stream.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-16T22:36:26.303971Z",
     "start_time": "2020-03-16T22:36:26.300929Z"
    }
   },
   "source": [
    "Stream inference with a machine vision camera"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:01:59.628946Z",
     "start_time": "2020-03-17T03:01:59.059794Z"
    }
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "from pathlib import Path\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import torch\n",
    "from PIL import Image\n",
    "from skimage.measure import label, regionprops\n",
    "\n",
    "from fiducial_detect.data import *\n",
    "from fiducial_detect.models import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:01:59.632636Z",
     "start_time": "2020-03-17T03:01:59.630244Z"
    }
   },
   "outputs": [],
   "source": [
    "sys.path.append('../multi_pyspin/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:01.026917Z",
     "start_time": "2020-03-17T03:01:59.634411Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "19061245 - connected\n"
     ]
    }
   ],
   "source": [
    "import multi_pyspin"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-16T22:44:43.380285Z",
     "start_time": "2020-03-16T22:44:43.378117Z"
    }
   },
   "source": [
    "# Config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:01.031244Z",
     "start_time": "2020-03-17T03:02:01.028784Z"
    }
   },
   "outputs": [],
   "source": [
    "file_yaml = Path('cam.yaml')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:01.037867Z",
     "start_time": "2020-03-17T03:02:01.032780Z"
    }
   },
   "outputs": [],
   "source": [
    "file_model = Path('training/attempt_2/checkpoints/best.pth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:01.044567Z",
     "start_time": "2020-03-17T03:02:01.038953Z"
    }
   },
   "outputs": [],
   "source": [
    "sz = (512, 384)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Setup camera"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:01.131086Z",
     "start_time": "2020-03-17T03:02:01.045911Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "19061245 - setting up...\n",
      "19061245 - executing: \"UserSetSelector.SetValue(PySpin.UserSetDefault_Default)\"\n",
      "19061245 - executing: \"UserSetLoad.Execute()\"\n",
      "19061245 - executing: \"LineSelector.SetValue(PySpin.LineSelector_Line2)\"\n",
      "19061245 - executing: \"V3_3Enable.SetValue(True)\"\n",
      "19061245 - executing: \"AcquisitionFrameRateEnable.SetValue(True)\"\n",
      "19061245 - executing: \"AcquisitionFrameRate.SetValue(5)\"\n",
      "19061245 - executing: \"ExposureMode.SetValue(PySpin.ExposureMode_Timed)\"\n",
      "19061245 - executing: \"ExposureAuto.SetValue(PySpin.ExposureAuto_Off)\"\n",
      "19061245 - executing: \"ExposureTime.SetValue(60000)\"\n",
      "19061245 - executing: \"GainSelector.SetValue(PySpin.GainSelector_All)\"\n",
      "19061245 - executing: \"GainAuto.SetValue(PySpin.GainAuto_Off)\"\n",
      "19061245 - executing: \"Gain.SetValue(6)\"\n",
      "19061245 - executing: \"BlackLevelSelector.SetValue(PySpin.BlackLevelSelector_All)\"\n",
      "19061245 - executing: \"BlackLevel.SetValue(0)\"\n",
      "19061245 - executing: \"GammaEnable.SetValue(False)\"\n",
      "19061245 - executing: \"PixelFormat.SetValue(PySpin.PixelFormat_Mono16)\"\n",
      "19061245 - executing: \"AdcBitDepth.SetValue(PySpin.AdcBitDepth_Bit12)\"\n"
     ]
    }
   ],
   "source": [
    "serial = multi_pyspin.setup(file_yaml.as_posix())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:01.136060Z",
     "start_time": "2020-03-17T03:02:01.132825Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "19061245 - executing: \"TLStream.StreamBufferHandlingMode.SetValue(PySpin.StreamBufferHandlingMode_NewestOnly)\"\n",
      "19061245 - executing: \"AcquisitionMode.SetValue(PySpin.AcquisitionMode_Continuous)\"\n"
     ]
    }
   ],
   "source": [
    "multi_pyspin.node_cmd(serial, 'TLStream.StreamBufferHandlingMode', 'SetValue', 'RW', 'PySpin.StreamBufferHandlingMode_NewestOnly')\n",
    "multi_pyspin.node_cmd(serial, 'AcquisitionMode', 'SetValue', 'RW', 'PySpin.AcquisitionMode_Continuous')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:01.224672Z",
     "start_time": "2020-03-17T03:02:01.137493Z"
    }
   },
   "outputs": [],
   "source": [
    "multi_pyspin.start_acquisition(serial)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:05.403297Z",
     "start_time": "2020-03-17T03:02:01.225951Z"
