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Expand Up @@ -351,7 +351,7 @@ will not work either.
interactive(children=(IntSlider(value=34, description='plane', max=59), Output()), _dom_classes=('widget-interact',))

<function explore_slices.<locals>.display_slice at 0x7f77604e67a0>
<function explore_slices.<locals>.display_slice at 0x7fc4f503a700>



Expand Down Expand Up @@ -473,7 +473,7 @@ slices interactively.
interactive(children=(IntSlider(value=34, description='plane', max=59), Output()), _dom_classes=('widget-interact',))

<function explore_slices.<locals>.display_slice at 0x7f77622c8680>
<function explore_slices.<locals>.display_slice at 0x7fc4f52e85e0>



Expand Down Expand Up @@ -584,7 +584,7 @@ Note that this works in a static HTML page!

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 7.323 seconds)
**Total running time of the script:** (0 minutes 7.356 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_3d_image_processing.py:
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Expand Up @@ -148,7 +148,7 @@ The `imshow` function can display both grayscale and RGB(A) 2D images.
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [64..4095].
<matplotlib.image.AxesImage object at 0x7f7760d40740>
<matplotlib.image.AxesImage object at 0x7fc4e6e0bf80>
Expand Down Expand Up @@ -381,7 +381,7 @@ The biologist's eye can spot that the two bright blobs (best seen in
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 7.028 seconds)
**Total running time of the script:** (0 minutes 7.041 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_3d_interaction.py:
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Expand Up @@ -524,7 +524,7 @@ we would get the pancake situation.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.286 seconds)
**Total running time of the script:** (0 minutes 1.276 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_3d_structure_tensor.py:
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Expand Up @@ -342,7 +342,7 @@ labeled individually.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.532 seconds)
**Total running time of the script:** (0 minutes 1.537 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_coins_segmentation.py:
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Expand Up @@ -178,7 +178,7 @@ much lower than the overlap coefficient.
.. code-block:: none
np.float64(0.23974310561285508)
np.float64(0.14847611453458265)
Expand Down Expand Up @@ -282,7 +282,7 @@ would give us a good measure of how strong the association is.

.. code-block:: none
PCC: 0.784, p-val: 0
PCC: 0.837, p-val: 0
Expand Down Expand Up @@ -310,7 +310,7 @@ case.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.234 seconds)
**Total running time of the script:** (0 minutes 1.185 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_colocalization_metrics.py:
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Expand Up @@ -495,7 +495,7 @@ the opening processing step, when removing fine-grained features.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 17.259 seconds)
**Total running time of the script:** (0 minutes 17.406 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_cornea_spot_inpainting.py:
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Expand Up @@ -134,7 +134,7 @@ using `OpenCV train cascade utility
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 0.338 seconds)
**Total running time of the script:** (0 minutes 0.340 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_face_detection.py:
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Expand Up @@ -615,7 +615,7 @@ time points, and then becomes roughly constant.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.720 seconds)
**Total running time of the script:** (0 minutes 1.737 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_fluorescence_nuclear_envelope.py:
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Expand Up @@ -282,15 +282,15 @@ Once the features are extracted, we can train and test a new classifier.

.. code-block:: none
Computing the full feature set took 35.117s, plus 1.648s training, for an AUC of 1.00. Computing the restricted feature set took 0.103s, plus 1.354s training, for an AUC of 1.00.
Computing the full feature set took 35.056s, plus 1.638s training, for an AUC of 1.00. Computing the restricted feature set took 0.096s, plus 1.368s training, for an AUC of 1.00.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 40.979 seconds)
**Total running time of the script:** (0 minutes 40.734 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_haar_extraction_selection_classification.py:
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Expand Up @@ -518,7 +518,7 @@ cells in this sample. Therefore, we estimate the mitotic index to be:
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 2.004 seconds)
**Total running time of the script:** (0 minutes 2.007 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_human_mitosis.py:
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Expand Up @@ -192,7 +192,7 @@ Blend

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 2.026 seconds)
**Total running time of the script:** (0 minutes 2.022 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_image_comparison.py:
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Expand Up @@ -70,7 +70,7 @@ functions only work on gray-scale or binary images, so we set ``as_gray=True``.
.. code-block:: none
<matplotlib.image.AxesImage object at 0x7f7763432540>
<matplotlib.image.AxesImage object at 0x7fc4f560c2c0>
Expand Down Expand Up @@ -464,7 +464,7 @@ Additional Resources
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.410 seconds)
**Total running time of the script:** (0 minutes 1.404 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_morphology.py:
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Expand Up @@ -199,7 +199,7 @@ to the position of the centroid!

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (1 minutes 0.397 seconds)
**Total running time of the script:** (1 minutes 0.285 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_pixel_graphs.py:
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Expand Up @@ -1104,7 +1104,7 @@ on increasing image size:

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 40.797 seconds)
**Total running time of the script:** (0 minutes 40.929 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_rank_filters.py:
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Expand Up @@ -515,7 +515,7 @@ polynomial to the scatter plot. The velocity is the first-order coefficient.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 2.668 seconds)
**Total running time of the script:** (0 minutes 2.537 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_solidification_tracking.py:
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2 changes: 1 addition & 1 deletion dev/_sources/auto_examples/applications/plot_text.rst.txt
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Expand Up @@ -83,7 +83,7 @@ just wants to write onto the image, this step is not necessary.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 0.796 seconds)
**Total running time of the script:** (0 minutes 0.797 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_text.py:
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Expand Up @@ -357,7 +357,7 @@ The example compares the local threshold with the global threshold.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 2.967 seconds)
**Total running time of the script:** (0 minutes 3.020 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_thresholding_guide.py:
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40 changes: 20 additions & 20 deletions dev/_sources/auto_examples/applications/sg_execution_times.rst.txt
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Expand Up @@ -6,7 +6,7 @@

