mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
119 lines
3.9 KiB
119 lines
3.9 KiB
#!/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 + np.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()
|
|
|