2010"), | |
dict(year="2011"), | |
], | |
"gtsrb": [ | |
dict(split="train"), | |
dict(split="test"), | |
], | |
"imagenet": [ | |
dict(split="train"), | |
dict(split="val"), | |
dict(split="test"), | |
], | |
"sbd": [ | |
dict(split="train"), | |
dict(split="train_noval"), | |
], | |
"stanford-cars": [ | |
dict(split="train"), | |
dict(split="test"), | |
], | |
} | |
for name, configs in tqdm.tqdm([(name, manual_configs.get(name, [dict()])) for name in datasets.list_datasets()]): | |
for config in tqdm.tqdm(configs): | |
stem = "_".join([name, *[f"{k}_{v}" for k, v in sorted(config.items())]]) | |
if (directory / f"{stem}.{format}").exists(): | |
continue | |
try: | |
dataset = datasets.load(name, **config) | |
except Exception as error: | |
warnings.warn(f"Dataset '{name}' with config {config} raised the following exception:\n\n{error}") | |
continue | |
graph = to_graph(dataset) | |
graph.render(filename=stem, directory=directory, format=format, cleanup=True) |
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