{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# An example with ImPlot (Bar plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Glfw Error 65548: Cocoa: Regular windows do not have icons on macOS\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from imgui_bundle import implot, imgui, imgui_knobs, immapp, immvision\n",
    "from imgui_bundle.demos_python import demo_utils\n",
    "import time\n",
    "\n",
    "import numpy as np\n",
    "import cv2\n",
    "\n",
    "lin = np.array([8, 8, 9, 7, 8, 8, 8, 9, 7, 8])\n",
    "bar = np.array([1, 2, 5, 3, 4, 1, 2, 5, 3, 4])\n",
    "dot = np.array([7, 6, 6, 7, 8, 5, 6, 5, 8, 7])\n",
    "\n",
    "\n",
    "def mixed_plot():\n",
    "    imgui.style_colors_light()\n",
    "    if implot.begin_plot(\"Mixed plot\"):\n",
    "        implot.setup_axes(\"x-axis\", \"y-axis\")\n",
    "        implot.setup_axes_limits(-0.5, 9.5, 0, 10)\n",
    "        implot.plot_bars(\"Bars\", bar, 0.5)\n",
    "        implot.plot_line(\"Line\", lin)\n",
    "        implot.plot_scatter(\"Scatter\", dot)\n",
    "        implot.end_plot()\n",
    "\n",
    "\n",
    "immapp.run(mixed_plot, window_size=(800, 300), with_implot=True, thumbnail_height=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Another example with ImPlot (heart haiku) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "code_folding": [],
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Glfw Error 65548: Cocoa: Regular windows do not have icons on macOS\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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f4kP1H6gVbtriO7tY7iE5jkUMpqWsuz/0HVZ7LpFODcQ+xz86/mQf+BVS1VuxOzLtp/qW/wCuj/8AoRqjaj+09Ra+bm2tyY7Ydmboz/8Aso/H1pt5PImn/Z4G23F1M0MZH8OSct+Cgn8K07eCO2t44Il2xxqFUegFC0Vw3ZJRRRUlBRRRQA1fvN9adTV+831p1ABRRRQAUUUUANX7zfWh0SWNo3UMjAhlI4IoX7zfWnUAZVi7WkkulysW8tN9ux6tH0x9V6fTFTaV/wAgm0/64r/Kma1C5tVu4Bme1PmKB/EuPmX8Rn8cU/SSG0ezI6GFT+lVLXUS00Cw/wCPrUP+u4/9AWr9ULD/AI+tQ/67j/0Bav1Ixr/6tvoapaV/yCLT/riv8quv/q2+hqlpX/IItP8Ariv8qALlZPibT7vVNAuLOyMfnyNGcSStGrKJFLKWUEjKgjIB61rVXvbKHULVra48zy2IJMUrRsCDkYZSCPwNAGP4WmiSO+04aeLG4spws0SXDToSyKwZXYAkEEdQMY6Vf0maNIHiCvk3EvRDjlz3qXTtLs9JgeKziZBI5kkZ5GkeRiANzMxLMcADJJ6Cl0n/AI83/wCu8v8A6GaALm8eh/KjeMdD+VOo7UAMRxsXr09KXePQ/lQn3F+lOoAbvHofyo3j0P5U6igBu8eh/KjeMdD+VOo7UAMRxsXr09