{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Convert images to meshes" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from vedo import Picture, settings, printc, show\n", "from vedo.applications import SplinePlotter\n", "\n", "settings.default_backend = \"vtk\"" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "
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\n", "vedo.picture.Picture
(../data/sox9_exp.jpg)\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
shape (876, 720)
in memory size 616 KB
point data array JPEGImage
intensity range (42.0, 255.0)
level / window 127.5 / 255.0
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" ], "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pic = Picture(\"../data/sox9_exp.jpg\").bw()\n", "pic" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Select the contour of the limb. \n", "# Click q when done.\n", "plt = SplinePlotter(pic)\n", "plt.show(mode=\"image\", zoom='tight')\n", "outline = plt.line\n", "plt.close()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[7m\u001b[1m\u001b[32mCutting with outline... (may take a fews secs)\u001b[0m\n" ] }, { "data": { "text/html": [ "\n", "\n", "\n", "
\n", "\n", "
\n", "vedo.mesh.Mesh
(../data/sox9_exp.jpg)\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
bounds
(x/y/z) 		164.3 ... 814.7
73.01 ... 632.7
0 ... 0
center of mass (490, 365, 0)
average size 201.149
nr. points / faces 276428 / 548406
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" ], "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "printc(\"Cutting with outline... (may take a fews secs)\", invert=True, c='g')\n", "msh = pic.tomesh().cmap(\"viridis_r\")\n", "cut_msh = msh.clone().cut_with_point_loop(outline)\n", "cut_msh" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "
\n", "\n", "
\n", "vedo.mesh.Mesh
(../data/sox9_exp.jpg)\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
bounds
(x/y/z) 		164.3 ... 814.7
73.01 ... 632.7
0 ... 0
center of mass (490, 365, 0)
average size 201.149
nr. points / faces 276428 / 548406
point data array RGBA
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" ], "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# interpolate the original data by looking at the 3 closest points\n", "cut_msh.interpolate_data_from(msh, n=3)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "show(cut_msh, outline, axes=1).close()" ] } ], "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": "3.10.10" } }, "nbformat": 4, "nbformat_minor": 2 }