# pyxit
This code implements the core algorithms for Random subwindows extraction and Extra-Trees classifiers. It is used by Cytomine DataMining applications: classification_validation, classification_model_builder, classification_prediction, segmentation_model_builder and segmentation_prediction. But it can be run without Cytomine on local data (using dir_ls and dir_ts arguments).
It is based on the following paper:
1) For image/object classification: “Towards Generic Image Classification using Tree-based Learning: an Extensive Empirical Study”. Raphael Maree, Pierre Geurts, Louis Wehenkel. Pattern Recognition Letters, DOI: 10.1016/j.patrec.2016.01.006, 2016.
2) For image semantic segmentation: Fast Multi-Class Image Annotation with Random Subwindows and Multiple Output Randomized Trees Dumont et al., 2009 http://orbi.ulg.ac.be/handle/2268/12205
# Install Simply: ` pip install pyxit `
1 maintainer
Metadata
1 maintainer
Release files for pyxit 1.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyxit-1.1.3.tar.gz | 7.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyxit-1.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.1 kB
Release files / pyxit-1.1.3.tar.gz
| Download URL | pyxit-1.1.3.tar.gz |
|---|---|
| Size | 7.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
779645097b80fb6adee8173e68b6ed08d45864a6ac6bb28b3baba08667c06149
|
|
BLAKE2b-256 checksum How to use checksums |
8d8ad44bf7de00fc325d4829254d3c7deaf256d62f6374353aca847fa5c8f738
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/36.4.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4
|
Release files / pyxit-1.1.3-py3-none-any.whl
| Download URL | pyxit-1.1.3-py3-none-any.whl |
|---|---|
| Size | 10.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
958e8d2f6d90f4f5cb4c0f3510afcaa10733500211b27db2abe6c4a145e9cf15
|
|
BLAKE2b-256 checksum How to use checksums |
b30711f3a9ea4f66040e9e73f267068e01b7a57a7ee9f43310940af45a2a015c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/36.4.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4
|
