remove task type from model notebooks

Author: djdameln

notebooks/200_models/201_fastflow.ipynb

@@ -75,7 +75,6 @@
     "from PIL import Image\n",
     "from torch.utils.data import DataLoader\n",
     "\n",
-    "from anomalib import TaskType\n",
     "from anomalib.data import MVTec, PredictDataset\n",
     "from anomalib.engine import Engine\n",
     "from anomalib.models import Fastflow\n",
@@ -93,18 +92,7 @@
    "source": [
     "## Data Module\n",
     "\n",
-    "To train the model end-to-end, we do need to have a dataset. In our [previous notebooks](https://github.com/openvinotoolkit/anomalib/tree/main/notebooks/100_datamodules), we demonstrate how to initialize benchmark- and custom datasets. In this tutorial, we will use MVTec AD DataModule. We assume that `datasets` directory is created in the `anomalib` root directory and `MVTec` dataset is located in `datasets` directory.\n",
-    "\n",
-    "Before creating the dataset, let's define the task type that we will be working on. In this notebook, we will be working on a segmentation task. Therefore the `task` variable would be:\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task = TaskType.SEGMENTATION"
+    "To train the model end-to-end, we do need to have a dataset. In our [previous notebooks](https://github.com/openvinotoolkit/anomalib/tree/main/notebooks/100_datamodules), we demonstrate how to initialize benchmark- and custom datasets. In this tutorial, we will use MVTec AD DataModule. We assume that `datasets` directory is created in the `anomalib` root directory and `MVTec` dataset is located in `datasets` directory.\n"
    ]
   },
   {
@@ -123,7 +111,6 @@
     "    train_batch_size=32,\n",
     "    eval_batch_size=32,\n",
     "    num_workers=0,\n",
-    "    task=task,\n",
     ")"
    ]
   },
@@ -541,7 +528,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "anomalib",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -555,14 +542,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.10.14"
   },
-  "orig_nbformat": 4,
-  "vscode": {
-   "interpreter": {
-    "hash": "f26beec5b578f06009232863ae217b956681fd13da2e828fa5a0ecf8cf2ccd29"
-   }
-  }
+  "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 2