KXePQ/lQn3F+lOoAbvHofyo3j0P5U6igBu8eh/KszWWEUMF8oO60lDk4/gPyv+hJ/CtWorqBbm0mgYZWVGQ/iMU4uzE1dGRYsLrWppDkx2isi8fxu2T/46F/OtrePQ/lWF4P3voK3EhzLPK7ufUg7f5KK36qejt2FHVXG7x6H8qN49D+VOoqChu8eh/KjePQ/lTqKAI1cZbr19KdvHofyoX7zfWnUAN3j0P5Ubx6H8qdRQA3ePQ/lRvHofyp1FAEauMt16+lO3j0P5UL95vrTqAI3ceW3B6HtVTSABo9mAMAQqB+VXX/1bfQ1S0r/kE2n/AFxX+VABYf8AH1qH/Xcf+gLV+qFh/wAfWof9dx/6AtX6AGv/AKtvoapaV/yCLT/riv8AKrr/AOrb6GqWlf8AIItP+uK/yoAuUUUUAFVNJ/483/67y/8AoZq3VTSf+PN/+u8v/oZoAvUdqKO1ADU+4v0p1NT7i/SnUAFFFFABR2oo7UANT7i/SnU1PuL9KdQAUUUUAFFFFAFWwijhtfLiRURXfCqMAfMe1WqgtP8AUt/10f8A9CNT0AFFFFABRRRQA1fvN9adTV+831p1ABRRRQAUUUUANX7zfWnU1fvN9adQA1/9W30NUtK/5BNp/wBcV/lV1/8AVt9DVLSv+QTaf9cV/lQAWH/H1qH/AF3H/oC1fqhYf8fWof8AXcf+gLV+gBr/AOrb6GqWlf8AIItP+uK/yq6/+rb6GqWlf8gi0/64r/KgC5RRRQAVU0n/AI83/wCu8v8A6Gat1U0n/jzf/rvL/wChmgC9R2oo7UANT7i/SnU1PuL9KdQAUUUUAFHaijtQA1PuL9KdTU+4v0p1ABRRRQAUUUUAQWn+pb/ro/8A6EanqC0/1Lf9dH/9CNT0AFFFFABRRRQA1fvN9adTV+831p1ABRRRQAUUUUANX7zfWnU1fvN9adQA1/8AVt9DVLSv+QTaf9cV/lV1/wDVt9DVLSv+QTaf9cV/lQAWH/H1qH/Xcf8AoC1fqhYf8fWof9dx/wCgLV+gBr/6tvoapaV/yCLT/riv8quv/q2+hqlpX/IItP8Ariv8qALlQ3V1b2NrJdXUyQwRLueSRsKo9zU1c/4yUjRYJmUtBb39rPcADOIkmRmJHoANx9hQBrWGo2eqW32ixuI54txUsh6MOoPofY1W0G4WWG7hz88N1KrD2LEj9D+lZvhmeK+1jxBqFnIsthPcRCKaM5SVliUMynoR0XI7qfSmQveWF6t5FDCbeeZ7eQtIRz5jbGPHHJI/4EKqKvoJ6HV0dqqxyXxB8yCFT2xKT/7LT991j/VRf9/D/hUjJU+4v0p1Vke62L+6i6f89D/hTt91/wA8ov8Av4f8KAJ6Kg33X/PKL/v4f8KN91/zyi/7+H/CgCejtUG+6/55Rf8Afw/4Ub7rH+qi/wC/h/woAlT7i/SnVWR7rYv7qLp/z0P+FO33X/PKL/v4f8KAJ6Kg33X/ADyi/wC/h/wo33X/ADyi/wC/h/woAnoqDfdf88ov+/h/wo33X/PKL/v4f8KAC0/1Lf8AXR//AEI1PVG0e68lv3UX33/5aH+8fap991/zyi/7+H/CgCeioN91/wA8ov8Av4f8KN91/wA8ov8Av4f8KAJ6Kg33X/PKL/v4f8KN91/zyi/7+H/CgCVfvN9adVZXust+6i6/89D/AIU7fdf88ov+/h/woAnoqDfdf88ov+/h/wAKN91/zyi/7+H/AAoAnoqDfdf88ov+/h/wo33X/PKL/v4f8KAJV+831p1Vle6y37qLr/z0P+FO33X/ADyi/wC/h/woAS+uEtLGe4k+7GhY+/HSq+j7v7Fst33vITP1xVPUXuL29hsBHHsjxcT4c4wD8qnjuwz/AMBq7pOf7ItM9fJX+VU1ZISeoWH/AB9ah/13H/oC1fqhYf8AH1qH/Xcf+gLV+pGNf/Vt9DVLSv8AkEWn/XFf5Vdf/Vt9DVLSv+QRaf8AXFf5UAXKKKKACs60to7zSbi2lGUklmU/99nmtGqmk/8AHm//AF3l/wDQzRsAmlXMksL29yf9Ltj5cv8AtejfQjn86v8AaszUo5LaZNTt1LPENs0a9ZI+/wCI6j8R3rQiljnhSWJw8bqGVh0INVJdUJdhU+4v0p1NT7i/SnVIwooooAKO1FHagBqfcX6U6mp9xfpTqACiiigAooooAgtP9S3/AF0f/wBCNT1Baf6lv+uj/wDoRqegAooooAKKKKAGr95vrTqav3m+tOoAKKKKACiiigBq/eb61HdXMdnayXExwka5PqfYe9SL95vrWX