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Open Source Computer Vision Library
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59 lines
1.3 KiB
59 lines
1.3 KiB
#!/usr/bin/env python |
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''' |
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browse.py |
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========= |
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Sample shows how to implement a simple hi resolution image navigation |
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Usage |
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----- |
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browse.py [image filename] |
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''' |
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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 sys |
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def main(): |
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if len(sys.argv) > 1: |
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fn = cv.samples.findFile(sys.argv[1]) |
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print('loading %s ...' % fn) |
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img = cv.imread(fn) |
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if img is None: |
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print('Failed to load fn:', fn) |
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sys.exit(1) |
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else: |
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sz = 4096 |
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print('generating %dx%d procedural image ...' % (sz, sz)) |
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img = np.zeros((sz, sz), np.uint8) |
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track = np.cumsum(np.random.rand(500000, 2)-0.5, axis=0) |
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track = np.int32(track*10 + (sz/2, sz/2)) |
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cv.polylines(img, [track], 0, 255, 1, cv.LINE_AA) |
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small = img |
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for _i in range(3): |
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small = cv.pyrDown(small) |
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def onmouse(event, x, y, flags, param): |
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h, _w = img.shape[:2] |
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h1, _w1 = small.shape[:2] |
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x, y = 1.0*x*h/h1, 1.0*y*h/h1 |
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zoom = cv.getRectSubPix(img, (800, 600), (x+0.5, y+0.5)) |
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cv.imshow('zoom', zoom) |
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cv.imshow('preview', small) |
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cv.setMouseCallback('preview', onmouse) |
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cv.waitKey() |
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print('Done') |
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if __name__ == '__main__': |
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print(__doc__) |
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main() |
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cv.destroyAllWindows()
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