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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- Autogenerated by `scripts/make_examples.py` -->\n",
    "<table align=\"left\">\n",
    "    <td>\n",
    "        <a target=\"_blank\" href=\"https://colab.research.google.com/github/voxel51/fiftyone-examples/blob/master/examples/heatmaps.ipynb\">\n",
    "            <img src=\"https://user-images.githubusercontent.com/25985824/104791629-6e618700-5769-11eb-857f-d176b37d2496.png\" height=\"32\" width=\"32\">\n",
    "            Try in Google Colab\n",
    "        </a>\n",
    "    </td>\n",
    "    <td>\n",
    "        <a target=\"_blank\" href=\"https://nbviewer.jupyter.org/github/voxel51/fiftyone-examples/blob/master/examples/heatmaps.ipynb\">\n",
    "            <img src=\"https://user-images.githubusercontent.com/25985824/104791634-6efa1d80-5769-11eb-8a4c-71d6cb53ccf0.png\" height=\"32\" width=\"32\">\n",
    "            Share via nbviewer\n",
    "        </a>\n",
    "    </td>\n",
    "    <td>\n",
    "        <a target=\"_blank\" href=\"https://github.com/voxel51/fiftyone-examples/blob/master/examples/heatmaps.ipynb\">\n",
    "            <img src=\"https://user-images.githubusercontent.com/25985824/104791633-6efa1d80-5769-11eb-8ee3-4b2123fe4b66.png\" height=\"32\" width=\"32\">\n",
    "            View on GitHub\n",
    "        </a>\n",
    "    </td>\n",
    "    <td>\n",
    "        <a href=\"https://github.com/voxel51/fiftyone-examples/raw/master/examples/heatmaps.ipynb\" download>\n",
    "            <img src=\"https://user-images.githubusercontent.com/25985824/104792428-60f9cc00-576c-11eb-95a4-5709d803023a.png\" height=\"32\" width=\"32\">\n",
    "            Download notebook\n",
    "        </a>\n",
    "    </td>\n",
    "</table>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <span style=\"color: orange\">**FiftyOne Heatmaps**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Learning how to use heatmaps in FiftyOne and a pose estimation example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A basic heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Sample: {\n",
      "    'id': None,\n",
      "    'media_type': 'image',\n",
      "    'filepath': '/path/to/image.png',\n",
      "    'tags': [],\n",
      "    'metadata': None,\n",
      "    'heatmap1': <Heatmap: {\n",
      "        'id': '651c2983ba6f926495470215',\n",
      "        'tags': [],\n",
      "        'map': None,\n",
      "        'map_path': '/tmp/heatmap.png',\n",
      "        'range': None,\n",
      "    }>,\n",
      "    'heatmap2': <Heatmap: {\n",
      "        'id': '651c2983ba6f926495470216',\n",
      "        'tags': [],\n",
      "        'map': array([[160, 101, 116, ..., 242, 248,  84],\n",
      "               [118,  56, 208, ..., 221, 210,  70],\n",
      "               [ 49, 228, 245, ..., 111,  19, 139],\n",
      "               ...,\n",
      "               [ 88, 155, 104, ...,   8, 179, 127],\n",
      "               [ 31, 152,  90, ..., 239, 220, 149],\n",
      "               [ 33, 243,  64, ..., 185, 199,  81]], dtype=uint8),\n",
      "        'map_path': None,\n",
      "        'range': None,\n",
      "    }>,\n",
      "}>\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "import fiftyone as fo\n",
    "\n",
    "# Example heatmap\n",
    "map_path = \"/tmp/heatmap.png\"\n",
    "map = np.random.randint(256, size=(128, 128), dtype=np.uint8)\n",
    "cv2.imwrite(map_path, map)\n",
    "\n",
    "sample = fo.Sample(filepath=\"/path/to/image.png\")\n",
    "sample[\"heatmap1\"] = fo.Heatmap(map_path=map_path)\n",
    "sample[\"heatmap2\"] = fo.Heatmap(map=map)\n",
    "\n",
    "print(sample)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting up [SWAHR-HumanPose](https://github.com/greatlog/SWAHR-HumanPose/tree/master) Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is highly suggested that you use an venv such as conda to set up a seperate enviroment for the following. Refer to [this README](https://github.com/HRNet/HigherHRNet-Human-Pose-Estimation/blob/master/README.md) for trouble shooting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!git clone https://github.com/greatlog/SWAHR-HumanPose.git"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download the model linked [here](https://drive.google.com/drive/folders/13FFvwK7bDZLD4H_toueopbLhJqFjimlu), I used pose_higher_hrnet_w32_512.pth, make sure to place in the ./models dir in the SWAHR repo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# COCOAPI=/path/to/clone/cocoapi\n",
    "!git clone https://github.com/cocodataset/cocoapi.git $COCOAPI\n",
    "!cd $COCOAPI/PythonAPI\n",
    "# Install into global site-packages\n",
    "!make install\n",
    "# Alternatively, if you do not have permissions or prefer\n",
    "# not to install the COCO API into global site-packages\n",
    "!python3 setup.py install --user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# CROWDPOSE=/path/to/clone/crowdpose\n",
    "!git clone https://github.com/Jeff-sjtu/CrowdPose.git $CROWDPOSE\n",
    "!cd $CROWDPOSE/PythonAPI\n",
    "# Install into global site-packages\n",
    "!make install\n",
    "# Alternatively, if you do not have permissions or prefer\n",
    "# not to install the CROWDPOSE API into global site-packages\n",