Computation times
=================
**03:11.764** total execution time for 17 files **from auto_examples/applications**:
**03:11.613** total execution time for 17 files **from auto_examples/applications**:

.. container::

Expand All @@ -33,53 +33,53 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_auto_examples_applications_plot_pixel_graphs.py` (``plot_pixel_graphs.py``)
- 01:00.397
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_haar_extraction_selection_classification.py` (``plot_haar_extraction_selection_classification.py``)
- 00:40.979
- 01:00.285
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_rank_filters.py` (``plot_rank_filters.py``)
- 00:40.797
- 00:40.929
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_haar_extraction_selection_classification.py` (``plot_haar_extraction_selection_classification.py``)
- 00:40.734
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_cornea_spot_inpainting.py` (``plot_cornea_spot_inpainting.py``)
- 00:17.259
- 00:17.406
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_3d_image_processing.py` (``plot_3d_image_processing.py``)
- 00:07.323
- 00:07.356
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_3d_interaction.py` (``plot_3d_interaction.py``)
- 00:07.028
- 00:07.041
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_thresholding_guide.py` (``plot_thresholding_guide.py``)
- 00:02.967
- 00:03.020
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_solidification_tracking.py` (``plot_solidification_tracking.py``)
- 00:02.668
- 00:02.537
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_image_comparison.py` (``plot_image_comparison.py``)
- 00:02.026
- 00:02.022
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_human_mitosis.py` (``plot_human_mitosis.py``)
- 00:02.004
- 00:02.007
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_fluorescence_nuclear_envelope.py` (``plot_fluorescence_nuclear_envelope.py``)
- 00:01.720
- 00:01.737
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_coins_segmentation.py` (``plot_coins_segmentation.py``)
- 00:01.532
- 00:01.537
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_morphology.py` (``plot_morphology.py``)
- 00:01.410
- 00:01.404
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_3d_structure_tensor.py` (``plot_3d_structure_tensor.py``)
- 00:01.286
- 00:01.276
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_colocalization_metrics.py` (``plot_colocalization_metrics.py``)
- 00:01.234
- 00:01.185
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_text.py` (``plot_text.py``)
- 00:00.796
- 00:00.797
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_face_detection.py` (``plot_face_detection.py``)
- 00:00.338
- 00:00.340
- 0.0
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Expand Up @@ -318,7 +318,7 @@ degraded version of it.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 13.353 seconds)
**Total running time of the script:** (0 minutes 13.522 seconds)


.. _sphx_glr_download_auto_examples_color_exposure_plot_adapt_hist_eq_3d.py:
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Expand Up @@ -207,7 +207,7 @@ Finally, we can use this handler with ``adapt_rgb`` just as before:

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.604 seconds)
**Total running time of the script:** (0 minutes 1.594 seconds)


.. _sphx_glr_download_auto_examples_color_exposure_plot_adapt_rgb.py:
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Expand Up @@ -135,7 +135,7 @@ that fall within the 2nd and 98th percentiles [2]_.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 0.765 seconds)
**Total running time of the script:** (0 minutes 0.766 seconds)


.. _sphx_glr_download_auto_examples_color_exposure_plot_equalize.py:
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Expand Up @@ -122,7 +122,7 @@ image for each channel.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.149 seconds)
**Total running time of the script:** (0 minutes 1.141 seconds)


.. _sphx_glr_download_auto_examples_color_exposure_plot_histogram_matching.py:
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Expand Up @@ -143,7 +143,7 @@ Now we can easily manipulate the hematoxylin and DAB channels:

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.298 seconds)
**Total running time of the script:** (0 minutes 1.275 seconds)


.. _sphx_glr_download_auto_examples_color_exposure_plot_ihc_color_separation.py:
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Expand Up @@ -220,7 +220,7 @@ only a single slice is shown for visual inspection.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 3.113 seconds)
**Total running time of the script:** (0 minutes 2.979 seconds)


.. _sphx_glr_download_auto_examples_color_exposure_plot_local_equalize.py:
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Expand Up @@ -118,7 +118,7 @@ correction on the input image.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 0.823 seconds)
**Total running time of the script:** (0 minutes 0.820 seconds)


.. _sphx_glr_download_auto_examples_color_exposure_plot_log_gamma.py:
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Expand Up @@ -189,7 +189,7 @@ unevenly illuminated.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 0.655 seconds)
**Total running time of the script:** (0 minutes 0.643 seconds)


.. _sphx_glr_download_auto_examples_color_exposure_plot_regional_maxima.py:
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Expand Up @@ -75,7 +75,7 @@ References
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 0.615 seconds)
**Total running time of the script:** (0 minutes 0.614 seconds)


.. _sphx_glr_download_auto_examples_color_exposure_plot_rgb_to_gray.py:
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Expand Up @@ -165,7 +165,7 @@ remove the shadow of the cup:

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.230 seconds)
**Total running time of the script:** (0 minutes 1.213 seconds)


.. _sphx_glr_download_auto_examples_color_exposure_plot_rgb_to_hsv.py:
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Expand Up @@ -254,7 +254,7 @@ image.org/docs/0.9.x/api/skimage.color.html#label2rgb>`_.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 2.028 seconds)
**Total running time of the script:** (0 minutes 2.016 seconds)


.. _sphx_glr_download_auto_examples_color_exposure_plot_tinting_grayscale_images.py:
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