/yFtSGObKzf8JZR/Rf5/Sqir7ibJdNtpIrWW4uRi6uSZJR/d44X8BgfnTtK/5BNp/1xX+VXX/1bfQ1S0r/AJBNp/1xX+VJu7uCVgsP+PrUP+u4/wDQFq/VCw/4+tQ/67j/ANAWr9IY1/8AVt9DVLSv+QRaf9cV/lV1/wDVt9DVLSv+QRaf9cV/lQBcooooAKqaT/x5v/13l/8AQzVuqmk/8eb/APXeX/0M0AXqyE/4k155R40+4f8AdntDIf4f91j09Dx3Fa9R3EEVzbyQTIHjddrKe4qk7biaHJ9xfpTqyrC4ls5k068csSM20zf8tVH8J/2h+o59a1aTVgTuFFFFIYUdqKO1ADU+4v0p1NT7i/SnUAFFFFABRRRQBBaf6lv+uj/+hGp6gtP9S3/XR/8A0I1PQAUUUUAFFFFADV+831p1NX7zfWnUAFFFFABRRVLUL42qpFCnm3cx2wxZ6nuT6KO5ppXdgbsQX9xLLP8A2dZttuJOZJB/yxj/AL31PQfn2q/bW8VpbR28K7Y4xhRVfTrIWccm5zJPI26aU9XbH6DsB2FXabfRCS6sa/8Aq2+hqlpX/IJtP+uK/wAquv8A6tvoapaV/wAgm0/64r/KpGFh/wAfWof9dx/6AtX6oWH/AB9ah/13H/oC1foAa/8Aq2+hqlpX/IItP+uK/wAquv8A6tvoapaV/wAgi0/64r/KgC5RRWfrWpjR9KkvfIacqyIsSsAXZ3VFGT05YUAaFVNJ/wCPN/8ArvL/AOhml0+e7ubYveWX2OXcR5fmiTj1yKTSf+PN/wDrvL/6GaAL1HaijtQBWubOK+s/JlyBwVZThkYdGB7EVXsbyVZzYXxAulGUcDCzL/eHv6jt9Kvp9xfpUF9ZR30ARyyOp3RyLw0bdiKpPoxNdUWaKz7G+k842N8FS8UZBHCzL/eX+o7VoUmrAncKO1FHakMan3F+lOpqfcX6U6gAooooAKKKKAILT/Ut/wBdH/8AQjU9QWn+pb/ro/8A6EanoAKKKKACiiigBq/eb606mr95vrTqACiiqt9fR2MQZlaSVztiiT70jeg/x7U0r6IL2C/vksolO0yTSHbFEv3nb0H9T2qOwsXhZ7q6YSXko+dh0QdkX2H69aSxsZFla9vCr3jjHH3Yl/ur/U96v027KyEtdWNX7zfWnU1fvN9adUjGv/q2+hqlpX/IJtP+uK/yq6/+rb6GqWlf8gm0/wCuK/yoALD/AI+tQ/67j/0Bav1QsP8Aj61D/ruP/QFq/QA1/wDVt9DVLSv+QRaf9cV/lV1/9W30NUtK/wCQRaf9cV/lQBcrE1LTpGivHuVuNatZtuNLlS38sfMD8u5VzjGfmY1t0UAc74U0ybTl1FjZf2daXFwJLaw3KfIXYoPCkquWBO1SQM+5rS0uJzC7idwvny/IAMffPtWhVTSf+PN/+u8v/oZoAubT/eNG04+8adR2oAYinYvzHpS7T/eNCfcX6U6gCpe2Ed9CEkd1dTujkXhkb1BqvZ3kyz/Yb9tt0BlHAwsy+q+/qO30rTqve2UN9B5UoIwdyOpwyN2IPY1SfRia6om2n+8aNpx941n2l7NBcLY6gR5x/wBVMBhZx/RvUflWl2pNWBO4xFOxfmPSl2n+8aE+4v0p1IY3af7xo2n+8adRQA3af7xo2n+8adRQBWtFPkt8x/1j/wDoRqfaf7xqK0/1Lf8AXR//AEI1PQA3af7xo2n+8adRQA3af7xo2n+8adRQBGqnLfMetO2n+8aF+831qrfX62gSNEM11LxFCp5b3PoB3NNK+iBuwl9erZRqPnlnkO2KFMbnP+Hqe1R2WnyJKby8k8y8cYyPuxr/AHV9vU96fY2DQSNdXTia9kGHfHCj+6o7D+fer1Nu2iFa+rG7T/eNG0/3jTqKkZGqnLfMetO2n+8aF+831p1AEbqfLb5j0NVNK/5BNp/1xX+VXX/1bfQ1S0r/AJBNp/1xX+VABYf8fWof9dx/6AtX6oWH/H1qH/Xcf+gLV+gBr/6tvoapaV/yCLT/AK4r/Krr/wCrb6GqWlf8gi0/64r/ACoAuUUUUAFVNJ/483/67y/+hmrdVNJ/483/AOu8v/oZoAvUdqKO1ADU+4v0p1NT7i/SnUAFFFFAEF3aQ3tu0E67kPocEH1FUre7msp1sdQbcW4gucYEv+yfRv59vStSorm2hu7d4J0DxsOQapPo9hNdUPT7i/SnVk2tzNp0sdnfOXifi3uT/F/sP/teh7/Wtak1YE7hRRRSGFFFFAEFp/qW/wCuj/8AoRqeoLT/AFLf9dH/APQjU9