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:
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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.
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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
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Metadata
1 maintainer
Release files for pyxit 1.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| pyxit-1.1.5.tar.gz | 8.0 kB | Details |
Release files / pyxit-1.1.5.tar.gz
| Download URL | pyxit-1.1.5.tar.gz |
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| Size | 8.0 kB |
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