88 lines
3.1 KiB
Python
Executable file
88 lines
3.1 KiB
Python
Executable file
#!/usr/bin/env python
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'''
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mouse_and_match.py [-i path | --input path: default ../data/]
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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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SPACE for next image
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ESC to exit
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'''
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# Python 2/3 compatibility
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from __future__ import print_function
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import numpy as np
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import cv2 as cv
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# built-in modules
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import os
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import sys
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import glob
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import argparse
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from math import *
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class App():
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drag_start = None
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sel = (0,0,0,0)
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def onmouse(self, event, x, y, flags, param):
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if event == cv.EVENT_LBUTTONDOWN:
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self.drag_start = x, y
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self.sel = (0,0,0,0)
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elif event == cv.EVENT_LBUTTONUP:
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if self.sel[2] > self.sel[0] and self.sel[3] > self.sel[1]:
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patch = self.gray[self.sel[1]:self.sel[3], self.sel[0]:self.sel[2]]
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result = cv.matchTemplate(self.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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self.drag_start = None
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elif self.drag_start:
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#print flags
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if flags & cv.EVENT_FLAG_LBUTTON:
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minpos = min(self.drag_start[0], x), min(self.drag_start[1], y)
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maxpos = max(self.drag_start[0], x), max(self.drag_start[1], y)
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self.sel = (minpos[0], minpos[1], maxpos[0], maxpos[1])
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img = cv.cvtColor(self.gray, cv.COLOR_GRAY2BGR)
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cv.rectangle(img, (self.sel[0], self.sel[1]), (self.sel[2], self.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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self.drag_start = None
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def run(self):
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parser = argparse.ArgumentParser(description='Demonstrate mouse interaction with images')
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parser.add_argument("-i","--input", default='../data/', 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", self.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 extension
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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 is None:
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continue
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self.sel = (0,0,0,0)
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self.drag_start = None
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self.gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
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cv.imshow("gray", self.gray)
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if cv.waitKey() == 27:
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break
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print('Done')
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if __name__ == '__main__':
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print(__doc__)
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App().run()
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cv.destroyAllWindows()
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