A Common Language for EO Machine Learning Data
Project description
mlstac
A Common Language for EO Machine Learning Data
import mlstac
# Read the data online
path = "https://huggingface.co/datasets/JulioContrerasH/prueba1/resolve/main/images_2000.mlstac"
metadata = mlstac.load_metadata(path)
data = mlstac.load_data(metadata[0:4])
data.shape
# Read the data locally
path = "/home/cesar/Downloads/images_2000.mlstac"
dataset = mlstac.load_metadata(path)
data = mlstac.load_data(dataset[0:4])
# From mlstac to GEOTIFF
import rasterio as rio
path = "https://huggingface.co/datasets/JulioContrerasH/prueba1/resolve/main/images_2000.mlstac"
metadata = mlstac.load_metadata(path)
data, metadata = mlstac.load_data(metadata[0:1], save_metadata_datapoint=True)[0]
with rio.open("data.tif", "w", **metadata) as dst:
dst.write(data)
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
mlstac-0.1.2.tar.gz
(6.1 kB
view details)
Built Distribution
File details
Details for the file mlstac-0.1.2.tar.gz.
File metadata
- Download URL: mlstac-0.1.2.tar.gz
- Upload date:
- Size: 6.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/7.0.1 keyring/24.3.1 pkginfo/1.9.6 readme-renderer/34.0 requests-toolbelt/1.0.0 requests/2.31.0 rfc3986/1.5.0 tqdm/4.66.1 urllib3/2.2.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6713bcce103213d2b033933dc52ba4ad762267b166c4770abb55dcead8061844 |
|
| MD5 | 42ad442fd14bfedbd7dc339da08d7905 |
|
| BLAKE2b-256 | e0bebf4a53ac519842c809c7d78b79ac986401ba6c2395c508f5cfbbc97878ee |
File details
Details for the file mlstac-0.1.2-py3-none-any.whl.
File metadata
- Download URL: mlstac-0.1.2-py3-none-any.whl
- Upload date:
- Size: 6.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/7.0.1 keyring/24.3.1 pkginfo/1.9.6 readme-renderer/34.0 requests-toolbelt/1.0.0 requests/2.31.0 rfc3986/1.5.0 tqdm/4.66.1 urllib3/2.2.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1eba58c09f0725f1f4a32f785784a29567a1ca7def4b082e9f1b775f7b39abeb |
|
| MD5 | 9518e3228047d1e49850055c9f5cfe25 |
|
| BLAKE2b-256 | 38b44f29243fe7af0ce3375853f7da3404e846c18b4060eb7f775b86d0cc96ca |
