Dataset class to access remote data
Example of usage
import io
from PIL import Image
import numpy as np
import torch
from remtorch import RemoteDataset
class ImageDataset(RemoteDataset):
def prepare_item(self, item):
buf = io.BytesIO(item)
buf.seek(0)
img = Image.open(buf)
return np.array(img)
ds = ImageDataset(
'servername',
'username',
'password',
'/path/to/files',
batchsize
)
dl = torch.utils.data.DataLoader(ds, batchsize)
for img in dl:
# do smth1 maintainer
Metadata
1 maintainer
Release files for remtorch 0.0.2
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| File | Size | Uploaded | Provenance | Actions |
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| remtorch-0.0.2.tar.gz | 2.8 kB | Without provenance | Details for remtorch-0.0.2.tar.gz |
Release files / remtorch-0.0.2.tar.gz
| Download URL | remtorch-0.0.2.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
|
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|
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| Uploaded via |
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|
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