ABRRRQAUUVQvr9oZFtbRBLeyDKofuoP7zeg/nTSuJuwXl/9mk+zwR+deS/6uLPAH95j2UU6wsBal5pX867l/1suMZ9gOwFGn2C2YkZnMtxIcyzMOXP9AOw7Vdpt20QJdWFFFFSMKKKKAGr95vrTqav3m+tOoAa/wDq2+hqlpX/ACCbT/riv8quv/q2+hqlpX/IJtP+uK/yoALD/j61D/ruP/QFq/VCw/4+tQ/67j/0Bav0ANf/AFbfQ1S0r/kEWn/XFf5Vdf8A1bfQ1S0r/kEWn/XFf5UAXKKKKACqmk/8eb/9d5f/AEM1bqppP/Hm/wD13l/9DNAF6jtRR2oAan3F+lOpqfcX6U6gAooooAKO1FHagCGW3iurUwToHjdcMp71Qt55dNuEsrxy8Lnbb3Ld/wDYf/a9D3+taafcX6Uy4t4ru3eCdA8bjDKapPo9hNdUS0Vl2lxLY3K6feuXDf8AHtcN/wAtB/db/aH6/nWpSasCdwooopDILT/Ut/10f/0I1PUFp/qW/wCuj/8AoRqegAooqlqF81vst7dBLeTZEUZ6D1ZvRR/9amld2QN2G3988Ui2lookvZBlVP3UX++3oP51JY2KWUbfMZZ5Dulmb7zn+g9B2osLBbKNizmW4lO6aZurn+gHYdqt02+iEl1Y1fvN9adTV+831p1SMKKKKACiiigBq/eb606mr95vrTqAGv8A6tvoapaV/wAgm0/64r/Krr/6tvoapaV/yCbT/riv8qACw/4+tQ/67j/0Bav1QsP+PrUP+u4/9AWr9ADX/wBW30NUtK/5BFp/1xX+VXX/ANW30NUtK/5BFp/1xX+VACS6pZfbW0yPUbRNTaMslu0imQccNsyCR3rk01HVIfD91A2ozSXT62uni7ZV3IjSopIGMAgFsccHFdxgZzgZ9ayJPDllJp95Zs8+y6uTdlwwDRy7gwZDjjDKCM56d6AIfD89zHqWsaXPdS3SWU0fkyzYL7HjDbWIAzg7ufQir2lXEKwPGZUD+fL8uefvmjStIi0pbhhPPc3FzJ5s9xcFS8jbQoztAAACgAAAcVJpIH2RzgZ8+X/0M0AXd6/3hRvXH3hTqO1ADEddi/MOnrS71/vChPuL9KdQA3ev94Ub1/vCnUUAN3r/AHhRvXH3hTqO1ADEddi/MOnrS71/vChPuL9KdQBXu7e3vbZoJsFG7g4KnsQexFVLC9kSZrC9cG5jGUk6CZP7w9/Uf41p1U1CxF7Cux/LuIzvhlA5Rv8AA9CPSqT6MTXVFnev94Ub1/vCqun3v2yBvMTy7iJtk0f91v8AA9QfSrlJqzsxp3K1o6+S3zD/AFj/APoRqfev94VFaf6lv+uj/wDoRp880VtA88zBI0UszHsKQFe/1COygDY8yVzsiiU8u3Yf4nsKZp9p9n3z3EiyXk2DLIOg9FX0Uf8A16j0+3kuJzqV2hWVxiGJv+WMf/xR6n8u1adU9NEStdRu9f7wo3r/AHhTqKkoYrrlvmHX1pd6/wB4UL95vrTqAG71/vCjev8AeFOooAbvX+8KN6/3hTqKAGK65b5h19aXev8AeFC/eb606gBjuvlt8w6Gqelf8gm0/wCuK/yq6/8Aq2+hqlpX/IJtP+uK/wAqACw/4+tQ/wCu4/8AQFq/VCw/4+tQ/wCu4/8AQFq/QA1/9W30NUtK/wCQRaf9cV/lV1/9W30NUtK/5BFp/wBcV/lQBcooooAKqaT/AMeb/wDXeX/0M1bqppP/AB5v/wBd5f8A0M0AXqO1FHagBqfcX6U6mp9xfpTqACiiigAo7UUdqAGp9xfpTqan3F+lOoAKKKKAMvUkaznXVYFJ8sbbhB/HH6/Vev0yK0kdZI1dGDIwypHQinEZGDWXp3+g3k2lt/qwPNtv+uZPK/8AAT+hFVuvQnZl20/1Lf8AXR//AEI1Qf8A4mup+V1srNwX9JJeoH0Xr9celLcXb22nEQYa5mmaKEf7ZY8/Qck/Sr1laJZWkdvGSQg5Y9WPcn3J5oWiuD1dieiiipKCiiigBq/eb606mr95vrTqACiiigAooooAav3m+tOpq/eb606gBr/6tvoapaV/yCbT/riv8quv/q2+hqlpX/IJtP8Ariv8qACw/wCPrUP+u4/9AWr9ULD/AI+tQ/67j/0Bav0ANf8A1bfQ1S0r/kEWn/XFf5Vdf/Vt9DVLSv8AkEWn/XFf5UAXKKKKACqelMotHBYD9/L3/wBs1cqq2mWLsWazgLE5JKDJNAFven95fzoMiAE7h+dUv7K0/wD58oP+/Yo/srT/APnyg/79igCzBMklvG