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-1.8.13.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 07f0000af66ac30d44ce0d6e7c8acb94eb385a47bc2d9d308c3087fa5ce31742 |
|
MD5 | 0813a81bd553c9de3db31ea155bd50e7 |
|
BLAKE2b-256 | 540ef307b3a19224bffc449e66b82d28e7ba2e1eb3f9db24d934845a123f5966 |
Close
Hashes for nowcasting_dataloader-1.8.13-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cf41ed03d1003912df84c001074531166bdaf6fac91fe7d1a60d65a6add1df22 |
|
MD5 | a73189e1cc4f43a8a4f2f9b7483743f1 |
|
BLAKE2b-256 | 8997296387ea7fbba2dd34395e03dba0921c69fc9c0828468fa5b4afc6a89a7c |