# eVision

> eVision 26.10.0-beta.2.dev documentation


2026, Euresys

## Pages in this subsection

- [Deep Learning](index.html.md): This section provides code snippets for the Deep Learning **eVision** libraries.
- [EasyClassify](easyclassify/index.html.md): Browse code snippets demonstrating EasyClassify usage in C++, C#, and Python for eVision machine vision applications.
- [Creating a Dataset and Training a Classifier](easyclassify/creatingadatasetandtrainingaclassifier.html.md): This code snippet shows how to create a dataset, train a classifier and get the best performance metrics obtained during the training.
- [Learning Out Of Distribution parameters in a previously trained classifier](easyclassify/learnoodinpretrainedclassifier.html.md): This code snippet shows how to learn OOD parameters in a previously trained classifier.
- [Loading a Classifier and Classifying a New Image](easyclassify/loadingaclassifierandclassifyinganewimage.html.md): This code snippet shows how load a trained classifier and classify a new image.
- [Using Multithreading for Classification](easyclassify/usingmultithreadingforclassification.html.md): This code snippet shows how to parallelize the classification of new images on the CPU. This code snippet is in C++ 11 and requires a recent compiler.
- [Using Out Of Distribution scores during classification](easyclassify/usingood.html.md): This code snippet shows how to compute and use Out Of Distribution scores during classification.
- [EasySegment](easysegment/index.html.md): Browse code snippets demonstrating EasySegment usage in C++, C#, and Python for eVision machine vision applications.
- [Creating a Dataset and Training a Supervised Segmenter](easysegment/creatingadatasetandtrainingasupervisedsegmenter.html.md): This code snippet shows how to create a dataset, train a supervised segmenter and get the best performance metrics obtained during the training.
- [Creating a Dataset and Training an Unsupervised Segmenter](easysegment/creatingadatasetandtraininganunsupervisedsegmenter.html.md): This code snippet shows how to create a dataset, train an unsupervised segmenter and get the best performance metrics obtained during the training.
- [Loading a Supervised Segmenter and Segmenting an Image](easysegment/loadingasupervisedsegmenterandsegmentinganimage.html.md): This code snippet shows how to load a trained supervised segmenter and how to segment a new image.
- [Loading an Unsupervised Segmenter and Segmenting an Image](easysegment/loadinganunsupervisedsegmenterandsegmentinganimage.html.md): This code snippet shows how to load a trained unsupervised segmenter and how to segment a new image.
- [EasyLocate](easylocate/index.html.md): Browse code snippets demonstrating EasyLocate usage in C++, C#, and Python for eVision machine vision applications.
- [Creating a Dataset and Training a Locator](easylocate/creatingadatasetandtrainingalocator.html.md): This code snippet shows how to create a dataset, train a Locator and get the best performance metrics obtained during the training.
- [Loading a Locator and Locating Objects on a New Image](easylocate/loadingalocatorandlocatingobjectsonanewimage.html.md): This code snippet shows how to load a trained locator and how to locate objects on a new image.

## Optional

- [Top-level llms.txt](../../../llms.txt): Complete documentation index.