notebooks/USB_hardware_trigger_and_chunks.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "internal-beijing",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pypylon.pylon as py\n",
    "import pypylon.genicam as geni\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import cv2\n",
    "import time\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "useful-robin",
   "metadata": {},
   "source": [
    "# Hardware triggering Basler ace acA1920-155uc"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "liberal-emission",
   "metadata": {},
   "source": [
    "<div>\n",
    "<img src=\"attachment:image-2.png\" align=\"center\" width=\"500\"/>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "outside-witness",
   "metadata": {},
   "source": [
    "The HW trigger unit is a simple RasperryPi generating 5Hz Signal on it's GPIO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "crude-tsunami",
   "metadata": {},
   "outputs": [],
   "source": [
    "# open the camera\n",
    "tlf = py.TlFactory.GetInstance()\n",
    "cam = py.InstantCamera(tlf.CreateFirstDevice())\n",
    "cam.Open()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "severe-celebrity",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "secret-crest",
   "metadata": {},
   "source": [
    "# first quick check of our input signal\n",
    "\n",
    "* most Basler cameras have chunk feature ( image meta-data transport)\n",
    "* one of the chunks is 'LineStatusAll' \n",
    "* that samples all IO lines on FrameStart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "champion-apache",
   "metadata": {},
   "outputs": [],
   "source": [
    "# sample the io state with max possible framerate and chunks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "promotional-family",
   "metadata": {},
   "outputs": [],
   "source": [
    "# enable the chunk that\n",
    "# samples all IO lines on every FrameStart\n",
    "cam.ChunkModeActive = True\n",
    "cam.ChunkSelector = \"LineStatusAll\"\n",
    "cam.ChunkEnable = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "swedish-cover",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Gain',\n",
       " 'ExposureTime',\n",
       " 'Timestamp',\n",
       " 'LineStatusAll',\n",
       " 'CounterValue',\n",
       " 'SequencerSetActive',\n",
       " 'PayloadCRC16')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cam.ChunkSelector.Symbolics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "quick-fundamental",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000.0\n"
     ]
    }
   ],
   "source": [
    "# set max speed\n",
    "cam.Height = cam.Height.Min\n",
    "cam.Width = cam.Width.Min\n",
    "cam.ExposureTime = cam.ExposureTime.Min\n",
    "\n",
    "# limit to 1khz\n",
    "cam.AcquisitionFrameRateEnable = True\n",
    "cam.AcquisitionFrameRate = 1000\n",
    "\n",
    "print( cam.ResultingFrameRate.Value)\n",
    "cam.StartGrabbingMax(1000)\n",
    "\n",
    "io_res = []\n",
    "while cam.IsGrabbing():\n",
    "    with cam.RetrieveResult(1000) as res:\n",
    "        time_stamp = res.TimeStamp\n",
    "        io_res.append((time_stamp, res.ChunkLineStatusAll.Value))\n",
    "        \n",
    "cam.StopGrabbing()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "offensive-tiger",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(12333104399664, 6),\n",
       " (12333105399987, 6),\n",
       " (12333106400283, 6),\n",
       " (12333107400579, 6),\n",
       " (12333108400902, 6),\n",
       " (12333109401198, 6),\n",
       " (12333110401521, 6),\n",
       " (12333111401817, 6),\n",
       " (12333112402113, 6),\n",
       " (12333113402436, 6)]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# list of timestamp + io status\n",
    "io_res[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "moving-carter",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# simple logic analyzer :-)\n",
    "\n",
    "# convert to numpy array\n",
    "io_array = np.array(io_res)\n",
    "# extract first column timestamps\n",
    "x_vals = io_array[:,0]\n",
    "#  start with first timestamp as '0'\n",
    "x_vals -= x_vals[0]\n",
    "\n",
    "# extract second column io values\n",
    "y_vals = io_array[:,1]\n",
    "# for each bit plot the graph\n",
    "for bit in range(8):\n",
    "    \n",
    "    logic_level = ((y_vals & (1<<bit)) != 0)*0.8 +bit\n",
    "    # plot in seconds\n",
    "    plt.plot(x_vals / 1e9, logic_level, label = bit)\n",
    "    \n",
    "plt.xlabel(\"time [s]\")\n",
    "plt.ylabel(\"IO_LINE [#]\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "refined-franklin",
   "metadata": {},
   "source": [
    "# Grabbing with Hardware Trigger on line4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "touched-blowing",
   "metadata": {},
   "outputs": [],
   "source": [
    "# get clean powerup state\n",
    "cam.UserSetSelector = \"Default\"\n",
    "cam.UserSetLoad.Execute()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "polished-failing",
   "metadata": {},
   "source": [
    "setup the io section"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "abroad-attitude",
   "metadata": {},
   "outputs": [],
   "source": [
    "cam.LineSelector = \"Line4\"\n",
    "cam.LineMode = \"Input\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "grateful-amber",
   "metadata": {},
   "source": [
