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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Salient Region Detector example
This notebook shows how to use the main functionality of the salientregions package, namely the SalientDetector.
Step1:  First, we load the image and show it.
Step2:  Now we create a SalientDetector object, with some parameters.
Step3:  We ask the SalientDetector to detect all types of regions
Step4:  We can also output the regions as ellipses
Step5:  We can also save the elliptic parameters in text files. Below is an example of saving the polynomial coefficients of all regions represented as ellipses.
Step6:  To load the saved features from file, use the loading funciton
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Python Code:
import numpy as np
import cv2
import sys
import os
sys.path.insert(0, os.path.abspath('..'))
import salientregions as sr
%pylab inline
Explanation: Salient Region Detector example
This notebook shows how to use the main functionality of the salientregions package, namely the SalientDetector.
End of explanation
#Load the image
path_to_image = 'images/graffiti.jpg'
img = cv2.imread(path_to_image)
sr.show_image(img)
Explanation: First, we load the image and show it.
End of explanation
det = sr.SalientDetector(SE_size_factor=0.20,
                                lam_factor=4)
Explanation: Now we create a SalientDetector object, with some parameters.
End of explanation
regions = det.detect(img,
                    find_holes=True,
                    find_islands=True,
                    find_indentations=True,
                    find_protrusions=True, 
                    visualize=True)
print(regions.keys())
Explanation: We ask the SalientDetector to detect all types of regions:
End of explanation
num_regions, features_standard, features_poly = sr.binary_mask2ellipse_features(regions, min_square=False)
print("number of features per saliency type: ", num_regions)
sr.visualize_ellipses(regions["holes"], features_standard["holes"])
sr.visualize_ellipses(regions["islands"], features_standard["islands"])
sr.visualize_ellipses(regions["indentations"], features_standard["indentations"])
sr.visualize_ellipses(regions["protrusions"], features_standard["protrusions"])
#print "Elliptic polynomial features:",  features_poly
sr.visualize_elements_ellipses(img, features_standard);
Explanation: We can also output the regions as ellipses
End of explanation
total_num_regions = sr.save_ellipse_features2file(num_regions, features_poly, 'poly_features.txt')
print("total_num_regions", total_num_regions)
Explanation: We can also save the elliptic parameters in text files. Below is an example of saving the polynomial coefficients of all regions represented as ellipses.
End of explanation
import sys, os
sys.path.insert(0, os.path.abspath('..'))
import salientregions as sr
total_num_regions, num_regions, features = sr.load_ellipse_features_from_file('poly_features.txt')
print("total_num_regions: ", total_num_regions)
print("number of features per saliency type: ", num_regions)
#print "features: ", features
Explanation: To load the saved features from file, use the loading funciton:
End of explanation
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