examples/HOWTO_run_Faster_R-CNN_with_Ikomia_API.ipynb

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    "<img src='https://github.com/Ikomia-dev/notebooks/blob/main/examples/img/banner_ikomia.png?raw=true'>\n",
    "\n",
    "\n"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "# How to run Faster R-CNN Plus with the Ikomia API "
   ]
  },
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   "source": [
    "\n",
    "**Faster R-CNN** is an advanced machine learning model that efficiently detects and classifies objects in images by integrating a Region Proposal Network (RPN) with Fast R-CNN for faster and more accurate object detection.\n",
    "\n",
    "![faster r-cnn illustration](https://debuggercafe.com/wp-content/uploads/2020/08/street1_800.jpg)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You need to install Ikomia Python API with pip\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install ikomia"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "**-Google Colab ONLY- Restart runtime**\n",
    "\n",
    "Click on the \"RESTART RUNTIME\" button at the end the previous window.\n",
    "\n",
    "---"
   ]
  },
  {
   "attachments": {},
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   "source": [
    "## Run Faster R-CNN on your image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ikomia.dataprocess.workflow import Workflow\n",
    "from ikomia.utils import ik\n",
    "\n",
    "\n",
    "# Init your workflow\n",
    "wf = Workflow()\n",
    "\n",
    "# Add algorithm\n",
    "algo = wf.add_task(ik.infer_torchvision_faster_rcnn(conf_thres='0.5'), auto_connect=True)\n",
    "\n",
    "# Run on your image\n",
    "wf.run_on(url=\"https://github.com/Ikomia-dev/notebooks/blob/main/examples/img/img_city.jpeg?raw=true\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ikomia.utils.displayIO import display\n",
    "from PIL import ImageShow\n",
    "ImageShow.register(ImageShow.IPythonViewer(), 0)\n",
    "\n",
    "# Inpect your result\n",
    "display(algo.get_image_with_graphics())"
   ]
  }
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