From 81594af175ec900b7f4a6fec7ebd64f0124c7b6d Mon Sep 17 00:00:00 2001 From: cinarturhan <105860395+cinarturhan@users.noreply.github.com> Date: Fri, 17 May 2024 22:03:33 -0500 Subject: [PATCH 01/13] created initial tutorial notebook file --- 3D_Visualization_Tools_Tutorial.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 3D_Visualization_Tools_Tutorial.ipynb diff --git a/3D_Visualization_Tools_Tutorial.ipynb b/3D_Visualization_Tools_Tutorial.ipynb new file mode 100644 index 0000000..e69de29 From 8e781eb2263e379003b0f17449cbfe8308a5707f Mon Sep 17 00:00:00 2001 From: cinarturhan <105860395+cinarturhan@users.noreply.github.com> Date: Fri, 17 May 2024 22:13:06 -0500 Subject: [PATCH 02/13] moving the 3D vis notebook to examples dir --- .../3D_Visualization_Tools_Tutorial.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename 3D_Visualization_Tools_Tutorial.ipynb => examples/3D_Visualization_Tools_Tutorial.ipynb (100%) diff --git a/3D_Visualization_Tools_Tutorial.ipynb b/examples/3D_Visualization_Tools_Tutorial.ipynb similarity index 100% rename from 3D_Visualization_Tools_Tutorial.ipynb rename to examples/3D_Visualization_Tools_Tutorial.ipynb From 18ad607abd80c0b18c2af1e680b7baf0eb035759 Mon Sep 17 00:00:00 2001 From: cinarturhan <105860395+cinarturhan@users.noreply.github.com> Date: Thu, 16 May 2024 16:10:34 -0500 Subject: [PATCH 03/13] testing a different server --- new.txt | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 new.txt diff --git a/new.txt b/new.txt new file mode 100644 index 0000000..e69de29 From efa68ae99dd28758631bbb2b54f0824a9343e44b Mon Sep 17 00:00:00 2001 From: cinarturhan <105860395+cinarturhan@users.noreply.github.com> Date: Thu, 16 May 2024 16:16:56 -0500 Subject: [PATCH 04/13] deleted new.txt --- new.txt | 0 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 new.txt diff --git a/new.txt b/new.txt deleted file mode 100644 index e69de29..0000000 From f481da875924c66033e3ce9c2991ee883865dbb1 Mon Sep 17 00:00:00 2001 From: cinarturhan <105860395+cinarturhan@users.noreply.github.com> Date: Thu, 16 May 2024 17:18:08 -0500 Subject: [PATCH 05/13] changed bounding box, orthogonal slices, and isosurfaces plots for numpy array dtype --- dpm_tools/visualization/_plot_3d.py | 54 +++++++++++++++++++++++------ 1 file changed, 43 insertions(+), 11 deletions(-) diff --git a/dpm_tools/visualization/_plot_3d.py b/dpm_tools/visualization/_plot_3d.py index 7a87158..d23906d 100644 --- a/dpm_tools/visualization/_plot_3d.py +++ b/dpm_tools/visualization/_plot_3d.py @@ -11,7 +11,7 @@ def orthogonal_slices(data, fig: pv.DataSet = None, show_slices: list = None, pl Plots 3 orthogonal slices of a 3D image. Parameters: - data: A dataclass containing 3D image data + data: A np array containing 3D image data fig: Pyvista plotter object show_slices: List of slices in x, y, z to show. Default is middle slice in each direction. plotter_kwargs: Additional keyword arguments to pass to the plotter. @@ -22,7 +22,10 @@ def orthogonal_slices(data, fig: pv.DataSet = None, show_slices: list = None, pl """ if show_slices is None: + """ show_slices = [data.nx // 2, data.ny // 2, data.nz // 2] + """ + show_slices = [data.shape[1] // 2, data.shape[2] // 2, data.shape[0] // 2] # Overriding the above line because it prevents orthogonal slices from showing for some reason. if plotter_kwargs is None: @@ -35,16 +38,24 @@ def orthogonal_slices(data, fig: pv.DataSet = None, show_slices: list = None, pl x_slice, y_slice, z_slice = show_slices # Tests to make sure input slices are within image dimensions + """ assert 0 <= x_slice < data.nx, "X-slice value outside image dimensions" assert 0 <= y_slice < data.ny, "Y-slice value outside image dimensions" assert 0 <= z_slice < data.nz, "Z-slice