.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/plot_segment_sphinx_macaque_ants_based.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_plot_segment_sphinx_macaque_ants_based.py: .. _plot_segment_sphinx_macaque_ants_based: ============================================================================== Plot the results of a segmentation with ANTS-based pipeline in sphinx position ============================================================================== .. GENERATED FROM PYTHON SOURCE LINES 8-19 .. code-block:: default # Authors: David Meunier, Bastien Cagna # License: BSD (3-clause) # sphinx_gallery_thumbnail_number = 2 import os import os.path as op from macapype.utils.utils_tests import load_test_data .. GENERATED FROM PYTHON SOURCE LINES 20-22 Testing plot in local ############################################################################# .. GENERATED FROM PYTHON SOURCE LINES 22-38 .. code-block:: default orig_data_path = load_test_data("data_test_sphinx_macaque") data_path = load_test_data("data_test_sphinx_macaque_processed") wf_path = os.path.join(data_path, "example_segment_sphinx_macaque_ants_based") graph = os.path.join(wf_path, "graph.png") import matplotlib.pyplot as plt # noqa img = plt.imread(graph) plt.figure(figsize=(36, 72)) plt.imshow(img) plt.axis('off') plt.show() .. image-sg:: /auto_examples/images/sphx_glr_plot_segment_sphinx_macaque_ants_based_001.png :alt: plot segment sphinx macaque ants based :srcset: /auto_examples/images/sphx_glr_plot_segment_sphinx_macaque_ants_based_001.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out Out: .. code-block:: none data_dirpath /home/meunier.d/data_macapype already exists /home/meunier.d/data_macapype/data_test_sphinx_macaque Already exists, skipping download data_dirpath /home/meunier.d/data_macapype already exists /home/meunier.d/data_macapype/data_test_sphinx_macaque_processed Already exists, skipping download .. GENERATED FROM PYTHON SOURCE LINES 39-41 Data preparation ############################################################################# .. GENERATED FROM PYTHON SOURCE LINES 44-46 # Reorient #========================== .. GENERATED FROM PYTHON SOURCE LINES 46-72 .. code-block:: default orig_T1_file = op.join(orig_data_path, "sub-ziggy_T1w.nii") reoriented_T1_file = op.join(wf_path, "old_data_preparation_pipe", "reorient_T1_pipe", "swap_dim", "sub-ziggy_T1w_newdims.nii.gz") # displaying results orig_T1 = os.path.join(wf_path, "orig_T1.png") cmd = "fsleyes render --outfile {} --size 1800 600 {}".format(orig_T1, orig_T1_file) os.system(cmd) reoriented_T1 = os.path.join(wf_path, "reoriented_T1.png") cmd = "fsleyes render --outfile {} --size 1800 600 {}".format(reoriented_T1, reoriented_T1_file) os.system(cmd) import matplotlib.pyplot as plt # noqa fig, axs = plt.subplots(2, 1, figsize=(36, 24)) axs[0].imshow(plt.imread(orig_T1)) axs[0].axis('off') axs[1].imshow(plt.imread(reoriented_T1)) axs[1].axis('off') plt.show() .. image-sg:: /auto_examples/images/sphx_glr_plot_segment_sphinx_macaque_ants_based_002.png :alt: plot segment sphinx macaque ants based :srcset: /auto_examples/images/sphx_glr_plot_segment_sphinx_macaque_ants_based_002.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 73-75 # Cropping and denoise #========================== .. GENERATED FROM PYTHON SOURCE LINES 75-102 .. code-block:: default cropped_T1_file = op.join(wf_path, "old_data_preparation_pipe", "bet_crop", "sub-ziggy_T1w_newdims_cropped.nii.gz") assert os.path.exists(cropped_T1_file), "Error with {}".format(cropped_T1_file) cropped_T1 = os.path.join(wf_path, "cropped_T1.png") cmd = "fsleyes render --outfile {} --size 1800 600 {}".format(cropped_T1, cropped_T1_file) os.system(cmd) denoised_T1_file = op.join(wf_path, "old_data_preparation_pipe", "denoise_T1", "sub-ziggy_T1w_newdims_cropped_noise_corrected.nii.gz") denoised_T1 = os.path.join(wf_path, "denoised_T1.png") cmd = "fsleyes render --outfile {} --size 1800 600 {}".format(denoised_T1, denoised_T1_file) os.system(cmd) import matplotlib.pyplot as plt # noqa fig, axs = plt.subplots(2, 1, figsize=(36, 24)) axs[0].imshow(plt.imread(cropped_T1)) axs[0].axis('off') axs[1].imshow(plt.imread(denoised_T1)) axs[1].axis('off') plt.show() .. image-sg:: /auto_examples/images/sphx_glr_plot_segment_sphinx_macaque_ants_based_003.png :alt: plot segment sphinx macaque ants based :srcset: /auto_examples/images/sphx_glr_plot_segment_sphinx_macaque_ants_based_003.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 37.341 seconds) .. _sphx_glr_download_auto_examples_plot_segment_sphinx_macaque_ants_based.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_segment_sphinx_macaque_ants_based.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_segment_sphinx_macaque_ants_based.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_