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6 changes: 3 additions & 3 deletions README.rst
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Expand Up @@ -3,8 +3,8 @@ Calibration Framework
Calibration framework in Python 3 for Neural Networks.
For full API reference documentation, visit https://fabiankueppers.github.io/calibration-framework.

Copyright (C) 2019-2020 Ruhr West University of Applied Sciences, Bottrop, Germany
AND Visteon Electronics Germany GmbH, Kerpen, Germany
Copyright (C) 2019-2021 Ruhr West University of Applied Sciences, Bottrop, Germany
AND Elektronische Fahrwerksysteme GmbH, Gaimersheim, Germany

This Source Code Form is subject to the terms of the Mozilla Public
License, v. 2.0. If a copy of the MPL was not distributed with this
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.. [9] Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M. and Duchesnay, E.: "Scikit-learn: Machine Learning in Python." In Journal of Machine Learning Research, volume 12 pp 2825-2830, 2011.
.. [10] Platt, John: "Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods." Advances in large margin classifiers, 10(3): 61–74, 1999.
.. [11] Neumann, Lukas, Andrew Zisserman, and Andrea Vedaldi: "Relaxed Softmax: Efficient Confidence Auto-Calibration for Safe Pedestrian Detection." Conference on Neural Information Processing Systems (NIPS) Workshop MLITS, 2018.
.. [12] Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff: "Multivariate Confidence Calibration for Object Detection"." The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, in press, 2020
.. [12] Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff: "Multivariate Confidence Calibration for Object Detection"." The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020
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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: 5be3a53f752ff4e87c219f0d2ef49b4a
config: 78e6332c97a52e1ea66f816824406211
tags: 645f666f9bcd5a90fca523b33c5a78b7
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Expand Up @@ -354,7 +354,7 @@ <h3>Navigation</h3>
</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -355,7 +355,7 @@ <h3>Navigation</h3>
</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -93,7 +93,7 @@ <h1>netcal.binning.HistogramBinning<a class="headerlink" href="#netcal-binning-h
<dt class="label" id="id7"><span class="brackets"><a class="fn-backref" href="#id3">3</a></span></dt>
<dd><p>Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff:
“Multivariate Confidence Calibration for Object Detection.”
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, in press.</p>
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.</p>
</dd>
</dl>
<p class="rubric">Methods</p>
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</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -329,7 +329,7 @@ <h3>Navigation</h3>
</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -83,7 +83,7 @@ <h1>netcal.metrics.ACE<a class="headerlink" href="#netcal-metrics-ace" title="Pe
<dt class="label" id="id4"><span class="brackets"><a class="fn-backref" href="#id2">2</a></span></dt>
<dd><p>Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff:
“Multivariate Confidence Calibration for Object Detection.”
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, in press.</p>
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.</p>
</dd>
</dl>
<p class="rubric">Methods</p>
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</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -84,7 +84,7 @@ <h1>netcal.metrics.ECE<a class="headerlink" href="#netcal-metrics-ece" title="Pe
<dt class="label" id="id4"><span class="brackets"><a class="fn-backref" href="#id2">2</a></span></dt>
<dd><p>Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff:
“Multivariate Confidence Calibration for Object Detection.”
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, in press.</p>
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.</p>
</dd>
</dl>
<p class="rubric">Methods</p>
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</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -82,7 +82,7 @@ <h1>netcal.metrics.MCE<a class="headerlink" href="#netcal-metrics-mce" title="Pe
<dt class="label" id="id4"><span class="brackets"><a class="fn-backref" href="#id2">2</a></span></dt>
<dd><p>Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff:
“Multivariate Confidence Calibration for Object Detection.”
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, in press.</p>
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.</p>
</dd>
</dl>
<p class="rubric">Methods</p>
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</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -89,7 +89,7 @@ <h1>netcal.presentation.ReliabilityDiagram<a class="headerlink" href="#netcal-pr
<dt class="label" id="id7"><span class="brackets"><a class="fn-backref" href="#id3">3</a></span></dt>
<dd><p>Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff:
“Multivariate Confidence Calibration for Object Detection.”
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, in press.</p>
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.</p>
</dd>
</dl>
<p class="rubric">Methods</p>
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</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -134,7 +134,7 @@ <h3>Navigation</h3>
</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -119,7 +119,7 @@ <h1>netcal.scaling.BetaCalibration<a class="headerlink" href="#netcal-scaling-be
<dt class="label" id="id5"><span class="brackets"><a class="fn-backref" href="#id2">2</a></span></dt>
<dd><p>Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff:
“Multivariate Confidence Calibration for Object Detection.”
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, in press.</p>
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.</p>
</dd>
</dl>
<p class="rubric">Methods</p>
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</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -117,7 +117,7 @@ <h1>netcal.scaling.BetaCalibrationDependent<a class="headerlink" href="#netcal-s
<dt class="label" id="id4"><span class="brackets">1</span><span class="fn-backref">(<a href="#id1">1</a>,<a href="#id2">2</a>)</span></dt>
<dd><p>Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff:
“Multivariate Confidence Calibration for Object Detection.”
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, in press.</p>
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.</p>
</dd>
<dt class="label" id="id5"><span class="brackets"><a class="fn-backref" href="#id3">2</a></span></dt>
<dd><p>Libby, David L., and Melvin R. Novick:
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</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -120,7 +120,7 @@ <h1>netcal.scaling.LogisticCalibration<a class="headerlink" href="#netcal-scalin
<dt class="label" id="id10"><span class="brackets"><a class="fn-backref" href="#id3">3</a></span></dt>
<dd><p>Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff:
“Multivariate Confidence Calibration for Object Detection.”
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, in press.</p>
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.</p>
</dd>
</dl>
<p class="rubric">Methods</p>
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</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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<dt class="label" id="id3"><span class="brackets">1</span><span class="fn-backref">(<a href="#id1">1</a>,<a href="#id2">2</a>)</span></dt>
<dd><p>Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff:
“Multivariate Confidence Calibration for Object Detection.”
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, in press.</p>
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.</p>
</dd>
</dl>
<p class="rubric">Methods</p>
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</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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Expand Up @@ -83,7 +83,7 @@ <h1>netcal.scaling.TemperatureScaling<a class="headerlink" href="#netcal-scaling
<dt class="label" id="id4"><span class="brackets"><a class="fn-backref" href="#id2">2</a></span></dt>
<dd><p>Fabian Küppers, Jan Kronenberger, Amirhossein Shantia and Anselm Haselhoff:
“Multivariate Confidence Calibration for Object Detection.”
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, in press.</p>
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.</p>
</dd>
</dl>
<p class="rubric">Methods</p>
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</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
</div>
</body>
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</ul>
</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
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&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
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&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
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&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
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&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
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&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 2.4.4.
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&#169; Copyright 2019-2020, Ruhr West University of Applied Sciences, Bottrop, Germany AND Visteon Electronics Germany GmbH, Kerpen, Germany.
&#169; Copyright 2019-2021, Ruhr West University of Applied Sciences, Bottrop, Germany AND Elektronische Fahrwerksysteme GmbH, Gaimersheim Germany.
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