4IG5QcE1JvT+8v51SGk6cAALKDA/6Zij+ytP8A+fKD/v2KALu9P7y/nRvT+8v51S/srT/+fKD/AL9ij+ytP/58oP8Av2KALu9P7y/nQZEAJ3D86pf2Vp//AD5Qf9+xR/ZWn/8APlB/37FAFmCZJLeNwQNyg4JqTen95fzqkNJ04AAWUGB/0zFH9laf/wA+UH/fsUAXd6f3l/Ojen95fzql/ZWn/wDPlB/37FH9laf/AM+UH/fsUAXd6f3l/Os3WSsUMWoIRvs38w4PWM8OPy5+oFS/2Vp//PlB/wB+xQdJ08jBsrfH/XMU07O4mrozNHZbzUp5SwMVo8iR88F3Ylj+C7R+JroN6f3l/OqKaPpqDC2NuBnP+rFL/ZWn/wDPlB/37FDdwSsXd6f3l/Ojen95fzql/ZWn/wDPlB/37FH9laf/AM+UH/fsUhl3en95fzo3p/eX86pf2Vp//PlB/wB+xR/ZWn/8+UH/AH7FAFmKdHkmXIGxsdevANSb0/vL+dUhpOnAkiyg5/2BR/ZWn/8APlB/37FAF3en95fzo3p/eX86pf2Vp/8Az5Qf9+xR/ZWn/wDPlB/37FAF3en95fzo3p/eX86pf2Vp/wDz5Qf9+xR/ZWn/APPlB/37FAFmKdHkmXIGxsdevANSb0/vL+dUhpOnAkiyg5/2BR/ZWn/8+UH/AH7FAFx3XY3zDoe9U9K/5BNp/wBcV/lR/ZWn/wDPlB/37FWkRY0VEUKqjAA6AUAVbD/j61D/AK7j/wBAWr9ULD/j61D/AK7j/wBAWr9ADX/1bfQ1S0r/AJBFp/1xX+VXX/1bfQ1S0r/kEWn/AFxX+VAFyiiigAooooAa7iONnbOFBJ2qSfwA5Ncl4quotV8JyX9rPqECwSphGikti7b1HzK6qxAzx2Pvjjr6r3tjb6jaPa3cfmQPjcu4jOCCORz1AoA4/wAQxm91PxG01zPEdL0qOezMczIInImYyYBwTlFHOeFx3Ndfp80lzptrPKu2SWFHYehIBNVNT8PaXrE6zX1sZHCeWdsroHTOdjhSA6552tke1alABRRRQAVjazdfa4L7RbQ3CahPaSLDI1tKIVYocEyhdo598+1bNR3EEd1byQShjHIpVgrFTg+hHI+ooA5rwsq6bf3WjTaYlneJBHOzRXbXCTISyg7mCkHKnIx36muprP03RbHSWme1jk82bAklmneaRgM4BdyWwMnAzgZNaFABRRRQAVgeL5JV0eCGOWSJLm+traV42KsI3lVWAI5GQdufet+q97ZW2o2clpdxCWCQYZDkd8jkcgggEEcgigDF8OL9k1fXdMieQ2drPEYVdy/l74lZlBJJxnnHbdXRVT03S7PSYHhs42USOZJGeRpHdjgbmdiWY4AGSegFXKACiiigAqlrFtcXmiX9raOqXM1tJHC7EgK5UhSSORyRV2o7iCO6t5IJQxjkUqwVipwfQjkfUUAc14WVdNv7rRptMSzvEgjnZortrhJkJZQdzBSDlTkY79TXU1n6botjpLTPaxyebNgSSzTvNIwGcAu5LYGTgZwMmtCgAooooAK5rxzCz+HJJ1ubiIwPGwWKQoHJdR82OSBzxnHrniulqve2NvqNo9rdx+ZA+Ny7iM4II5HPUCgDj/EMZvdT8RtNczxHS9KjnszHMyCJyJmMmAcE5RRznhcdzXX6fNJc6bazyrtklhR2HoSATVTU/D2l6xOs19bGRwnlnbK6B0znY4UgOuedrZHtWpQAUUUUAU7D/j61D/ruP/QFq/VCw/4+tQ/67j/0Bav0AIwypHqKybO7FnaRW1xBcLJEoQ7YWYHHGQQD1rXooAz/AO1IP+edz/4Dv/hR/akH/PO5/wDAd/8ACn6rqdvo+my390JDDFtBEa7mJZgoAH1IqPS9atdWa4jhWeKe2YLNBPEY3TIyMg9QR0IyPyoAX+1IP+edz/4Dv/hR/akH/PO5/wDAd/8ACpNU1OHSLE3dwsjRiWKLEYBOXdUHUjjLDPtVygDP/tSD/nnc/wDgO/8AhR/akH/PO5/8B3/wrQooAz/7Ug/553P/AIDv/hR/akH/ADzuf/Ad/wDCtCigDP8A7Ug/553P/gO/+FH9qQf887n/AMB3/wAK0KKAM/8AtSD/AJ53P/gO/wDhR/akH/PO5/8AAd/8K0KKAM/+1IP+edz/AOA7/wCFH9qQf887n/wHf/CtCigDP/tSD/nnc/8AgO/+FH9qQf8APO5/8B3/AMK0KKAM/wDtSD/nnc/+A7/4Uf2pB/zzuf8AwHf/AArQooAz/wC1IP8Annc/+A7/AOFH9qQf887n/wAB3/wrQooAz/7Ug/553P8A4Dv/AIUf2pB/zzuf/Ad/8K0KKAM/+1IP+edz/wCA7/4Uf2pB/wA87n/wHf8AwrQooAz/AO1IP+edz/4Dv/hR/akH/PO5/wDAd/8ACtCigDP/ALUg/wCedz/4Dv8A4Uf2pB/zzuf/AAHf/CtCigDP/tSD/nnc/wDgO/8AhR/akH/PO5/8B3/wrQooAz/7Ug/553P/AIDv/hR/akH/ADzuf/Ad/wDCtCigDP8A7Ug/553P/gO/+FH9qQf887n/AMB3/wAK0KKAKOnJJ/pM8kbR+dLuVGGCAAAM/lV6iigAooooA5/xrbXF54TuoLRJHnaSHaI0LkYlQ5x3wBn8Kzdb8Pz2uhahdCS41LUJ7qznmZYwGZIZkbaiKOyhjjkkk12VFAHnt7Hd6n/wkFzBp18Ip7zTWg822dGkVJI9zBWAYAYOcgYAz0q01n5Pj1rizsHuZ7iVvNuLnT3BtMQkBo7gjayEgDy+Tlifau4ooA868B6Te2mpwS3ZkgvI7No76MaXLCJ5SVy8k7OyTMCGwy9mPQcD0WiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooJwMmgBGZUUsxAUckntWFeeKLeElLZDMw/iPC/8A165rxhreoTsp01g1rA2ZIscyj1rNsb6HULYTQtkHgqeqn0NW6b5efoQqi5+TqdI/ii/Y/KsKj02k/wBamg8Vzhh58CMvcpkGueoqCz0Cx1O11BSYH+YdUbgirlebRSyQSrJE5R1OQRXcaPqa6la5OBMnDr/WgDRooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArN166NrpUhX7z/ID6Z/8ArVpVgeK932CHHTzOfyNAHJVWgsbe2uJp4o9ry434PH5VZopptKyE4pu7CiiikMK1NAujbarGP4ZfkYfXp+tZdT2W77fb7evmLj86APRaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKzdetTdaVIF+8nzgeuP8A61aVBGRg0AeZ0Vs65o7WUxmhQm3Y54/gPpWNQAUUUUAFamgWpudVjP8ADF87H6dP1rOiiknlWOJC7twAK7jR9MXTbXacGZ+Xb+lAGjRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVJtVtQ7Kplk2nBMcTMAfTIGKALjKrqVYAqeCD3rCvfC9vMS9s5hY/wAJ5X/61aH9rW/9y5/8B3/wo/ta3/uXP/gO/wDhQBzj+F79T8rQsPXcR/SpoPCk5YefOir3CZJrd/ta3/uXP/gO/wDhR/a1v/cuf/Ad/wDCgB1jplrp6kQJ8x6u3JNXKo/2tb/3Ln/wHf8Awo/ta3/uXP8A4Dv/AIUAXqKhtrqG7QtC+7acMCCCp9CDyKmoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBr8I30qlpIA0i0x/zyU/pV1/9W30NUtK/5BFp/wBcV/lQBgeJvFdzod+9vDb2rCK0+0gXExR7k7ivlQgA5fgfi68c0668U3cN1eTx2UJ0uxuorS5d5CJdzhMsoxjC+YucnnDegzD4k8M3+q6jdTwRWFwlzaLbxvdu6vZMCx8yLapySSp6qcoOfRLjwvqbG8sI57Z9Nv7qG6uJpGYTKUEYdVULtO7yxySMbjweKANrW9UuLF7C1soYpby+nMMQlYqiAIzszYBOAFPA6kisiDxTqOoTQafY2NqNUH2j7Ss0zeVH5LqhwQuTuLKRxwM56Yq5f6brF21pej7Ab6wvZJbePc6xyQsroFdsEq21gSQCMjpis+18N6xplzFqto1jNqchuftUUsjpEfOdXG1gpPybAOR8wz0oAb/wml3e2b3mmadE8VrYJfXaTTFXG7f+6TAILDy25PHT146+CZLm3jniOY5EDqfUEZFcWng/VNN0+Wz0y4tJBe6clldSzllMbrvzKigHdnzG+UkdBz1rs7a3S1tYbePOyJFRc+gGBQBBBxrV1jvDGT9ctV+qEH/Iauf+uEf83q/QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVAaYY8rb3lxDHkkRrtIH0yDV+igCh9gn/wCglc/98p/8TR9gn/6CVz/3yn/xNX6KAKH2Cf8A6CVz/wB8p/8AE0fYJ/8AoJXP/fKf/E1fooAofYJ/+glc/wDfKf8AxNH2Cf8A6CVz/wB8p/8AE1fooAr2tmlrvYO8kkhBeRzknHSrFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//Z",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def haiku_heart():\n",
