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Open Source Computer Vision Library
https://opencv.org/
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67 lines
1.6 KiB
67 lines
1.6 KiB
9 years ago
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#!/usr/bin/env python
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# Python 2/3 compatibility
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from __future__ import print_function
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import numpy as np
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from numpy import pi, sin, cos
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import cv2
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defaultSize = 512
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class TestSceneRender():
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def __init__(self, bgImg = None, **params):
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self.time = 0.0
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self.timeStep = 1.0 / 30.0
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if bgImg != None:
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self.sceneBg = bgImg.copy()
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else:
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self.sceneBg = np.zeros((defaultSize, defaultSize, 3), np.uint8)
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self.w = self.sceneBg.shape[0]
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self.h = self.sceneBg.shape[1]
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self.initialRect = np.array([ (self.h/2, self.w/2), (self.h/2, self.w/2 + self.w/10),
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(self.h/2 + self.h/10, self.w/2 + self.w/10), (self.h/2 + self.h/10, self.w/2)])
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self.currentRect = self.initialRect
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def setInitialRect(self, rect):
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self.initialRect = rect
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def getCurrentRect(self):
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x0, y0 = self.currentRect[0]
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x1, y1 = self.currentRect[2]
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return np.array([x0, y0, x1, y1])
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def getNextFrame(self):
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self.time += self.timeStep
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img = self.sceneBg.copy()
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self.currentRect = self.initialRect + np.int( 30*cos(self.time) + 50*sin(self.time/3))
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cv2.fillConvexPoly(img, self.currentRect, (0, 0, 255))
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return img
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def resetTime(self):
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self.time = 0.0
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if __name__ == '__main__':
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backGr = cv2.imread('../../../samples/data/lena.jpg')
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render = TestSceneRender(backGr)
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while True:
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img = render.getNextFrame()
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cv2.imshow('img', img)
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ch = 0xFF & cv2.waitKey(3)
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if ch == 27:
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break
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cv2.destroyAllWindows()
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