Open Source Computer Vision Library https://opencv.org/
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#!/usr/bin/env python
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
from numpy import pi, sin, cos
import cv2 as cv
defaultSize = 512
class TestSceneRender():
def __init__(self, bgImg = None, fgImg = None, deformation = False, noise = 0.0, speed = 0.25, **params):
self.time = 0.0
self.timeStep = 1.0 / 30.0
self.foreground = fgImg
self.deformation = deformation
self.noise = noise
self.speed = speed
if bgImg is not None:
self.sceneBg = bgImg.copy()
else:
self.sceneBg = np.zeros(defaultSize, defaultSize, np.uint8)
self.w = self.sceneBg.shape[0]
self.h = self.sceneBg.shape[1]
if fgImg is not None:
self.foreground = fgImg.copy()
self.center = self.currentCenter = (int(self.w/2 - fgImg.shape[0]/2), int(self.h/2 - fgImg.shape[1]/2))
self.xAmpl = self.sceneBg.shape[0] - (self.center[0] + fgImg.shape[0])
self.yAmpl = self.sceneBg.shape[1] - (self.center[1] + fgImg.shape[1])
self.initialRect = np.array([ (self.h/2, self.w/2), (self.h/2, self.w/2 + self.w/10),
(self.h/2 + self.h/10, self.w/2 + self.w/10), (self.h/2 + self.h/10, self.w/2)]).astype(int)
self.currentRect = self.initialRect
np.random.seed(10)
def getXOffset(self, time):
return int(self.xAmpl*cos(time*self.speed))
def getYOffset(self, time):
return int(self.yAmpl*sin(time*self.speed))
def setInitialRect(self, rect):
self.initialRect = rect
def getRectInTime(self, time):
if self.foreground is not None:
tmp = np.array(self.center) + np.array((self.getXOffset(time), self.getYOffset(time)))
x0, y0 = tmp
x1, y1 = tmp + self.foreground.shape[0:2]
return np.array([y0, x0, y1, x1])
else:
x0, y0 = self.initialRect[0] + np.array((self.getXOffset(time), self.getYOffset(time)))
x1, y1 = self.initialRect[2] + np.array((self.getXOffset(time), self.getYOffset(time)))
return np.array([y0, x0, y1, x1])
def getCurrentRect(self):
if self.foreground is not None:
x0 = self.currentCenter[0]
y0 = self.currentCenter[1]
x1 = self.currentCenter[0] + self.foreground.shape[0]
y1 = self.currentCenter[1] + self.foreground.shape[1]
return np.array([y0, x0, y1, x1])
else:
x0, y0 = self.currentRect[0]
x1, y1 = self.currentRect[2]
return np.array([x0, y0, x1, y1])
def getNextFrame(self):
img = self.sceneBg.copy()
if self.foreground is not None:
self.currentCenter = (self.center[0] + self.getXOffset(self.time), self.center[1] + self.getYOffset(self.time))
img[self.currentCenter[0]:self.currentCenter[0]+self.foreground.shape[0],
self.currentCenter[1]:self.currentCenter[1]+self.foreground.shape[1]] = self.foreground
else:
self.currentRect = self.initialRect + int( 30*cos(self.time) + 50*sin(self.time/3))
if self.deformation:
self.currentRect[1:3] += int(self.h/20*cos(self.time))
cv.fillConvexPoly(img, self.currentRect, (0, 0, 255))
self.time += self.timeStep
if self.noise:
noise = np.zeros(self.sceneBg.shape, np.int8)
cv.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)
img = cv.add(img, noise, dtype=cv.CV_8UC3)
return img
def resetTime(self):
self.time = 0.0
if __name__ == '__main__':
backGr = cv.imread('../../../samples/data/lena.jpg')
render = TestSceneRender(backGr, noise = 0.5)
while True:
img = render.getNextFrame()
cv.imshow('img', img)
ch = cv.waitKey(3)
if ch == 27:
break
cv.destroyAllWindows()