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-1.2.6.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 02397556e4d3f02c3d301511d1874da13b3bedf1502381a81051c4426adb01e3 |
|
MD5 | 032679303e635e2a2da04044af1950f7 |
|
BLAKE2b-256 | b846a8e8701c4743883ccfac6586122f2cffba56589c745249c63be2cb2675cb |
Close
Hashes for nowcasting_dataloader-1.2.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9da42e105b4edb411d096aad09018360267eb1e0bac639f4842c162b0f856417 |
|
MD5 | fbfeda7401c613795fb4cb1a69dcbf59 |
|
BLAKE2b-256 | 9230c636a2a9d8c2cf8c54320bf0c6c5d364771f2e0785c31f6f8aa0208dde13 |