value outside image dimensions" + """ + assert 0 <= x_slice < data.shape[1], "X-slice value outside image dimensions" + assert 0 <= y_slice < data.shape[2], "Y-slice value outside image dimensions" + assert 0 <= z_slice < data.shape[0], "Z-slice value outside image dimensions" # Initialize plotter object if fig is None: fig = _initialize_plotter(**plotter_kwargs) # Swapping axes for pyvista compatibility + ''' ax_swap_arr = np.swapaxes(data.scalar, 0, 2) + ''' + ax_swap_arr = np.swapaxes(data, 0, 2) # Wrap NumPy array to pyvista object pv_image_obj = _wrap_array(ax_swap_arr) @@ -78,7 +89,8 @@ def update(self): fig.add_mesh(starting_mesh,name='timestep_mesh', **mesh_kwargs, show_scalar_bar=False) _ = fig.add_scalar_bar(position_x=0.9, position_y= 0.2, height=0.5, vertical=True) fig.add_slider_widget(callback=lambda value: engine('z', int(value)), - rng = [1, data.nz-1], + # rng = [1, data.nz-1], + rng = [1, data.shape[0]-1], value=50, pointa=(0.025, 0.1), pointb=(0.31, 0.1), @@ -86,7 +98,8 @@ def update(self): fmt="%0.f", style='modern') fig.add_slider_widget(callback=lambda value: engine('x', int(value)), - rng = [1, data.nx-1], + # rng = [1, data.nx-1], + rng = [1, data.shape[1]-1], value=50, pointa=(0.35, 0.1), pointb=(0.64, 0.1), @@ -94,7 +107,8 @@ def update(self): fmt="%0.f", style='modern') fig.add_slider_widget(callback=lambda value: engine('y', int(value)), - rng = [1, data.ny-1], + # rng = [1, data.ny-1], + rng = [1, data.shape[2]-1], value=50, pointa=(0.67, 0.1), pointb=(0.98, 0.1), @@ -161,14 +175,22 @@ def plot_isosurface(data, fig: pv.Plotter = None, show_isosurface: list = None, if fig is None: fig = _initialize_plotter(**plotter_kwargs) - + ''' pv_image_obj = _wrap_array(data.scalar) + ''' + pv_image_obj = _wrap_array(data) if show_isosurface is None: + ''' show_isosurface = [(np.amax(data.scalar)+np.amin(data.scalar))/2] warnings.warn('\n\nNo value provided for \'show_isosurfaces\' keyword.'+ f'Using the midpoint of the isosurface array instead ({np.amin(data.scalar)},{np.amax(data.scalar)}).\n', stacklevel=2) + ''' + show_isosurface = [(np.amax(data)+np.amin(data))/2] + warnings.warn('\n\nNo value provided for \'show_isosurfaces\' keyword.'+ + f'Using the midpoint of the isosurface array instead ({np.amin(data)},{np.amax(data)}).\n', + stacklevel=2) contours = pv_image_obj.contour(isosurfaces=show_isosurface) @@ -200,8 +222,11 @@ def bounding_box(data, fig: pv.Plotter = None, mesh_kwargs: dict = None, plotter mesh_kwargs = {'opacity': 0.2, 'color': (1, 1, 1)} - - wall_bin = data.scalar.copy() + ''' + wall_bin = data.scalar.copy() + + ''' + wall_bin = data.copy() wall_bin[1:-1, 1:-1, 1:-1] = 255 vtk_wall = _wrap_array(wall_bin) wall_contours = vtk_wall.contour([255]) @@ -242,10 +267,10 @@ def plot_glyph(vector_data, fig: pv.Plotter = None, glyph: pv.PolyData = None, g glyph_kwargs['orient'] = [vector_data.vector[i][::glyph_space, ::glyph_space, ::glyph_space]/np.max(vector_data.magnitude) for i in range(3)] # plotter_kwargs, mesh_kwargs = _initialize_kwargs(plotter_kwargs, mesh_kwargs) - x, y, z = np.mgrid[:vector_data.nx:glyph_space, :vector_data.ny:glyph_space, :vector_data.nz:glyph_space] + # Pseudo mesh for scale bar of the figure ##################################### glyph_kwargs2 = {'scale': array*np.max(vector_data.magnitude), @@ -388,10 +413,15 @@ def plot_scalar_volume(data, fig: pv.Plotter = None, mesh_kwargs: dict = None, # wall_bin[1:-1, 1:-1, 1:-1] = data.scalar.copy() # pv_image_obj = _wrap_array(data.scalar) - + ''' mesh = pv.ImageData(dimensions=(data.nz, data.ny, data.nx), spacing=(1.0, 1.0, 1.0), origin=(0.0, 0.0, 0.0)) + ''' + + mesh = pv.ImageData(dimensions=(data.shape[0], data.shape[2], data.shape[1]), + spacing=(1.0, 1.0, 