From 36b9ab2d16e84713231a736a7a15acf348df732d Mon Sep 17 00:00:00 2001
From: Tiago Freitas Pereira <tiagofrepereira@gmail.com>
Date: Thu, 30 Apr 2020 11:46:44 +0200
Subject: [PATCH] Removed the sketch of ZTNorm
---
.../pipelines/vanilla_biometrics/pipeline.py | 63 -------------------
1 file changed, 63 deletions(-)
diff --git a/bob/bio/base/pipelines/vanilla_biometrics/pipeline.py b/bob/bio/base/pipelines/vanilla_biometrics/pipeline.py
index 65db1d35..c5d0cbf4 100644
--- a/bob/bio/base/pipelines/vanilla_biometrics/pipeline.py
+++ b/bob/bio/base/pipelines/vanilla_biometrics/pipeline.py
@@ -148,69 +148,6 @@ class VanillaBiometrics(object):
return scores
-class VanillaBiometricsZTNorm(object):
- """
- Vanilla Biometrics Pipelines that runs ZT Score Normalization
- """
-
- def __init__(vanilla_pipeline):
- self.vanilla_pipeline = vanilla_pipeline
-
- def __call__(
- self,
- background_model_samples,
- biometric_reference_samples,
- probe_samples,
- z_probe_samples,
- t_biometric_reference_samples,
- allow_scoring_with_all_biometric_references=False,
- ):
- logger.info(
- f" >> Vanilla Biometrics: Training background model with pipeline {self.transformer}"
- )
-
- # Training background model (fit will return even if samples is ``None``,
- # in which case we suppose the algorithm is not trainable in any way)
- self.vanilla_pipeline.transformer = self.vanilla_pipeline.train_background_model(
- background_model_samples
- )
-
- logger.info(
- f" >> Creating biometric references with the biometric algorithm {self.biometric_algorithm}"
- )
-
- # Create biometric samples
- biometric_references = self.vanilla_pipeline.create_biometric_reference(
- biometric_reference_samples
- )
-
- logger.info(
- f" >> Computing scores with the biometric algorithm {self.biometric_algorithm}"
- )
-
- # Scores all probes
- scores = self.vanilla_pipeline.compute_scores(
- probe_samples,
- biometric_references,
- allow_scoring_with_all_biometric_references,
- )
-
- # Return a list of SampleSets containing the Z-Statistics per
- # biometric reference
- zstatistics = self.compute_zstatistics(
- zprobe_samples,
- biometric_references,
- allow_scoring_with_all_biometric_references,
- )
- z_norm_scores = self.znorm(scores, zstatistics)
-
-
- # Create t-biometric references
- t_biometric_references = self.vanilla_pipeline.create_biometric_reference(
- t_biometric_reference_samples
- )
-
-
def dask_vanilla_biometrics(pipeline, npartitions=None):
"""
Given a :py:class:`VanillaBiometrics`, wraps :py:meth:`VanillaBiometrics.transformer` and
--
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