Open Source Computer Vision Library https://opencv.org/
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#!/usr/bin/env python
'''
mouse_and_match.py [-i path | --input path: default ./]
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.
ESC to exit
'''
import numpy as np
from math import *
import sys
import os
import glob
import argparse
import cv2 as cv
drag_start = None
sel = (0,0,0,0)
def onmouse(event, x, y, flags, param):
global drag_start, sel
if event == cv.EVENT_LBUTTONDOWN:
drag_start = x, y
sel = 0,0,0,0
elif event == cv.EVENT_LBUTTONUP:
if sel[2] > sel[0] and sel[3] > sel[1]:
patch = gray[sel[1]:sel[3],sel[0]:sel[2]]
result = cv.matchTemplate(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)
drag_start = None
elif drag_start:
#print flags
if flags & cv.EVENT_FLAG_LBUTTON:
minpos = min(drag_start[0], x), min(drag_start[1], y)
maxpos = max(drag_start[0], x), max(drag_start[1], y)
sel = minpos[0], minpos[1], maxpos[0], maxpos[1]
img = cv.cvtColor(gray, cv.COLOR_GRAY2BGR)
cv.rectangle(img, (sel[0], sel[1]), (sel[2], sel[3]), (0,255,255), 1)
cv.imshow("gray", img)
else:
print "selection is complete"
drag_start = None
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Demonstrate mouse interaction with images')
parser.add_argument("-i","--input", default='./', help="Input directory.")
args = parser.parse_args()
path = args.input
cv.namedWindow("gray",1)
cv.setMouseCallback("gray", 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 extenstion
if ext == "png" or ext == "jpg" or ext == "bmp" or ext == "tiff" or ext == "pbm":
print infile
img=cv.imread(infile,1)
if img == None:
continue
sel = (0,0,0,0)
drag_start = None
gray=cv.cvtColor(img, cv.COLOR_BGR2GRAY)
cv.imshow("gray",gray)
if (cv.waitKey() & 255) == 27:
break
cv2.destroyAllWindows()