|
21 | 21 | "\n", |
22 | 22 | "[](https://colab.research.google.com/github/Project-MONAI/tutorials/blob/main/experiment_management/unet_segmentation_3d_ignite_clearml.ipynb)\n", |
23 | 23 | "\n", |
24 | | - "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", |
| 24 | + "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", |
25 | 25 | "\n", |
26 | 26 | "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)." |
27 | 27 | ] |
|
31 | 31 | "source": [ |
32 | 32 | "## Setup environment\n", |
33 | 33 | "\n", |
34 | | - "`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/)." |
| 34 | + "`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/)." |
35 | 35 | ], |
36 | 36 | "metadata": { |
37 | 37 | "collapsed": false |
|
113 | 113 | " * Sign up for free to the [ClearML Hosted Service](https://app.clear.ml/)\n", |
114 | 114 | " * Set up your own server, see [here](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server).\n", |
115 | 115 | "\n", |
116 | | - "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))." |
| 116 | + "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))." |
117 | 117 | ], |
118 | 118 | "metadata": { |
119 | 119 | "collapsed": false |
|
350 | 350 | "# ClearMLStatsHandler plots loss at every iteration\n", |
351 | 351 | "# Creates a ClearML Task which logs the scalar plots\n", |
352 | 352 | "task_name = \"UNet segmentation 3d\"\n", |
353 | | - "project_name = \"Monai example\"\n", |
| 353 | + "project_name = \"MONAI example\"\n", |
354 | 354 | "\n", |
355 | 355 | "train_clearml_stats_handler = ClearMLStatsHandler(\n", |
356 | 356 | " task_name=task_name, project_name=project_name, log_dir=log_dir, output_transform=lambda x: x\n", |
|
513 | 513 | { |
514 | 514 | "cell_type": "markdown", |
515 | 515 | "source": [ |
516 | | - "" |
| 516 | + "" |
517 | 517 | ], |
518 | 518 | "metadata": { |
519 | 519 | "id": "Uya6hN7At-C6" |
|
534 | 534 | { |
535 | 535 | "cell_type": "markdown", |
536 | 536 | "source": [ |
537 | | - "" |
| 537 | + "" |
538 | 538 | ], |
539 | 539 | "metadata": { |
540 | 540 | "id": "DCLhp4e2uKsd" |
|
554 | 554 | { |
555 | 555 | "cell_type": "markdown", |
556 | 556 | "source": [ |
557 | | - "" |
| 557 | + "" |
558 | 558 | ], |
559 | 559 | "metadata": { |
560 | 560 | "id": "AFLJauKxt-Yy" |
|
0 commit comments