Nowcasting Dataloader
Project description
nowcasting-dataloader
PyTorch Dataloader for working with multi-modal data for nowcasting applications. In particular, this code loads the pre-prepared batches saved to disk by nowcasting_dataset
. This code also computes some optional, additional input features.
Usage
Installation
Run pip install nowcasting-dataloader
Conventions
The dataloader assumes that data is generally in B, C, T, H, W ordering, where B is Batch size, C is number of channels, T is timestep, H is height, and W is width.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for nowcasting_dataloader-1.8.29.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3a05e7756c371f8c4111d99d23886ed25c338592cc4d4da755f4cd546eddb4b9 |
|
MD5 | 352fe780538829efd4a5ce58416845ea |
|
BLAKE2b-256 | 24b2744df4db473cf8d1aa286545181954c1a7473994bc69e9905487826fcbe7 |
Close
Hashes for nowcasting_dataloader-1.8.29-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1e56b2248987bc5890f61df37617b1ef9589770a3b16d5c830c0396ef7058347 |
|
MD5 | 1adde60aed6e49b0ac814ff1e708239d |
|
BLAKE2b-256 | f89e7e8669e26f7bc74d232d70ef150170b648186437b3bbc05c79a6870b7b53 |