{
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  {
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"
    }
   },
   "cell_type": "markdown",
   "id": "53d2b929",
   "metadata": {},
   "source": [
    "# Uploading Classification Annotations\n",
    "This notebook shows how to upload classification annotations, for the whole image or for some frames:\n",
    "- **category**: the value comes from a fixed list set up in the project (e.g. Normal / Displaced)\n",
    "- **text**: any free text\n",
    "- **label**: marks that something is present, with no value\n",
    "\n",
    "\n",
    "Our example project looks like this:\n",
    "\n",
    "| ![image.png](attachment:image.png) |\n",
    "|-|"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9260ae5d",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3f470fe9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datamint import Api\n",
    "\n",
    "api = Api()\n",
    "\n",
    "PROJECT_NAME = \"Example Project\"\n",
    "resources = list(api.resources.get_list(project_name=PROJECT_NAME))\n",
    "resource = resources[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0522cb1d",
   "metadata": {},
   "source": [
    "## Category annotations\n",
    "The value must be one of the values set up in the project. On the web the user picks it from a dropdown."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf9bf31f",
   "metadata": {},
   "outputs": [],
   "source": [
    "api.annotations.add_category_annotation(resource, identifier='position', value='Displaced')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0db3307f",
   "metadata": {},
   "source": [
    "See more details in the documentation [AnnotationsApi.add_category_annotation](https://sonanceai.github.io/datamint-python-api/datamint.api.endpoints.html#datamint.api.endpoints.annotations_api.AnnotationsApi.add_category_annotation)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fea1989e",
   "metadata": {},
   "source": [
    "## Text annotations\n",
    "The value can be any free text. On the web the user types it in."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "680733d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "api.annotations.add_text_annotation(resource, identifier='findings', value='small fracture line near the joint')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc4f1931",
   "metadata": {},
   "source": [
    "## Label annotations\n",
    "A label has no value: it only marks that something is present."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5ce601e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "api.annotations.add_label_annotation(resource, identifier='Fracture')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a13b856d",
   "metadata": {},
   "source": [
    "## Frame annotations\n",
    "All the methods above also accept frames. Without frames the annotation covers the whole image.\n",
    "- `frame_index`: a single frame, 0-based\n",
    "- `frame_range`: a range of frames as `(start, end)`, where `end` is **not** included, like Python's `range()`. `(42, 46)` covers frames 42, 43, 44 and 45."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7f27f15d",
   "metadata": {},
   "outputs": [],
   "source": [
    "api.annotations.add_category_annotation(resource, identifier='position', value='Normal', frame_index=3)\n",
    "api.annotations.add_category_annotation(resource, identifier='position', value='Displaced', frame_range=(42, 46))\n",
    "api.annotations.add_text_annotation(resource, identifier='findings', value='motion blur', frame_range=(10, 20))\n",
    "api.annotations.add_label_annotation(resource, identifier='Fracture', frame_range=(42, 46))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a563f688",
   "metadata": {},
   "source": [
    "### Setting all frames at once\n",
    "`set_frame_ranges` sets the whole timeline of one annotation in a single call. It **replaces** what you uploaded before for that identifier, so anything not listed is removed. Use `None` as the value for a label.\n",
    "\n",
    "`get_frame_ranges` reads the frame annotations back, with the frames as `(start, end)` ranges."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4b230387",
   "metadata": {},
   "outputs": [],
   "source": [
    "api.annotations.set_frame_ranges(resource, identifier='position', type='category',\n",
    "                                 values={'Displaced': [(0, 10), (20, 30)],\n",
    "                                         'Normal': [(10, 20)]})\n",
    "\n",
    "for record in api.annotations.get_frame_ranges(resource):\n",
    "    print(record['identifier'], record['text_value'], record['frame_ranges'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1746dae",
   "metadata": {},
   "source": [
    "See more details in the documentation:\n",
    "- [AnnotationsApi.add_text_annotation](https://sonanceai.github.io/datamint-python-api/datamint.api.endpoints.html#datamint.api.endpoints.annotations_api.AnnotationsApi.add_text_annotation)\n",
    "- [AnnotationsApi.add_label_annotation](https://sonanceai.github.io/datamint-python-api/datamint.api.endpoints.html#datamint.api.endpoints.annotations_api.AnnotationsApi.add_label_annotation)\n",
    "- [AnnotationsApi.set_frame_ranges](https://sonanceai.github.io/datamint-python-api/datamint.api.endpoints.html#datamint.api.endpoints.annotations_api.AnnotationsApi.set_frame_ranges)\n",
    "- [AnnotationsApi.get_frame_ranges](https://sonanceai.github.io/datamint-python-api/datamint.api.endpoints.html#datamint.api.endpoints.annotations_api.AnnotationsApi.get_frame_ranges)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
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