    "    vals = np.arange(0, np.pi * 2, 0.01)\n",
    "    x = np.power(np.sin(vals), 3) * 16\n",
    "    y = (\n",
    "        13 * np.cos(vals)\n",
    "        - 5 * np.cos(2 * vals)\n",
    "        - 2 * np.cos(3 * vals)\n",
    "        - np.cos(4 * vals)\n",
    "    )\n",
    "\n",
    "    phase = 0\n",
    "    t0 = time.time() + 0.2\n",
    "    heart_pulse_rate = 80\n",
    "\n",
    "    def gui():\n",
    "        nonlocal heart_pulse_rate, phase, t0\n",
    "        t = time.time()\n",
    "        phase += (t - t0) * heart_pulse_rate / (np.pi * 2)\n",
    "        k = 0.8 + 0.1 * np.cos(phase)\n",
    "        t0 = t\n",
    "        imgui.text(\"Bloat free code\")\n",
    "        implot.begin_plot(\"Heart\")\n",
    "        implot.plot_line(\"\", x * k, y * k)\n",
    "        implot.end_plot()\n",
    "        _, heart_pulse_rate = imgui_knobs.knob(\"Pulse\", heart_pulse_rate, 30, 180)\n",
    "\n",
    "    immapp.run(gui, window_size=(300, 450), fps_idle=20, thumbnail_ratio=0.5, with_implot=True)\n",
    "\n",
    "\n",
    "haiku_heart()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# An example with immvision.image\n",
    "\n",
    "Adapted from an OpenCV example: https://docs.opencv.org/4.x/d5/db5/tutorial_laplace_operator.html\n",
    "\n",
    "`immvision.image(label, image, params)` displays an image with an options panel giving extensive visualisation options."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from imgui_bundle import immapp\n",
    "import numpy as np\n",
    "from numpy.typing import NDArray\n",
    "\n",
    "\n",
    "# First, lets define `LaplacianData` (a class that contains an image and its laplacian)\n",
    "class LaplacianData:\n",
    "    src_gray: NDArray[float]\n",
    "    laplacian: NDArray[float]\n",
    "\n",
    "    blur_half_size: int = 1\n",
    "    kernel_half_size: int = 1\n",
    "\n",
    "    params: immvision.ImageParams\n",
    "\n",
    "    def __init__(self, image_file: str):\n",
    "        img = cv2.imread(image_file)\n",
    "        img = cv2.resize(img, dsize=None, fx=0.5, fy=0.5)\n",
