diff --git a/experiment_management/unet_segmentation_3d_ignite_clearml.ipynb b/experiment_management/unet_segmentation_3d_ignite_clearml.ipynb index 5121b45dfd..e0c7cb8073 100644 --- a/experiment_management/unet_segmentation_3d_ignite_clearml.ipynb +++ b/experiment_management/unet_segmentation_3d_ignite_clearml.ipynb @@ -21,7 +21,7 @@ "\n", "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Project-MONAI/tutorials/blob/main/experiment_management/unet_segmentation_3d_ignite_clearml.ipynb)\n", "\n", - "This tutorial shows how to use ClearML to manage MONAI experiments. You can integrate ClearML into your code using Monai's built-in handlers: `ClearMLImageHandler`, `ClearMLStatsHandler`, and `ModelCheckpoint`.\n", + "This tutorial shows how to use ClearML to manage MONAI experiments. You can integrate ClearML into your code using MONAI's built-in handlers: `ClearMLImageHandler`, `ClearMLStatsHandler`, and `ModelCheckpoint`.\n", "\n", "The MONAI example used here is [3D segmentation with UNet](https://github.com/Project-MONAI/tutorials/blob/main/3d_segmentation/unet_segmentation_3d_ignite.ipynb)." ] @@ -31,7 +31,7 @@ "source": [ "## Setup environment\n", "\n", - "`clearml` comes as part of the `monai[all]` installation. For more information about integrating ClearML into your Monai code, see [here](https://clear.ml/docs/latest/docs/integrations/monai). For more information about using ClearML (experiment management, data management, pipelines, model serving, and more), see [ClearML's official documentation](https://clear.ml/docs/latest/docs/)." + "`clearml` comes as part of the `monai[all]` installation. For more information about integrating ClearML into your MONAI code, see [here](https://clear.ml/docs/latest/docs/integrations/monai). For more information about using ClearML (experiment management, data management, pipelines, model serving, and more), see [ClearML's official documentation](https://clear.ml/docs/latest/docs/)." ], "metadata": { "collapsed": false @@ -113,7 +113,7 @@ " * Sign up for free to the [ClearML Hosted Service](https://app.clear.ml/)\n", " * Set up your own server, see [here](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server).\n", "\n", - "2. Add you ClearML credentials below. ClearML will use these credentials to connect to your server (see instructions for generating credentials [here](https://clear.ml/docs/latest/docs/getting_started/ds/ds_first_steps/#jupyter-notebook))." + "2. Add your ClearML credentials below. ClearML will use these credentials to connect to your server (see instructions for generating credentials [here](https://clear.ml/docs/latest/docs/getting_started/ds/ds_first_steps/#jupyter-notebook))." ], "metadata": { "collapsed": false @@ -350,7 +350,7 @@ "# ClearMLStatsHandler plots loss at every iteration\n", "# Creates a ClearML Task which logs the scalar plots\n", "task_name = \"UNet segmentation 3d\"\n", - "project_name = \"Monai example\"\n", + "project_name = \"MONAI example\"\n", "\n", "train_clearml_stats_handler = ClearMLStatsHandler(\n", " task_name=task_name, project_name=project_name, log_dir=log_dir, output_transform=lambda x: x\n", @@ -513,7 +513,7 @@ { "cell_type": "markdown", "source": [ - "![Monai ClearML Models](./../figures/monai_clearml_models.png)" + "![MONAI ClearML Models](./../figures/monai_clearml_models.png)" ], "metadata": { "id": "Uya6hN7At-C6" @@ -534,7 +534,7 @@ { "cell_type": "markdown", "source": [ - "![monai_clearml_scalars.png](./../figures/monai_clearml_scalars.png)" + "![MONAI ClearML scalars.png](./../figures/monai_clearml_scalars.png)" ], "metadata": { "id": "DCLhp4e2uKsd" @@ -554,7 +554,7 @@ { "cell_type": "markdown", "source": [ - "![monai_clearml_debug_samples.png](./../figures/monai_clearml_debug_samples.png)" + "![MONAI ClearML Debug Samples.png](./../figures/monai_clearml_debug_samples.png)" ], "metadata": { "id": "AFLJauKxt-Yy"