    "!python3 setup.py install --user\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally you may need to roll back some packages, namely numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip3 install numpy==1.20.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generating Heatmaps"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use the [tools/dist_inference.py](https://github.com/greatlog/SWAHR-HumanPose/blob/master/tools/dist_inference.py) script to generate our heatmaps"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### File changes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make these changes to the appropriate files:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Line 42 in tools/dist_inference.py add make_heatmaps\n",
    "from utils.vis import draw_skeleton, make_heatmaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Line 196 in tools/dist_inference.py add the following block\n",
    "            images,heatmaps = make_heatmaps(image,final_heatmaps[0])\n",
    "            master_heatmap = heatmaps[0]\n",
    "            for x in heatmaps:\n",
    "                master_heatmap = np.maximum(master_heatmap, x)\n",
    "            resized_m_heatmap = cv2.resize(master_heatmap,(image.shape[1],image.shape[0]))\n",
    "            cv2.imwrite(\n",
    "                    os.path.join(save_dir, \"{}_heatmap.png\".format(image_name)),\n",
    "                    resized_m_heatmap\n",
    "                    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Line 84 in lib/utils/vis.py add a extra return variable heatmaps\n",
    "return image_grid, heatmaps"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With our model fully set up to generate and save some heatmaps, we can navigate to the SWAHR repo and run the following command"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#In terminal in SWAHR repo\n",
    "!python3 tools/dist_inference.py   --world_size 1  --img_dir ~/fiftyone/quickstart/data/\n",
    "--save_dir output_quick         --cfg experiments/coco/higher_hrnet/w32_512_adam_lr1e-3.yaml\n",
    "TEST.MODEL_FILE models/pose_higher_hrnet_w32_512.pth    TEST.SCALE_FACTOR '[0.5, 1.0, 2.0]'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lets load our heatmaps in and visualize!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset already downloaded\n",
      "Loading 'quickstart'\n",
      " 100% |█████████████████| 200/200 [2.1s elapsed, 0s remaining, 96.2 samples/s]          \n",
      "Dataset 'quickstart' created\n"
     ]
    },
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' style=\"width: 100%; max-width: 1474px;\"/>\n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "   (function() {\n",
       "     var container = document.getElementById(\"focontainer-8cbfcce1-ead9-41b3-a68f-4efababcc161\");\n",
       "     var overlay = document.getElementById(\"fooverlay-8cbfcce1-ead9-41b3-a68f-4efababcc161\");\n",
       "     fetch(`http://localhost:5151/fiftyone`)\n",
       "     .then(() => {\n",
       "        overlay.addEventListener(\"click\", () => {\n",
       "          fetch(`http://localhost:5151/event`, {\n",
       "            method: \"POST\",\n",
       "            body: JSON.stringify({\n",
       "              event: \"reactivate_notebook_cell\",\n",
       "              data: { subscription: \"8cbfcce1-ead9-41b3-a68f-4efababcc161\" },\n",
       "              subscription: \"8cbfcce1-ead9-41b3-a68f-4efababcc161\"\n",
       "            })\n",
       "          })\n",
       "        });\n",
       "        container.addEventListener(\"mouseenter\", () => overlay.style.display = \"block\");\n",
       "        container.addEventListener(\"mouseleave\", () => overlay.style.display = \"none\");\n",
       "     });\n",
       "   })();\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Could not connect session, trying again in 10 seconds\r\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import fiftyone as fo\n",
    "import fiftyone.zoo as foz\n",
    "\n",
    "\n",
    "dataset = foz.load_zoo_dataset(\"quickstart\")\n",
    "session = fo.launch_app(dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"100%\"\n",
       "            height=\"800\"\n",
       "            src=\"http://localhost:5151/?notebook=True&subscription=b79d8c1e-ea52-4574-b64e-a99d415fdf67\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7f15003abd60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset.compute_metadata()\n",
    "\n",
    "for sample in dataset:\n",
    "    filepath = sample.filepath\n",
    "    base_name = os.path.basename(filepath)\n",
    "    name, extension = os.path.splitext(base_name) \n",
    "    #print(\"./SWAHR-HumanPose/output_quick/\" + name + \"_heatmap.png\")\n",
    "    heatmap = fo.Heatmap(map_path=\"/path/to/SWAHR-HumanPose/output_quick/\" + name + \"_heatmap.png\")\n",
    "\n",
    "    sample[\"heatmap\"] = heatmap\n",
    "    sample.save()\n",
    "\n",
    "session = fo.launch_app(dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### FiftyOne Heatmap Example Output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Sample Image](heatmaps/heatmap.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model Output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Out Image](heatmaps/heat_out.png)"
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