File format to store multimodal Satellite Image Time Series.
Reading a partial subset (site, time, space, spectral, modality) is optimized for training neural networks.
The format is composed of a zip containing tiffs (sorted for optimal reading speed), and a binary index file (.ziptif).
The reader supports lazy concatenation datasets along the 'site' and 'modality' axis, thus allowing arbitrarly large training dataset.
Tested with Sentinel-1 and Sentinel-2 for now. Functions to create a dataset make a few assumptions that are not yet documented here.
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Release files for ziptif 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ziptif-0.1.0.tar.gz | 23.4 kB | Details |
Release files / ziptif-0.1.0.tar.gz
| Download URL | ziptif-0.1.0.tar.gz |
|---|---|
| Size | 23.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
ccad70dc17e4234da6d24038cb4ff58c0e851f64fba8f4b4823796b8a41f91c3
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BLAKE2b-256 checksum How to use checksums |
03d574ff93c7f9c86132271242388ea6da6de01a916803ab787c60729ba0fe85
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uv/0.12.1 {"installer":{"name":"uv","version":"0.12.1","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Manjaro Linux","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
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