1.0), + origin=(0.0, 0.0, 0.0)) mesh['scalars'] = data.scalar.flatten(order="F") @@ -438,8 +468,10 @@ def plot_medial_axis(data, fig: pv.Plotter = None, show_isosurface: list = None, if fig is None: fig = _initialize_plotter(**plotter_kwargs) - - medial_axis = skimage.morphology.skeletonize(data.scalar) + ''' + medial_axis = skimage.morphology.skeletonize(data.scalar) + ''' + medial_axis = skimage.morphology.skeletonize(data) pv_image_obj = _wrap_array(medial_axis) contours_ma = pv_image_obj.contour(isosurfaces=[0.5]) From 35c3b47e8d63ee422fec6a1fc6b131d0244693b1 Mon Sep 17 00:00:00 2001 From: cinarturhan <105860395+cinarturhan@users.noreply.github.com> Date: Sat, 18 May 2024 23:07:19 -0500 Subject: [PATCH 06/13] modified example visualization notebook. --- .../3D_Visualization_Tools_Tutorial.ipynb | 242 ++++++++++++++++++ 1 file changed, 242 insertions(+) diff --git a/examples/3D_Visualization_Tools_Tutorial.ipynb b/examples/3D_Visualization_Tools_Tutorial.ipynb index e69de29..6d96f3a 100644 --- a/examples/3D_Visualization_Tools_Tutorial.ipynb +++ b/examples/3D_Visualization_Tools_Tutorial.ipynb @@ -0,0 +1,242 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8c81d0ea", + "metadata": {}, + "source": [ + "## This notebook contains examples for 3D visualization tools/functions of DPM Tools." + ] + }, + { + "cell_type": "markdown", + "id": "ec484a0f", + "metadata": {}, + "source": [ + "Installing dpm_tools." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4c2c002f", + "metadata": {}, + "outputs": [], + "source": [ + "# import os\n", + "# os.chdir('/home1/09429/cinarturhan/GitHub/')\n", + "# !pip install -e dpm_tools\n", + "# os.chdir('/home1/09429/cinarturhan/GitHub/dpm_tools/examples')" + ] + }, + { + "cell_type": "markdown", + "id": "c9a6b693", + "metadata": {}, + "source": [ + "Importing the required packages." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "9673eef2", + "metadata": {}, + "outputs": [], + "source": [ + "import requests\n", + "import numpy as np\n", + "import glob" + ] + }, + { + "cell_type": "markdown", + "id": "cb3b8aad", + "metadata": {}, + "source": [ + "Importing visualization moduel of the dpm_tools package." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6766be6c", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "from dpm_tools import visualization as dpm_vis" + ] + }, + { + "cell_type": "markdown", + "id": "c1c8bf85", + "metadata": {}, + "source": [ + "Defining a function to download data from Digital Rocks Portal. The data is x-ray microtomography data from the Network Generation Comparison Forum and is available on the Digital Rocks Portal (https://www.digitalrocksportal.org/projects/16)." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "508d0b75", + "metadata": {}, + "outputs": [], + "source": [ + "# Function to download files\n", + "def download_file_url(file_url,filename):\n", + " # download file\n", + " r = requests.get(file_url, stream = True) \n", + "\n", + " with open(filename,\"wb\") as f: \n", + " for chunk in r.iter_content(chunk_size=1024): \n", + "\n", + " # writing one chunk at a time to pdf file \n", + " if chunk: \n", + " f.write(chunk)\n", + " return()\n", + "\n", + "# Downloading the data\n", + "parent_dir = '../data/'\n", + "file_names = ['gambier.ubc', 'beadpack.ubc', 'sandpack.ubc', 'castlegate.ubc']\n", + "file_dirs = [parent_dir+file for file in file_names]\n", + "file_links = ['https://www.digitalrocksportal.org/projects/16/images/65565/download/',\n", + " 'https://www.digitalrocksportal.org/projects/16/images/65563/download/',\n", + " 'https://www.digitalrocksportal.org/projects/16/images/65566/download/',\n", + " 'https://www.digitalrocksportal.org/projects/16/images/65564/download/']\n", + "\n", + "for i in range(0,len(file_dirs)):\n", + " download_file_url(file_links[i],file_dirs[i])" + ] + }, + { + "cell_type": "markdown", + "id": "97cbbf24", + "metadata": {}, + "source": [ + "Checking the image list and importing the data to the notebook. We have preprocessed the data to have solid and pore labeled as 0 and 1, respectively." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "b4453309", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['../data/beadpack.ubc', '../data/castlegate.ubc', '../data/gambier.ubc', '../data/sandpack.ubc']\n" + ] + } + ], + "source": [ + "# Checking image list\n", + "img_list = sorted(glob.glob('../data/*.ubc'))\n", + "print(img_list)\n", + "\n", + "# Reading Images\n", + "beadpack, castlegate, gambier, sandpack = [np.fromfile(img,dtype='uint8') for img in img_list]\n", + "\n", + "# Reshaping Images\n", + "gambier = gambier.reshape((512,512,512))\n", + "castlegate = castlegate.reshape((512,512,512))\n", + "beadpack = beadpack.reshape((512,512,512))\n", + "sandpack = sandpack.reshape((512,512,512))\n", + "\n", + "# Inverting the binary arrays (switching void and solid phases)\n", + "gambier = np.invert(gambier==True).astype('uint8')\n", + "castlegate = np.invert(castlegate==True).astype('uint8')\n", + "beadpack = np.invert(beadpack==True).astype('uint8')\n", + "sandpack = np.invert(sandpack==True).astype('uint8')" + ] + }, + { + "cell_type": "markdown", + "id": "0ec1f5e7", + "metadata": {}, + "source": [ + "Getting a subset from the data for faster visualization." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "4f7fae92", + "metadata": {}, + "outputs": [], + "source": [ + "sandpack = sandpack[0:100, 0:100, 0:100]" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "ac2db7d4", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home1/09429/cinarturhan/.local/lib/python3.9/site-packages/pyvista/plotting/plotter.py:151: UserWarning: \n", + "This system does not appear to be running an xserver.\n", + "PyVista will likely segfault when rendering.\n", + "\n", + "Try starting a virtual frame buffer with xvfb, or using\n", + " ``pyvista.start_xvfb()``\n", + "\n", + " warnings.warn(\n" + ] + }, + { + "ename": "AttributeError", + "evalue": "'numpy.ndarray' object has no attribute 'scalar'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/tmp/ipykernel_2723662/1440302689.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdpm_vis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_isosurface\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msandpack\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/GitHub/dpm_tools/dpm_tools/visualization/_plot_3d.py\u001b[0m in \u001b[0;36mplot_isosurface\u001b[0;34m(data, fig, show_isosurface, mesh_kwargs, plotter_kwargs)\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_initialize_plotter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mplotter_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 164\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 165\u001b[0;31m \u001b[0mpv_image_obj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_wrap_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscalar\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 166\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 167\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mshow_isosurface\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'numpy.ndarray' object has no attribute 'scalar'" + ] + } + ], + "source": [ + "\n", + "dpm_vis.plot_isosurface(sandpack)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5ca3307f", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From cc9bb4acadc750a2b783c8e99fc9a6967571a711 Mon Sep 17 00:00:00 2001 From: cinarturhan <105860395+cinarturhan@users.noreply.github.com> Date: Sun, 19 May 2024 00:27:59 -0500 Subject: [PATCH 07/13] completed 3d vis static tutorial commands and kept the image class --- dpm_tools/visualization/_plot_3d.py | 52 ++--- .../3D_Visualization_Tools_Tutorial.ipynb | 180 ++++++++++++++---- 2 files changed, 152 insertions(+), 80 deletions(-) diff --git a/dpm_tools/visualization/_plot_3d.py b/dpm_tools/visualization/_plot_3d.py index d23906d..8b3f22f 100644 --- a/dpm_tools/visualization/_plot_3d.py +++ b/dpm_tools/visualization/_plot_3d.py @@ -22,10 +22,7 @@ def orthogonal_slices(data, fig: pv.DataSet = None, show_slices: list = None, pl """ if show_slices is None: - """ show_slices = [data.nx // 2, data.ny // 2, data.nz // 2] - """ - show_slices = [data.shape[1] // 2, data.shape[2] // 2, data.shape[0] // 2] # Overriding the above line because it prevents orthogonal slices from showing for some reason. if plotter_kwargs is None: @@ -38,24 +35,17 @@ def orthogonal_slices(data, fig: pv.DataSet = None, show_slices: list = None, pl x_slice, y_slice, z_slice = show_slices # Tests to make sure input slices are within image dimensions - """ assert 0 <= x_slice < data.nx, "X-slice value outside image dimensions" assert 0 <= y_slice < data.ny, "Y-slice value outside image dimensions" assert 0 <= z_slice < data.nz, "Z-slice value outside image dimensions" - """ - assert 0 <= x_slice < data.shape[1], "X-slice value outside image dimensions" - assert 0 <= y_slice < data.shape[2], "Y-slice value outside image dimensions" - assert 0 <= z_slice < data.shape[0], "Z-slice value outside image dimensions" + # Initialize plotter object if fig is None: fig = _initialize_plotter(**plotter_kwargs) # Swapping axes for pyvista compatibility - ''' ax_swap_arr = np.swapaxes(data.scalar, 0, 2) - ''' - ax_swap_arr = np.swapaxes(data, 0, 2) # Wrap NumPy array to pyvista object pv_image_obj = _wrap_array(ax_swap_arr) @@ -89,8 +79,7 @@ def update(self): fig.add_mesh(starting_mesh,name='timestep_mesh', **mesh_kwargs, show_scalar_bar=False) _ = fig.add_scalar_bar(position_x=0.9, position_y= 0.2, height=0.5, vertical=True) fig.add_slider_widget(callback=lambda value: engine('z', int(value)), - # rng = [1, data.nz-1], - rng = [1, data.shape[0]-1], + rng = [1, data.nz-1], value=50, pointa=(0.025, 0.1), pointb=(0.31, 0.1), @@ -98,8 +87,7 @@ def update(self): fmt="%0.f", style='modern') fig.add_slider_widget(callback=lambda value: engine('x', int(value)), - # rng = [1, data.nx-1], - rng = [1, data.shape[1]-1], + rng = [1, data.nx-1], value=50, pointa=(0.35, 0.1), pointb=(0.64, 0.1), @@ -107,8 +95,7 @@ def update(self): fmt="%0.f", style='modern') fig.add_slider_widget(callback=lambda value: engine('y', int(value)), - # rng = [1, data.ny-1], - rng = [1, data.shape[2]-1], + rng = [1, data.ny-1], value=50, pointa=(0.67, 0.1), pointb=(0.98, 0.1), @@ -175,22 +162,15 @@ def plot_isosurface(data, fig: pv.Plotter = None, show_isosurface: list = None, if fig is None: fig = _initialize_plotter(**plotter_kwargs) - ''' + pv_image_obj = _wrap_array(data.scalar) - ''' - pv_image_obj = _wrap_array(data) + if show_isosurface is None: - ''' show_isosurface = [(np.amax(data.scalar)+np.amin(data.scalar))/2] warnings.warn('\n\nNo value provided for \'show_isosurfaces\' keyword.'+ f'Using the midpoint of the isosurface array instead ({np.amin(data.scalar)},{np.amax(data.scalar)}).\n', stacklevel=2) - ''' - show_isosurface = [(np.amax(data)+np.amin(data))/2] - warnings.warn('\n\nNo value provided for \'show_isosurfaces\' keyword.'+ - f'Using the midpoint of the isosurface array instead ({np.amin(data)},{np.amax(data)}).