    }
   },
   "outputs": [],
   "source": [
    "# Model\n",
    "in_channels  = 1\n",
    "out_channels = 5\n",
    "layout_encoder = [[[48,5,2,2]],\n",
    "                  [[48,3,1,1],[48,3,2,1]],\n",
    "                  [[60,3,1,1],[60,3,2,1]],\n",
    "                  [[72,3,1,1],[144,3,2,1]]]\n",
    "model = UNET(get_encoder(in_channels, layout_encoder), out_channels)\n",
    "model = model.to('cuda')\n",
    "model.load_state_dict(torch.load(file_model)['model'])\n",
    "model = model.eval()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Stream images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:05.406287Z",
     "start_time": "2020-03-17T03:02:05.404236Z"
    }
   },
   "outputs": [],
   "source": [
    "def _get_img():\n",
    "    return multi_pyspin.get_image(serial)['image'].GetNDArray() # Might result in mem leak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:05.422736Z",
     "start_time": "2020-03-17T03:02:05.407345Z"
    }
   },
   "outputs": [],
   "source": [
    "def _format_img(img):\n",
    "    img = img/(2**16-1) # 16 bit unsigned\n",
    "    img = np.array(Image.fromarray(img).resize(sz, resample=Image.BILINEAR))\n",
    "    img = normalize(img, (0, 1), (-1, 1))\n",
    "    return img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:05.432619Z",
     "start_time": "2020-03-17T03:02:05.426032Z"
    }
   },
   "outputs": [],
   "source": [
    "def _get_mask(img):\n",
    "    # Tensorify image and send to device\n",
    "    img = torch.tensor(img)[None, None, :, :]\n",
    "    img = img.to('cuda')\n",
    "    # Do inference\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        mask = model(img)\n",
    "        mask = mask.argmax(dim=1)\n",
    "        mask = mask[0, :, :].cpu().detach().numpy()\n",
    "    return mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:34.172958Z",
     "start_time": "2020-03-17T03:02:05.438481Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
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       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
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       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "cs = ['r', 'g', 'b', 'y']\n",
    "texts = [ax.text(0, 0, str(idx+1),\n",
    "                 c='white',\n",
    "                 horizontalalignment='center',\n",
    "                 verticalalignment='center') for idx in range(4)]\n",
    "rects = [ax.add_patch(plt.Rectangle((0, 0), 0, 0,\n",
    "                                    fill=False,\n",
    "                                    color=cs[idx],\n",
    "                                    linewidth=2)) for idx in range(4)]\n",
    "imshow = ax.imshow(-np.ones((sz[1], sz[0])), cmap='gray', vmin=-1, vmax=1)\n",
    "fig.canvas.draw()\n",
    "try:\n",
    "    while True:\n",
    "        # Get mask\n",
    "        img = _get_img()\n",
    "        img = _format_img(img)\n",
    "        mask = _get_mask(img)\n",
    "        \n",
    "        # Plot\n",
    "        plots = []\n",
    "        for idx in range(4):\n",
    "            l = label(mask == (idx+1))\n",
    "            regions = regionprops(l)\n",
    "            if len(regions) > 0:\n",
    "                region = regions[np.argmax([r.area for r in regions])]\n",
    "                texts[idx].set_position((region.centroid[1], region.centroid[0]))\n",
    "                rects[idx].set_bounds(region.bbox[1], region.bbox[0],\n",
    "                                      region.bbox[3]-region.bbox[1],\n",
    "                                      region.bbox[2]-region.bbox[0])\n",
    "            else:\n",
    "                texts[idx].set_position((0, 0))\n",
    "                rects[idx].set_bounds(0,0,0,0)\n",
    "        imshow.set_data(img)\n",
    "        fig.canvas.draw()\n",
    "        \n",
    "except KeyboardInterrupt:\n",
    "    pass\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cleanup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-17T03:02:46.253918Z",
     "start_time": "2020-03-17T03:02:46.192514Z"
    }
   },
   "outputs": [],
   "source": [
    "multi_pyspin.end_acquisition(serial)\n",
    "multi_pyspin.deinit(serial)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.6.9"
  },
  "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"
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   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}