A package containing utilities for classification exercises in module 4 of e-trainee.
Project description
E-TRAINEE_M4_UTILS
A package containing utilities for classification exercises in module 4 of E-TRAINEE.
Includes tools for preprocessing gdal-compatible rasters and ingesting them into the classification workflows, combining classified tiles after deep learning, visualising the process and exporting results. Also included are Spectral Angle Mapper (SAM) and Spectral Information Divergence (SID) classifiers (implementation based on pysptools).
Installation
Install using pip:
pip install etrainee_m4_utils
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
File details
Details for the file etrainee_m4_utils-0.2.2.tar.gz.
File metadata
- Download URL: etrainee_m4_utils-0.2.2.tar.gz
- Upload date:
- Size: 10.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a27045e0aaa1cf5ad5285adc053a0da50e152d3fa7233f6c2af43cdbf98899ec |
|
| MD5 | 1fb899650fbff4aefbbbd73140bdc5e2 |
|
| BLAKE2b-256 | d5b0ee259044abc5233d429e8f9411d3640ef6144a63dffe25e1a10cb3f2d946 |
File details
Details for the file etrainee_m4_utils-0.2.2-py3-none-any.whl.
File metadata
- Download URL: etrainee_m4_utils-0.2.2-py3-none-any.whl
- Upload date:
- Size: 11.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1fe176d1f1e1fae39415e83dfb1007b3cbb647bfb3791c632edd985ea3ecdcc6 |
|
| MD5 | 29d572f2a84107236a4f64f8c6b2fa0d |
|
| BLAKE2b-256 | 2cffe0b51488daeabf38a3979e0fa92a27710b58c493ece612dc62e459ada8be |
