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.core.load_metadata(path)
data = mlstac.core.load_data(metadata[0:4])
data.shape
# Read the data locally
path = "/home/cesar/Downloads/images_2000.mlstac"
dataset = mlstac.core.load_metadata(path)
data = mlstac.core.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.core.load_metadata(path)
data, metadata = mlstac.core.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-0.1.5.tar.gz
(23.2 kB
view details)
Built Distribution
mlstac-0.1.5-py3-none-any.whl
(29.6 kB
view details)
File details
Details for the file mlstac-0.1.5.tar.gz.
File metadata
- Download URL: mlstac-0.1.5.tar.gz
- Upload date:
- Size: 23.2 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/2.32.3 rfc3986/1.5.0 tqdm/4.66.1 urllib3/2.2.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7042d181688cb98f38208653abd42df01023a3e731a6b33fe1b7c333291e6376 |
|
| MD5 | 46dd864d7175fd2592b33a5e9bcb7e97 |
|
| BLAKE2b-256 | 9c92c809c5a7d5236cd69b95b483ab338a950f222d71aaee58c5def22f82888d |
File details
Details for the file mlstac-0.1.5-py3-none-any.whl.
File metadata
- Download URL: mlstac-0.1.5-py3-none-any.whl
- Upload date:
- Size: 29.6 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/2.32.3 rfc3986/1.5.0 tqdm/4.66.1 urllib3/2.2.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0ded71e537a52ffac418d80cd98c5b1338d7a66f6eff65338236dbf123203bc2 |
|
| MD5 | 1dc83e004a46085ffcc07826060dea1d |
|
| BLAKE2b-256 | 4d897b802e4700e2887ae57661650d78d945f2fb58b4a784c3467d99d5bf4989 |
