{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Volume Mesh\n", "\n", "Mesh is an object which displays triangles in 3d.\n", "An scalar can be displayed on the mesh using color map." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import vtk\n", "import k3d\n", "import numpy as np\n", "import math\n", "import ipywidgets as widgets\n", "from vtk.util import numpy_support\n", "from k3d.helpers import quad, download\n", "\n", "filename = download('https://vedo.embl.es/examples/data/embryo.slc')\n", "reader = vtk.vtkSLCReader()\n", "reader.SetFileName(filename)\n", "reader.Update()\n", "vti = reader.GetOutput()\n", "\n", "x, y, z = vti.GetDimensions()\n", "volume_data = numpy_support.vtk_to_numpy(vti.GetPointData().GetArray(0)).reshape(-1, y, x).astype(np.float32)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "basic_color_maps = [(attr, getattr(k3d.basic_color_maps, attr)) for attr in dir(k3d.basic_color_maps) if not attr.startswith('__')]\n", "paraview_color_maps = [(attr, getattr(k3d.paraview_color_maps, attr)) for attr in dir(k3d.paraview_color_maps) if not attr.startswith('__')]\n", "matplotlib_color_maps = [(attr, getattr(k3d.matplotlib_color_maps, attr)) for attr in dir(k3d.matplotlib_color_maps) if not attr.startswith('__')]\n", "colormaps = basic_color_maps + paraview_color_maps + matplotlib_color_maps" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "82c3b23b5e074f81a6c6fff11579af2c", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "vertices, indices = quad(20.0, 20.0)\n", "\n", "plot = k3d.plot()\n", "\n", "obj = k3d.mesh(vertices, indices, volume=volume_data, side='double', volume_bounds=[-10, 10, -10, 10, -10, 10])\n", "\n", "model_matrix = {}\n", "for t in np.linspace(0, 2* np.pi, 100):\n", " obj.transform.rotation = [t, math.sin(t), math.cos(t), 1]\n", " model_matrix[str(t)] = obj.model_matrix\n", " \n", "obj.model_matrix = model_matrix \n", "plot += obj\n", "\n", "plot.display()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "data = plot.get_binary_snapshot()\n", "\n", "with open('binary_snapshot.k3d', 'wb') as f:\n", " f.write(data)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": false }, "outputs": [], "source": [ "tf_editor = k3d.transfer_function_editor()\n", "\n", "@widgets.interact(x=widgets.Dropdown(options=colormaps, description='ColorMap:'))\n", "def g(x):\n", " tf_editor.color_map = np.array(x, dtype=np.float32)\n", "\n", "_ = widgets.link((tf_editor, 'color_map'), (obj, 'color_map'))\n", "_ = widgets.link((tf_editor, 'opacity_function'), (obj, 'opacity_function'))\n", "\n", "tf_editor.display()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "tf_editor.opacity_function = np.array([\n", " 0, 0, \n", " 0.04, 0,\n", " 0.1, 1, \n", " 1,1\n", "], dtype=np.float32)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plot.start_auto_play()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plot.stop_auto_play()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "f = open('./volume.html', 'w', encoding='UTF-8')\n", "f.write(plot.get_snapshot(9, 'K3DInstance.startAutoPlay();'))\n", "f.close()" ] }, { "cell_type": "code", "execution_count": null, "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": "3.8.12" }, "nbTranslate": { "displayLangs": [ "en", "pl" ], "hotkey": "alt-t", "langInMainMenu": true, "sourceLang": "pl", "targetLang": "en", "useGoogleTranslate": true }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }