Open Source Computer Vision Library https://opencv.org/
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'''
browse.py
=========
Sample shows how to implement a simple hi resolution image navigation
Usage
-----
browse.py [image filename]
'''
import numpy as np
import cv2
import sys
if __name__ == '__main__':
print 'This sample shows how to implement a simple hi resolution image navigation.'
print 'USAGE: browse.py [image filename]'
print
if len(sys.argv) > 1:
fn = sys.argv[1]
print 'loading %s ...' % fn
img = cv2.imread(fn)
else:
sz = 4096
print 'generating %dx%d procedural image ...' % (sz, sz)
img = np.zeros((sz, sz), np.uint8)
track = np.cumsum(np.random.rand(500000, 2)-0.5, axis=0)
track = np.int32(track*10 + (sz/2, sz/2))
cv2.polylines(img, [track], 0, 255, 1, cv2.CV_AA)
small = img
for i in xrange(3):
small = cv2.pyrDown(small)
def onmouse(event, x, y, flags, param):
h, w = img.shape[:2]
h1, w1 = small.shape[:2]
x, y = 1.0*x*h/h1, 1.0*y*h/h1
zoom = cv2.getRectSubPix(img, (800, 600), (x+0.5, y+0.5))
cv2.imshow('zoom', zoom)
cv2.imshow('preview', small)
cv2.setMouseCallback('preview', onmouse)
cv2.waitKey()