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Open Source Computer Vision Library
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119 lines
3.9 KiB
119 lines
3.9 KiB
#!/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, fgImg = None, deformation = False, noise = 0.0, speed = 0.25, **params): |
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self.time = 0.0 |
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self.timeStep = 1.0 / 30.0 |
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self.foreground = fgImg |
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self.deformation = deformation |
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self.noise = noise |
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self.speed = speed |
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if bgImg is not None: |
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self.sceneBg = bgImg.copy() |
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else: |
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self.sceneBg = np.zeros(defaultSize, defaultSize, 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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if fgImg is not None: |
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self.foreground = fgImg.copy() |
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self.center = self.currentCenter = (int(self.w/2 - fgImg.shape[0]/2), int(self.h/2 - fgImg.shape[1]/2)) |
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self.xAmpl = self.sceneBg.shape[0] - (self.center[0] + fgImg.shape[0]) |
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self.yAmpl = self.sceneBg.shape[1] - (self.center[1] + fgImg.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)]).astype(int) |
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self.currentRect = self.initialRect |
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np.random.seed(10) |
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def getXOffset(self, time): |
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return int(self.xAmpl*cos(time*self.speed)) |
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def getYOffset(self, time): |
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return int(self.yAmpl*sin(time*self.speed)) |
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def setInitialRect(self, rect): |
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self.initialRect = rect |
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def getRectInTime(self, time): |
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if self.foreground is not None: |
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tmp = np.array(self.center) + np.array((self.getXOffset(time), self.getYOffset(time))) |
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x0, y0 = tmp |
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x1, y1 = tmp + self.foreground.shape[0:2] |
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return np.array([y0, x0, y1, x1]) |
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else: |
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x0, y0 = self.initialRect[0] + np.array((self.getXOffset(time), self.getYOffset(time))) |
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x1, y1 = self.initialRect[2] + np.array((self.getXOffset(time), self.getYOffset(time))) |
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return np.array([y0, x0, y1, x1]) |
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def getCurrentRect(self): |
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if self.foreground is not None: |
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x0 = self.currentCenter[0] |
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y0 = self.currentCenter[1] |
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x1 = self.currentCenter[0] + self.foreground.shape[0] |
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y1 = self.currentCenter[1] + self.foreground.shape[1] |
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return np.array([y0, x0, y1, x1]) |
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else: |
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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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img = self.sceneBg.copy() |
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if self.foreground is not None: |
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self.currentCenter = (self.center[0] + self.getXOffset(self.time), self.center[1] + self.getYOffset(self.time)) |
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img[self.currentCenter[0]:self.currentCenter[0]+self.foreground.shape[0], |
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self.currentCenter[1]:self.currentCenter[1]+self.foreground.shape[1]] = self.foreground |
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else: |
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self.currentRect = self.initialRect + np.int( 30*cos(self.time) + 50*sin(self.time/3)) |
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if self.deformation: |
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self.currentRect[1:3] += int(self.h/20*cos(self.time)) |
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cv2.fillConvexPoly(img, self.currentRect, (0, 0, 255)) |
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self.time += self.timeStep |
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if self.noise: |
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noise = np.zeros(self.sceneBg.shape, np.int8) |
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cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise) |
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img = cv2.add(img, noise, dtype=cv2.CV_8UC3) |
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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, noise = 0.5) |
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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 = 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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