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-2.0.6.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 34807d3414c2395308b647e3b0b2d12d2e1186db8bd909dfa9a1c25179fd0ba7 |
|
MD5 | 235180568f44f42235920f4bd6c50d9d |
|
BLAKE2b-256 | bd85bf64f9a662ffba913b48bc4d8d8fdbdaaab4a9bc28def449513acce06dc3 |
Close
Hashes for nowcasting_dataloader-2.0.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9075eaa04ac87d0eb2e7f0ef67e2f1af6100fc2f8711998a709c47aed6a208b1 |
|
MD5 | c16efc270c965369e24d341e4613ba27 |
|
BLAKE2b-256 | 62bb55798377712841d37693617cd07852e8a435ac3f472af4429f79f3df2574 |