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-1.6.18.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | bc1d2817350b766e1f248ad31726e8cf23aa88a150d2ba5cf1d0e4a9d7e92bc7 |
|
MD5 | cd212660c13f2bb4fa009f91907f82fc |
|
BLAKE2b-256 | d630f717b1b6a5bfd459295ed2e9daafa85285e014ab7b1f2ab978f533520937 |
Close
Hashes for nowcasting_dataloader-1.6.18-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e67938d773dfdd761c34eeb0e3d5fd3a9c7ece00d8066a31d955759e25ecfef4 |
|
MD5 | 77b3a1b2370b41cb670d53e5ff141ba7 |
|
BLAKE2b-256 | 790f1cb04bcc4efdddb061554e0f7fee55088e6ba932f2279ed5fb30cb28be9d |