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