def _detect_probability(self, prior):
mu, sigma, beta = self.vb.update(measurement='No Detection',
likelihood=self.detection_model,
prior=prior,
use_LWIS=True,
poly=self.detection_model.poly)
gm = GaussianMixture(beta, mu, sigma)
gm.camera_viewcone = self.detection_model.poly # for plotting
return gm
def _detect_probability(self, prior):
mu, sigma, beta = self.vb.update(measurement='No Detection',
likelihood=self.detection_model,
prior=prior,
use_LWIS=True,
poly=self.detection_model.poly
)
gm = GaussianMixture(beta, mu, sigma)
gm.camera_viewcone = self.detection_model.poly # for plotting
return gm
