Loading a Supervised Segmenter and Segmenting an Image

This code snippet shows how to load a trained supervised segmenter and how to segment a new image.

C++

#include <eVision/EasyDeepLearning/EasySegment/ESupervisedSegmenter.h>

using namespace eVision;
using namespace eVision::EasyDeepLearning;

// Image
EImageBW8 image;
image.Load("my_image_path");

// Segmenter
ESupervisedSegmenter segmenter;
segmenter.Load("segement_path");

// Apply the segmenter on the image
ESupervisedSegmenterResult r = segmenter.Apply(image);

// Retrieve the probability map
EImageBW8 probabilityMap = r.GetProbabilityMap("label 1");

C#

using eVision;
using eVision.EasyDeepLearning;

// Image and segmenter constructor
ESupervisedSegmenter segmenter = new ESupervisedSegmenter();
EImageBW8 image = new EImageBW8();

// Load segmenter and image
segmenter.Load("segment_path");
image.Load("image_path");

// Apply the segmenter on the image
ESupervisedSegmenterResult result = segmenter.Apply(image);

// Retrieve the probability map
EImageBW8 probabilityMap = result.GetProbabilityMap("label 1");

Python

import eVision
from eVision import EasyDeepLearning as edl

# Image and segmenter constructor
segmenter = edl.ESupervisedSegmenter()
image = eVision.EImageBW8()

# Load segmenter and image
segmenter.Load("segment_path")
image.Load("image_path")

# Apply the segmenter on the image
result = segmenter.Apply(image)

# Retrieve the probability map
probability_map = result.GetProbabilityMap("label 1")