\n', - stacklevel=2) contours = pv_image_obj.contour(isosurfaces=show_isosurface) @@ -221,12 +201,8 @@ def bounding_box(data, fig: pv.Plotter = None, mesh_kwargs: dict = None, plotter if mesh_kwargs is None: mesh_kwargs = {'opacity': 0.2, 'color': (1, 1, 1)} - - ''' - wall_bin = data.scalar.copy() - ''' - wall_bin = data.copy() + wall_bin = data.scalar.copy() wall_bin[1:-1, 1:-1, 1:-1] = 255 vtk_wall = _wrap_array(wall_bin) wall_contours = vtk_wall.contour([255]) @@ -413,15 +389,10 @@ def plot_scalar_volume(data, fig: pv.Plotter = None, mesh_kwargs: dict = None, # wall_bin[1:-1, 1:-1, 1:-1] = data.scalar.copy() # pv_image_obj = _wrap_array(data.scalar) - ''' + mesh = pv.ImageData(dimensions=(data.nz, data.ny, data.nx), spacing=(1.0, 1.0, 1.0), origin=(0.0, 0.0, 0.0)) - ''' - - mesh = pv.ImageData(dimensions=(data.shape[0], data.shape[2], data.shape[1]), - spacing=(1.0, 1.0, 1.0), - origin=(0.0, 0.0, 0.0)) mesh['scalars'] = data.scalar.flatten(order="F") @@ -468,10 +439,9 @@ def plot_medial_axis(data, fig: pv.Plotter = None, show_isosurface: list = None, if fig is None: fig = _initialize_plotter(**plotter_kwargs) - ''' - medial_axis = skimage.morphology.skeletonize(data.scalar) - ''' - medial_axis = skimage.morphology.skeletonize(data) + + medial_axis = skimage.morphology.skeletonize(data.scalar) + pv_image_obj = _wrap_array(medial_axis) contours_ma = pv_image_obj.contour(isosurfaces=[0.5]) diff --git a/examples/3D_Visualization_Tools_Tutorial.ipynb b/examples/3D_Visualization_Tools_Tutorial.ipynb index 6d96f3a..92fa609 100644 --- a/examples/3D_Visualization_Tools_Tutorial.ipynb +++ b/examples/3D_Visualization_Tools_Tutorial.ipynb @@ -39,14 +39,16 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 24, "id": "9673eef2", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import numpy as np\n", - "import glob" + "import glob\n", + "import pyvista as pv\n", + "pv.set_jupyter_backend('server')" ] }, { @@ -59,14 +61,15 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "id": "6766be6c", "metadata": { "scrolled": true }, "outputs": [], "source": [ - "from dpm_tools import visualization as dpm_vis" + "from dpm_tools import visualization as dpm_vis\n", + "from dpm_tools import io" ] }, { @@ -79,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "id": "508d0b75", "metadata": {}, "outputs": [], @@ -120,7 +123,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 5, "id": "b4453309", "metadata": {}, "outputs": [ @@ -146,11 +149,11 @@ "beadpack = beadpack.reshape((512,512,512))\n", "sandpack = sandpack.reshape((512,512,512))\n", "\n", - "# Inverting the binary arrays (switching void and solid phases)\n", - "gambier = np.invert(gambier==True).astype('uint8')\n", - "castlegate = np.invert(castlegate==True).astype('uint8')\n", - "beadpack = np.invert(beadpack==True).astype('uint8')\n", - "sandpack = np.invert(sandpack==True).astype('uint8')" + "# # Inverting the binary arrays (switching void and solid phases)\n", + "# gambier = np.invert(gambier==True).astype('uint8')\n", + "# castlegate = np.invert(castlegate==True).astype('uint8')\n", + "# beadpack = np.invert(beadpack==True).astype('uint8')\n", + "# sandpack = np.invert(sandpack==True).astype('uint8')" ] }, { @@ -163,59 +166,158 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 6, "id": "4f7fae92", "metadata": {}, "outputs": [], "source": [ - "sandpack = sandpack[0:100, 0:100, 0:100]" + "sandpack = sandpack[0:100, 0:100, 0:100]\n", + "image = io.Image(scalar=sandpack)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "808c241c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "p = dpm_vis.plot_slice(image, slice_num=50)" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 25, "id": "ac2db7d4", "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "080af37e48c84e89a6f7eea22bd9df6c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Widget(value='