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-1.8.3.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | c28509d762ba35bb443bfeff3376b5d070cda71934aa6274934a293d1335f4ec |
|
MD5 | ea89714e644b1ca281644d8f45aea8cb |
|
BLAKE2b-256 | 52e05e39cf2ca3ce9f0492ff05fd1326b066d5ce55f73397a64ef163e57088a8 |
Close
Hashes for nowcasting_dataloader-1.8.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 57a8d970cd3ad093f27f43c4e3dfd4be3f5d8b3006f03e9135031a8b0a175676 |
|
MD5 | 1c7689421fc9df4589fd227eb8317bd1 |
|
BLAKE2b-256 | e9b722be97e255c2b1392b3f9c568b579fc3ecf2f1ba2342d2ebd3be33a99918 |