From df73f548b2a1191c097718f855242daffcd63386 Mon Sep 17 00:00:00 2001
From: Vedrana KRIVOKUCA <vkrivokuca@italix32.idiap.ch>
Date: Thu, 20 Apr 2017 15:20:28 +0200
Subject: [PATCH] Clean up IVector_BioHash
---
bob/bio/gmm/algorithm/IVector_BioHash.py | 23 ++++++-----------------
1 file changed, 6 insertions(+), 17 deletions(-)
diff --git a/bob/bio/gmm/algorithm/IVector_BioHash.py b/bob/bio/gmm/algorithm/IVector_BioHash.py
index 008c079..72fb47e 100644
--- a/bob/bio/gmm/algorithm/IVector_BioHash.py
+++ b/bob/bio/gmm/algorithm/IVector_BioHash.py
@@ -8,17 +8,6 @@ import numpy
import bob.bio.base
import scipy
-def load_algorithm(algorithm):
- if algorithm is None:
- raise ValueError("Please provide the name of a valid algorithm.")
- elif isinstance(algorithm, str):
- algorithm = bob.bio.base.load_resource(algorithm, 'algorithm')
- elif isinstance(algorithm, Algorithm):
- algorithm = algorithm
- else:
- raise ValueError("The provided algorithm type is not understood.")
-
- return algorithm
class IVector_BioHash (IVector):
@@ -29,18 +18,18 @@ class IVector_BioHash (IVector):
IVector.__init__(
self,
requires_seed = True,
- subspace_dimension_of_t = subspace_dimension_of_t, # dim of ivector - try setting to 400
+ subspace_dimension_of_t = subspace_dimension_of_t, # dimension of ivector
update_sigma = True,
tv_training_iterations = 25, # Number of EM iterations for the TV training
number_of_gaussians = 256,
training_threshold = 0.0,
- use_lda = use_lda, # F
- use_wccn = use_wccn, # F
- use_plda = use_plda, # F
+ use_lda = use_lda,
+ use_wccn = use_wccn,
+ use_plda = use_plda,
lda_dim = 50,
- plda_dim_F = 10, # remove
+ plda_dim_F = 10,
plda_dim_G = 50,
- plda_training_iterations = 200, # remove
+ plda_training_iterations = 200,
**kwargs)
# Initializing attributes of child class, IVector_BioHash
self.length = length
--
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