diff --git a/AURORA/tutorial.ipynb b/AURORA/tutorial.ipynb index 13bb70c..7c7c061 100644 --- a/AURORA/tutorial.ipynb +++ b/AURORA/tutorial.ipynb @@ -10,25 +10,33 @@ "---\n", "## Getting Started\n", "\n", - "### Setup Colab environment\n", - "If you installed the packages and requirments on your own machine, you can skip this section and start from the import section. Otherwise you can follow and execute the tutorial on your browser. In order to start working on the notebook, click on the following button, this will open this page in the Colab environment and you will be able to execute the code on your own.\n", + "#### This tutorial requires:\n", "\n", - "\n", - " \"Open\n", - "\n", - "\n", - "Now that you are visualizing the notebook in Colab, run the next cell to install the packages we will use. There are few things you should follow in order to properly set the notebook up:\n", - "1. Warning: This notebook was not authored by Google. Click on 'Run anyway'.\n", - "1. When the installation commands are done, there might be a \"Restart runtime\" button at the end of the output. Please, click it." + " - Python 3.10+\n", + " \n", + "#### Optional but recommended:\n", + " \n", + " - GPU with CUDA support and at least 8GB of VRAM (*otherwise CPU can be used*) \n" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 1, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Das System kann den angegebenen Pfad nicht finden.\n" + ] + } + ], "source": [ - "!pip install brainles_aurora matplotlib\n", + "# Installations\n", + "!pip install brainles_aurora matplotlib > /dev/null\n", "\n", "%load_ext autoreload\n", "%autoreload 2" @@ -38,47 +46,69 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "By running the next cell you are going to create a folder in your Google Drive. All the files for this tutorial will be uploaded to this folder. After the first execution you might receive some warning and notification, please follow these instructions:\n", - "1. Permit this notebook to access your Google Drive files? Click on 'Yes', and select your account.\n", - "Google Drive for desktop wants to access your Google Account. Click on 'Allow'.\n", - "1. At this point, a folder has been created and you can navigate it through the lefthand panel in Colab, you might also have received an email that informs you about the access on your Google Drive" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Create a folder in your Google Drive\n", - "# from google.colab import drive\n", - "# drive.mount('/content/drive')" + "If you installed the packages and requirments on your own machine, you can skip this section and start from the import section.\n", + "\n", + "### Setup Colab environment (optional) \n", + "Otherwise you can follow and execute the tutorial on your browser.\n", + "In order to start working on the notebook, click on the following button, this will open this page in the Colab environment and you will be able to execute the code on your own (*Google account required*).\n", + "\n", + "\n", + " \"Open\n", + "\n", + "\n", + "(EVA VERSION):\n", + "\n", + " \"\"/\n", + "\n", + "\n", + "Now that you are visualizing the notebook in Colab, run the next cell to install the packages we will use. There are few things you should follow in order to properly set the notebook up:\n", + "1. Warning: This notebook was not authored by Google. Click on 'Run anyway'.\n", + "1. When the installation commands are done, there might be \"Restart runtime\" button at the end of the output. Please, click it." ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "# Don't run this cell if you already cloned the repo\n", - "# !git clone https://github.com/BrainLesion/tutorials.git" + "If you run the next cell in a Google Colab environment, it will **clone the 'tutorials' repository** in your google drive. This will create a **new folder** called \"tutorials\" in **your Google Drive**.\n", + "All generated file will be created/uploaded to your Google Drive respectively.\n", + "\n", + "After the first execution of the next cell, you might receive some warnings and notifications, please follow these instructions:\n", + " - 'Permit this notebook to access your Google Drive files?' Click on 'Yes', and select your account.\n", + " - Google Drive for desktop wants to access your Google Account. Click on 'Allow'.\n", + "\n", + "Afterwards the \"tutorials\" folder has been created. You can navigate it through the lefthand panel in Colab. You might also have received an email that informs you about the access on your Google Drive." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ - "# make files from the repo available in colab\n", "import sys\n", "\n", - "COLAB_BASE_PATH = \"/content/tutorials/AURORA/\"\n", - "sys.path.insert(0, COLAB_BASE_PATH)\n", + "# Check if we are in google colab currently\n", + "try:\n", + " import google.colab\n", + "\n", + " colabFlag = True\n", + "except ImportError as r:\n", + " colabFlag = False\n", + "\n", + "# Execute certain steps only if we are in a colab environment\n", + "if colabFlag:\n", + " # Create a folder in your Google Drive\n", + " from google.colab import drive\n", + "\n", + " drive.mount(\"/content/drive\")\n", + " # clone repository and set path\n", + " !git clone https://github.com/BrainLesion/tutorials.git /content/drive/MyDrive/tutorials\n", + " COLAB_BASE_PATH = \"/content/drive/MyDrive/tutorials/AURORA/\"\n", + " sys.path.insert(0, BASE_PATH)\n", "\n", - "# cd into AURORA folder\n", - "%cd tutorials/AURORA" + "else: # normal jupyter notebook environment\n", + " BASE_PATH = \"./\" # current working directory would be BraTs-Toolkit anyways if you are not in colab" ] }, { @@ -90,13 +120,14 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "from brainles_aurora.inferer import AuroraInferer, AuroraInfererConfig\n", "import nibabel as nib\n", "import numpy as np\n", + "import torch\n", "import utils # local file" ] }, @@ -123,29 +154,31 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "utils.visualize_data()" + "utils.visualize_data(f\"{BASE_PATH}/data\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Using Aurora" + "## Using AURORA" ] }, { @@ -157,24 +190,15 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "INFO:brainles_aurora.inferer.inferer:Initialized AuroraInferer with config: AuroraInfererConfig(log_level=20, device=, cuda_devices='0', tta=True, sliding_window_batch_size=1, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=)\n", - "INFO:brainles_aurora.inferer.inferer:Set CUDA_VISIBLE_DEVICES to 0\n", - "INFO:brainles_aurora.inferer.inferer:Set torch device: cuda\n", - "INFO:brainles_aurora.utils.download:Downloading model weights from Zenodo (https://zenodo.org/api/records/10557069/files-archive). This might take a while...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:brainles_aurora.utils.download:Zip file extracted successfully to /home/ivan_marcel/.local/lib/python3.8/site-packages/brainles_aurora/weights\n" + "[INFO | inferer | L115 ] | 2024-03-14T00:46:43+0100: Initialized AuroraInferer with config: AuroraInfererConfig(log_level=20, device='cpu', cuda_devices='0', tta=False, sliding_window_batch_size=4, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=)\n", + "[INFO | inferer | L148 ] | 2024-03-14T00:46:43+0100: Set torch device: cpu\n" ] }, { @@ -246,11 +270,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:brainles_aurora.inferer.inferer:Infer with config: AuroraInfererConfig(log_level=20, device=, cuda_devices='0', tta=True, sliding_window_batch_size=1, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=) and device: cuda\n", - "INFO:brainles_aurora.inferer.data:Successfully validated input images (received 1). Input mode: NIFTI_FILEPATH\n", - "INFO:brainles_aurora.inferer.data:Received files: T1: False, T1C: True, T2: False, FLAIR: False\n", - "INFO:brainles_aurora.inferer.data:Inference mode: t1c-o\n", - "INFO:brainles_aurora.inferer.model:No loaded compatible model found (Switching from None to t1c-o). Loading Model and weights...\n" + "[INFO | inferer | L191 ] | 2024-03-14T00:46:43+0100: Infer with config: AuroraInfererConfig(log_level=20, device='cpu', cuda_devices='0', tta=False, sliding_window_batch_size=4, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=) and device: cpu\n", + "[INFO | data | L138 ] | 2024-03-14T00:46:43+0100: Successfully validated input images (received 1). Input mode: NIFTI_FILEPATH\n", + "[INFO | data | L160 ] | 2024-03-14T00:46:43+0100: Received files: T1: False, T1C: True, T2: False, FLAIR: False\n", + "[INFO | data | L169 ] | 2024-03-14T00:46:43+0100: Inference mode: t1c-o\n", + "[INFO | model | L58 ] | 2024-03-14T00:46:43+0100: No loaded compatible model found (Switching from None to t1c-o). Loading Model and weights...\n", + "[INFO | model | L63 ] | 2024-03-14T00:46:43+0100: Successfully loaded model.\n", + "[INFO | inferer | L206 ] | 2024-03-14T00:46:43+0100: Setting up Dataloader\n", + "[INFO | inferer | L216 ] | 2024-03-14T00:46:44+0100: Running inference on device := cpu\n" ] }, { @@ -264,200 +291,89 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:brainles_aurora.inferer.model:Successfully loaded model.