128 lines
3.4 KiB
Plaintext
128 lines
3.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"To do:\n",
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"\n",
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"- Parametrize gen_twisted_boundary over boundaries\n",
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"- Encode the notions of \"generator which transforms an\n",
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"existing list of boundaries\", \"generator which transforms\n",
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"another generator\"\n",
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"- Work directly with lists of boundaries. The only thing\n",
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"I ever do with them is apply transforms to all of them, or\n",
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"join adjacent ones with corresponding elements.\n",
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"- Refactor/rewrite 'concat' with meshes because I think it\n",
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"is scaling horribly. Perhaps have pre-allocated arrays that\n",
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"scale by a factor of 1.5 every time they need to be grown, or\n",
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"something.\n",
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"- Why do I get the weird zig-zag pattern on the triangles,\n",
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"despite larger numbers of them? Is it something in how I\n",
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"twist the frames? (Note that I always connect one diagonal\n",
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"on the boundaries - but I can choose the other. This might\n",
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"not matter, but I should understand why.)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import stl.mesh\n",
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"import numpy\n",
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"import trimesh\n",
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"import random\n",
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"\n",
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"import meshutil\n",
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"import examples"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"#mesh = examples.ram_horn()\n",
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"#mesh = examples.twist()\n",
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"#mesh = examples.twist_nonlinear()\n",
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"#mesh = examples.twist_from_gen()\n",
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"#mesh = examples.twisty_torus(4000)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# for me to be able to nest this, gen_twisted_boundary has to\n",
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"# be parametrized over some other boundary (the way )\n",
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"gen = examples.gen_inc_y(examples.gen_twisted_boundary())\n",
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"mesh = gen2mesh(gen, 100, True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Work around some annoying-ass trimesh/threejs bug:\n",
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"wtf = meshutil.Transform().scale(0.1).translate(20,0,0)\n",
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"center = meshutil.Transform().translate(-0.5, -0.5, -0.5)\n",
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"base = meshutil.cube(open_xz=False).transform(center)\n",
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"base = base.transform(wtf)\n",
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"# to enable:\n",
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"mesh_out = mesh.concat(base)\n",
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"\n",
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"mesh_fname = \"twist_wtf.stl\"\n",
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"mesh_out.to_stl_mesh().save(mesh_fname)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# TODO: Just use the mesh data directly (no sense in saving & re-loading)\n",
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"m = trimesh.load_mesh(mesh_fname)\n",
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"#m.show()\n",
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"scene = trimesh.Scene([m])\n",
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"scene.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.8"
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}
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"nbformat": 4,
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"nbformat_minor": 4
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