    "setup the trigger / acquisition controls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "later-insurance",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'RisingEdge'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cam.TriggerSelector = \"FrameStart\"\n",
    "cam.TriggerSource = \"Line4\"\n",
    "cam.TriggerMode = \"On\"\n",
    "cam.TriggerActivation.Value"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "damaged-powder",
   "metadata": {},
   "source": [
    "When trigger is already running we can just extend the grab-timeout to be larger than trigger rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "korean-heath",
   "metadata": {},
   "outputs": [],
   "source": [
    "res = cam.GrabOne(py.waitForever)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "caroline-bride",
   "metadata": {},
   "source": [
    "When the trigger could be off when you start or much longer, that you would want to wait ....\n",
    "\n",
    "options are:\n",
    "\n",
    "* call `cam.RetrieveResult(py.waitForever)`\n",
    "  but this will block until a frame is received\n",
    "* poll `cam.NumReadyBuffers.Value` to check if at least one frame is available\n",
    "* use the pylon background loop to capture"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "decent-execution",
   "metadata": {},
   "source": [
    "## triggered acquisition using the background loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "wireless-growth",
   "metadata": {},
   "outputs": [],
   "source": [
    "# definition of event handler class \n",
    "class TriggeredImage(py.ImageEventHandler):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.grab_times = []\n",
    "    def OnImageGrabbed(self, camera, grabResult):\n",
    "        self.grab_times.append(grabResult.TimeStamp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "expected-worry",
   "metadata": {},
   "outputs": [],
   "source": [
    "# create event handler instance\n",
    "image_timestamps = TriggeredImage()\n",
    "\n",
    "# register handler\n",
    "# remove all other handlers\n",
    "cam.RegisterImageEventHandler(image_timestamps, \n",
    "                              py.RegistrationMode_ReplaceAll, \n",
    "                              py.Cleanup_None)\n",
    "\n",
    "# start grabbing with background loop\n",
    "cam.StartGrabbingMax(100, py.GrabStrategy_LatestImages, py.GrabLoop_ProvidedByInstantCamera)\n",
    "# wait ... or do something relevant\n",
    "while cam.IsGrabbing():\n",
    "    time.sleep(0.1)\n",
    "# stop grabbing\n",
    "cam.StopGrabbing()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "strategic-preference",
   "metadata": {},
   "outputs": [],
   "source": [
    "# let's check how precise the image acquisition was:\n",
    "# assumption: the camera main oscillator has a much higher precision\n",
    "#             than the raspberry-pi PWM output\n",
    "\n",
    "# frame_delta = np.diff(np.array(image_timestamps.grab_times))/1e6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "jewish-negative",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([200200248, 200199141, 200173059, 200199843, 200171790, 200171547,\n",
       "       200199681, 200199195, 200173005, 200199735, 200171898, 200166525,\n",
       "       200171250, 200171169, 200201031, 200173113, 200171520, 200201571,\n",
       "       200199330, 200172843, 200198493, 200167821, 200166390, 200226384,\n",
       "       200183400, 200172114, 200174463, 200170818, 200169684, 200214261,\n",
       "       200170980, 200168955, 200171817, 200168820, 200173005, 200175381,\n",
       "       200214450, 200182482, 200171628, 200185101, 200180754, 200176623,\n",
       "       200179539, 200173896, 200174706, 200168523, 200201220, 200169657,\n",
       "       200199357, 200173356, 200168361, 200168118, 200167173, 200199762,\n",
       "       200168361, 200181537, 200172357, 200168469, 200175921, 200170764,\n",
       "       200168685, 200171574, 200172060, 200172600, 200172762, 200171979,\n",
       "       200170845, 200204514, 200173140, 200167686, 200166363, 200198304,\n",
       "       200175678, 200168415, 200167443, 200173599, 200198385, 200175840,\n",
       "       200169414, 200197791, 200173518, 200168010, 200167065, 200197386,\n",
       "       200167308, 200167470, 200166822, 200195982, 200171034, 200172330,\n",
       "       200168415, 200236509, 200175030, 200170629, 200206242, 200180673,\n",
       "       200204163, 200214558, 200211156], dtype=int64)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.diff(image_timestamps.grab_times)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "intellectual-butter",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x229d97af040>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "frame_delta_s = np.diff(np.array(image_timestamps.grab_times))/1.e9\n",
    "plt.plot(frame_delta_s, \".\")\n",
    "plt.axhline(np.mean(frame_delta_s))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "circular-gateway",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(frame_delta_s  - np.mean(frame_delta_s) , bins=100)\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "terminal-reflection",
   "metadata": {},
   "outputs": [],
   "source": [
    "cam.Close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "prescribed-composite",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}