    "        gray_uint8 = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "        self.src_gray = gray_uint8 / 255.0\n",
    "        self.update_laplacian()\n",
    "\n",
    "        self.params = immvision.ImageParams()\n",
    "        self.params.image_display_size = (400, 0)\n",
    "        self.params.show_options_panel = True\n",
    "\n",
    "    def update_laplacian(self):\n",
    "        ddepth = cv2.CV_64F\n",
    "        blur_width = self.blur_half_size * 2 + 1\n",
    "        kernel_size = self.kernel_half_size * 2 + 1\n",
    "        blur = cv2.GaussianBlur(self.src_gray, (blur_width, blur_width), 0)\n",
    "        self.laplacian = cv2.Laplacian(blur, ddepth, ksize=kernel_size)\n",
    "\n",
    "\n",
    "# Then let's define `gui_laplacian` (a gui that display and manipulates LaplacianData)\n",
    "def gui_laplacian(data: LaplacianData):\n",
    "    changed1, data.blur_half_size = imgui.slider_int(\n",
    "        \"Blur half size\", data.blur_half_size, 1, 10\n",
    "    )\n",
    "    changed2, data.kernel_half_size = imgui.slider_int(\n",
    "        \"Kernel half size\", data.kernel_half_size, 1, 10\n",
    "    )\n",
    "    changed = changed1 or changed2\n",
    "    if changed:\n",
    "        data.update_laplacian()\n",
    "    data.params.refresh_image = changed\n",
    "    immvision.image(\"Laplacian\", data.laplacian, data.params)\n",
    "\n",
    "\n",
    "# Then, let's instantiate our LaplacianData\n",
    "laplacian_data = LaplacianData(demo_utils.demos_assets_folder() + \"/images/house.jpg\")\n",
    "\n",
    "\n",
    "# Finally, define a parameterless gui function from it\n",
    "def my_gui_laplacian():\n",
    "    gui_laplacian(laplacian_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, let's display and manipulate our laplacian. Since it is a float matrix, you can apply ColorMaps to it in the options panel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Glfw Error 65548: Cocoa: Regular windows do not have icons on macOS\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "immapp.run(my_gui_laplacian, thumbnail_ratio=0.5)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "v314 (3.14.2)",
   "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": "3.14.2"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}