\n", - "INFO:brainles_aurora.inferer.inferer:Setting up Dataloader\n", - "INFO:brainles_aurora.inferer.inferer:Running inference on device := cuda\n", - "INFO:brainles_aurora.inferer.model:Applying test time augmentations\n", - "INFO:brainles_aurora.inferer.model:Post-processing data\n", - "INFO:brainles_aurora.inferer.model:Returning post-processed data as Dict of Numpy arrays\n", - "INFO:brainles_aurora.inferer.inferer:Finished inference\n", - "INFO:brainles_aurora.inferer.inferer:Saving post-processed data as NIfTI files\n", - "INFO:brainles_aurora.inferer.data:Saved segmentation to output/t1c_segmentation.nii.gz\n", - "INFO:brainles_aurora.inferer.inferer:============================ Finished inference run ============================\n" + "[INFO | model | L205 ] | 2024-03-14T00:49:23+0100: Post-processing data\n", + "[INFO | model | L209 ] | 2024-03-14T00:49:23+0100: Returning post-processed data as Dict of Numpy arrays\n", + "[INFO | inferer | L218 ] | 2024-03-14T00:49:23+0100: Finished inference\n", + "[INFO | inferer | L222 ] | 2024-03-14T00:49:23+0100: Saving post-processed data as NIfTI files\n", + "[INFO | data | L263 ] | 2024-03-14T00:49:24+0100: Saved segmentation to .//output/t1c_segmentation.nii.gz\n", + "[INFO | inferer | L226 ] | 2024-03-14T00:49:24+0100: ============================ Finished inference run ============================\n" ] } ], "source": [ - "# Instantiate the AuroraInferer:\n", - "# will set recommended config defaults for optimal results and attempt to use a GPU if available\n", - "inferer = AuroraInferer()\n", + "# We first need to create an instance of the AuroraInfererConfig class,\n", + "# which will hold the configuration for the inferer.\n", + "# We can then create an instance of the AuroraInferer class, which will be used to perform the inference.\n", "\n", - "# Perform the inference using a T1c MRI and save the segmentation to the specified file:\n", - "_ = inferer.infer(\n", - " t1c=\"data/t1c.nii.gz\",\n", - " segmentation_file=\"output/t1c_segmentation.nii.gz\",\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Fast Demo run" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:brainles_aurora.inferer.inferer:Initialized AuroraInferer with config: AuroraInfererConfig(log_level=20, device=, cuda_devices='0', tta=False, sliding_window_batch_size=4, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=)\n", - "INFO:brainles_aurora.inferer.inferer:Set CUDA_VISIBLE_DEVICES to 0\n", - "INFO:brainles_aurora.inferer.inferer:Set torch device: cuda\n" - ] - }, - { - "data": { - "text/html": [ - "
─────────────────────────────────────────── Thank you for using AURORA ────────────────────────────────────────────\n",
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                         Please support our development by citing the papers listed here:                          \n",
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\n" - ], - "text/plain": [ - " Please support our development by citing the papers listed here: \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
                           https://github.com/BrainLesion/AURORA#citation -- Thank you!                            \n",
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\n" - ], - "text/plain": [ - " \u001b[4;94mhttps://github.com/BrainLesion/AURORA#citation\u001b[0m -- Thank you! \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
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Loading Model and weights...\n", - "INFO:brainles_aurora.inferer.model:Successfully loaded model.\n", - "INFO:brainles_aurora.inferer.inferer:Setting up Dataloader\n", - "INFO:brainles_aurora.inferer.inferer:Running inference on device := cuda\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "BasicUNet features: (32, 32, 64, 128, 256, 32).\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:brainles_aurora.inferer.model:Post-processing data\n", - "INFO:brainles_aurora.inferer.model:Returning post-processed data as Dict of Numpy arrays\n", - "INFO:brainles_aurora.inferer.inferer:Finished inference\n", - "INFO:brainles_aurora.inferer.inferer:Saving post-processed data as NIfTI files\n", - "INFO:brainles_aurora.inferer.data:Saved segmentation to output/t1c_segmentation.nii.gz\n", - "INFO:brainles_aurora.inferer.inferer:============================ Finished inference run ============================\n" - ] - } - ], - "source": [ "config = AuroraInfererConfig(\n", - " # we disable test time augmentations for a quick demo,\n", - " # should be set to True for better results\n", " tta=False,\n", - " # The batch size used for the sliding window inference, decrease if you run out of memory\n", - " # (warning: too small batches might lead to unstable results)\n", + " # we disable test time augmentations for a quick demo\n", + " # should be set to True for better results\n", " sliding_window_batch_size=4,\n", + " # The batch size used for the sliding window inference\n", + " # decrease if you run out of memory\n", + " # warning: too small batches might lead to unstable results\n", + " cuda_devices=\"0\", # optional, if you have multiple GPUs you can specify which one to use\n", + " device=\"cpu\", # uncomment this line to force-use CPU\n", ")\n", "\n", - "# