46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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'''
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This sample demonstrates structured edge detection and edgeboxes.
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Usage:
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edgeboxes_demo.py [<model>] [<input_image>]
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'''
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import cv2 as cv
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import numpy as np
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import sys
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if __name__ == '__main__':
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print(__doc__)
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model = sys.argv[1]
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im = cv.imread(sys.argv[2])
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edge_detection = cv.ximgproc.createStructuredEdgeDetection(model)
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rgb_im = cv.cvtColor(im, cv.COLOR_BGR2RGB)
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edges = edge_detection.detectEdges(np.float32(rgb_im) / 255.0)
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orimap = edge_detection.computeOrientation(edges)
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edges = edge_detection.edgesNms(edges, orimap)
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edge_boxes = cv.ximgproc.createEdgeBoxes()
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edge_boxes.setMaxBoxes(30)
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boxes = edge_boxes.getBoundingBoxes(edges, orimap)
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boxes, scores = edge_boxes.getBoundingBoxes(edges, orimap)
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if len(boxes) > 0:
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boxes_scores = zip(boxes, scores)
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for b_s in boxes_scores:
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box = b_s[0]
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x, y, w, h = box
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cv.rectangle(im, (x, y), (x+w, y+h), (0, 255, 0), 1, cv.LINE_AA)
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score = b_s[1][0]
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cv.putText(im, "{:.2f}".format(score), (x, y), cv.FONT_HERSHEY_PLAIN, 0.8, (255, 255, 255), 1, cv.LINE_AA)
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print("Box at (x,y)=({:d},{:d}); score={:f}".format(x, y, score))
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cv.imshow("edges", edges)
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cv.imshow("edgeboxes", im)
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cv.waitKey(0)
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cv.destroyAllWindows()
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