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-1.2.10.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1a81de751f51fb9b0de0a7fea70dc4356fe7223106e3b0a733e5372d7f1946b5 |
|
MD5 | efeca41b7ad9cd11a8f898a0dbdf9f6d |
|
BLAKE2b-256 | 433d6c3893669942e1898aa1dabcfb0786acd373197a37896e272f96d6eda880 |
Close
Hashes for nowcasting_dataloader-1.2.10-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1f72ce18c92746b77c832e1caa71a82d345d29c84a658b4e8d2a43296bf96361 |
|
MD5 | aa5f10afeecda9aef5be148169006d37 |
|
BLAKE2b-256 | a9fc033a8be0a5bcecfd8d40d9b66ce73b6d51371e21184651bcf9a4798275ae |