Open Source Computer Vision Library https://opencv.org/
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#!/usr/bin/env python
'''
browse.py
=========
Sample shows how to implement a simple hi resolution image navigation
Usage
-----
browse.py [image filename]
'''
# Python 2/3 compatibility
from __future__ import print_function
import sys
PY3 = sys.version_info[0] == 3
if PY3:
xrange = range
import numpy as np
import cv2 as cv
# built-in modules
import sys
def main():
if len(sys.argv) > 1:
fn = cv.samples.findFile(sys.argv[1])
print('loading %s ...' % fn)
img = cv.imread(fn)
if img is None:
print('Failed to load fn:', fn)
sys.exit(1)
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))
cv.polylines(img, [track], 0, 255, 1, cv.LINE_AA)
small = img
for i in xrange(3):
small = cv.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 = cv.getRectSubPix(img, (800, 600), (x+0.5, y+0.5))
cv.imshow('zoom', zoom)
cv.imshow('preview', small)
cv.setMouseCallback('preview', onmouse)
cv.waitKey()
print('Done')
if __name__ == '__main__':
print(__doc__)
main()
cv.destroyAllWindows()