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-1.8.6.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 13c1140dc83ef8d394e1e8ae62b8d3380dfd0c1b7fe39923300075720d8dc1ea |
|
MD5 | 75614c3da05f1dc0bc5c58481e28ac2a |
|
BLAKE2b-256 | 47b906f4279984ce93e52ccceacea16b24f0852a84e2fc416a4c77a589df57e4 |
Close
Hashes for nowcasting_dataloader-1.8.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 816a49e53bb31bdbeaeeb2710882f7ce0c47fa821c1b38d8a1af8bf85d4914c9 |
|
MD5 | d34ac185ea13a179693388ca32c186a1 |
|
BLAKE2b-256 | ef06a6f1588899f5debd35e628459187ca5a41d3447808af6b0a46fe515dc073 |