{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import k3d\n",
    "from k3d.headless import k3d_remote, get_headless_driver\n",
    "import numpy as np\n",
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot = k3d.plot(screenshot_scale=1.0)\n",
    "headless = k3d_remote(plot, get_headless_driver())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "T = 1.618033988749895\n",
    "r = 4.77\n",
    "zmin, zmax = -r, r\n",
    "xmin, xmax = -r, r\n",
    "ymin, ymax = -r, r\n",
    "Nx, Ny, Nz = 77, 77, 77\n",
    "\n",
    "x = np.linspace(xmin, xmax, Nx)\n",
    "y = np.linspace(ymin, ymax, Ny)\n",
    "z = np.linspace(zmin, zmax, Nz)\n",
    "x, y, z = np.meshgrid(x, y, z, indexing='ij')\n",
    "p = 2 - (np.cos(x + T * y) + np.cos(x - T * y) + \n",
    "         np.cos(y + T * z) + np.cos(y - T * z) + \n",
    "         np.cos(z - T * x) + np.cos(z + T * x)).astype(np.float32)\n",
    "iso = k3d.marching_cubes(p, level=0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot += iso"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "headless.sync()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Image(headless.get_browser_screenshot()) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Image(headless.get_screenshot(True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('screenshot.png', 'wb') as f:\n",
    "    f.write(headless.get_screenshot())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# movie creator\n",
    "\n",
    "import cv2\n",
    "import tqdm\n",
    "\n",
    "fourcc = cv2.VideoWriter_fourcc(*'MP4V')\n",
    "video = cv2.VideoWriter(\"headless_movie.mp4\", fourcc, 60.0, (1280, 720))\n",
    "r = 2\n",
    "\n",
    "for fi in tqdm.tqdm(np.linspace(0, 2 * np.pi, 60 * 4)):\n",
    "    plot.camera = [\n",
    "        np.sin(fi) * r, np.cos(fi) * r, 0.5,\n",
    "        0, 0, 0,\n",
    "        0, 0, 1\n",
    "    ]\n",
    "    \n",
    "    headless.sync()\n",
    "    \n",
    "    file_bytes = np.asarray(bytearray(headless.get_screenshot(True)), dtype=np.uint8)    \n",
    "    img = cv2.imdecode(file_bytes, cv2.IMREAD_UNCHANGED)[:,:,0:3]\n",
    "    video.write(img)    \n",
    "    \n",
    "video.release()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "headless.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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