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Open Source Computer Vision Library
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72 lines
2.6 KiB
72 lines
2.6 KiB
#!/usr/bin/env python |
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''' |
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mouse_and_match.py [-i path | --input path: default ./] |
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Demonstrate using a mouse to interact with an image: |
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Read in the images in a directory one by one |
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Allow the user to select parts of an image with a mouse |
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When they let go of the mouse, it correlates (using matchTemplate) that patch with the image. |
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ESC to exit |
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''' |
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import numpy as np |
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from math import * |
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import sys |
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import os |
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import glob |
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import argparse |
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import cv2 as cv |
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drag_start = None |
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sel = (0,0,0,0) |
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def onmouse(event, x, y, flags, param): |
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global drag_start, sel |
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if event == cv.EVENT_LBUTTONDOWN: |
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drag_start = x, y |
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sel = 0,0,0,0 |
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elif event == cv.EVENT_LBUTTONUP: |
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if sel[2] > sel[0] and sel[3] > sel[1]: |
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patch = gray[sel[1]:sel[3],sel[0]:sel[2]] |
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result = cv.matchTemplate(gray,patch,cv.TM_CCOEFF_NORMED) |
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result = np.abs(result)**3 |
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val, result = cv.threshold(result, 0.01, 0, cv.THRESH_TOZERO) |
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result8 = cv.normalize(result,None,0,255,cv.NORM_MINMAX,cv.CV_8U) |
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cv.imshow("result", result8) |
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drag_start = None |
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elif drag_start: |
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#print flags |
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if flags & cv.EVENT_FLAG_LBUTTON: |
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minpos = min(drag_start[0], x), min(drag_start[1], y) |
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maxpos = max(drag_start[0], x), max(drag_start[1], y) |
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sel = minpos[0], minpos[1], maxpos[0], maxpos[1] |
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img = cv.cvtColor(gray, cv.COLOR_GRAY2BGR) |
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cv.rectangle(img, (sel[0], sel[1]), (sel[2], sel[3]), (0,255,255), 1) |
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cv.imshow("gray", img) |
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else: |
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print "selection is complete" |
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drag_start = None |
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if __name__ == '__main__': |
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parser = argparse.ArgumentParser(description='Demonstrate mouse interaction with images') |
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parser.add_argument("-i","--input", default='./', help="Input directory.") |
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args = parser.parse_args() |
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path = args.input |
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cv.namedWindow("gray",1) |
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cv.setMouseCallback("gray", onmouse) |
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'''Loop through all the images in the directory''' |
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for infile in glob.glob( os.path.join(path, '*.*') ): |
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ext = os.path.splitext(infile)[1][1:] #get the filename extenstion |
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if ext == "png" or ext == "jpg" or ext == "bmp" or ext == "tiff" or ext == "pbm": |
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print infile |
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img=cv.imread(infile,1) |
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if img == None: |
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continue |
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sel = (0,0,0,0) |
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drag_start = None |
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gray=cv.cvtColor(img, cv.COLOR_BGR2GRAY) |
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cv.imshow("gray",gray) |
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if (cv.waitKey() & 255) == 27: |
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break |
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cv2.destroyAllWindows()
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