Confidence-Ellipse now shows 95% interval (and fixed edge cases)
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@ -381,13 +381,13 @@ class ColumbusEnv(gym.Env):
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pygame.draw.circle(self.screen, smolcol, (20+int(60*x) +
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pygame.draw.circle(self.screen, smolcol, (20+int(60*x) +
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self.joystick_offset[0], 20+int(60*y)+self.joystick_offset[1]), 20, width=0)
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self.joystick_offset[0], 20+int(60*y)+self.joystick_offset[1]), 20, width=0)
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def _draw_confidence_ellipse(self, chol, forceDraw=False, seconds=1):
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def _draw_confidence_ellipse(self, chol, forceDraw=False, seconds=0.5):
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# The 'seconds'-parameter only really makes sense, when using control_type='SPEED',
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# The 'seconds'-parameter only really makes sense, when using control_type='SPEED',
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# you can still use it to scale the cov-ellipse when using control_type='ACC',
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# you can still use it to scale the cov-ellipse when using control_type='ACC',
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# but it's relation to 'seconds' is no longer there...
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# but it's relation to 'seconds' is no longer there...
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if self.draw_confidence_ellipse and (self.visible or forceDraw):
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if self.draw_confidence_ellipse and (self.visible or forceDraw):
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col = (255, 255, 255)
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col = (255, 255, 255)
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f = seconds/self.speed_fac
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f = seconds*self.speed_fac*self.fps*max(self.width, self.height)
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while len(chol.shape) > 2:
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while len(chol.shape) > 2:
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chol = chol[0]
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chol = chol[0]
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@ -399,21 +399,20 @@ class ColumbusEnv(gym.Env):
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L, V = th.linalg.eig(cov)
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L, V = th.linalg.eig(cov)
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L, V = L.real, V.real
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L, V = L.real, V.real
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w, h = int(abs(L[0].item()*f))+1, int(abs(L[1].item()*f))+1
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# 5.911 is the magic-number to get a 95%-confidence interval
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# In theory we would have to solve:
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l1, l2 = int(abs(math.sqrt(L[0].item()*5.911)*f)) + \
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# R = [[cos, -sin],[sin, cos]]
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1, int(abs(math.sqrt(L[1].item()*5.911)*f))+1
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# But we only use the -sin term.
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# Because of this our calculated angle might be wrong
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# by periods of 180°
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# But since an ellipsoid does not change under such an 'error',
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# we don't care
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# ang1 = int(math.acos(V[0, 0])/math.pi*360)
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ang2 = int(math.asin(-V[0, 1])/math.pi*360)
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# ang3 = int(math.asin(V[1, 0])/math.pi*360)
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ang = ang2
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# print(cov)
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if l1 >= l2:
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# print(w, h, (ang1, ang2, ang3))
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w, h = l1, l2
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run, rise = V[0][0], V[0][1]
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else:
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w, h = l2, l1
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run, rise = V[1][0], V[1][1]
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ang = (math.atan(rise/run))/(2*math.pi)*360
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# print(w, h, (run, rise, ang))
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x, y = self.agent.pos
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x, y = self.agent.pos
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x, y = x*self.width, y*self.height
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x, y = x*self.width, y*self.height
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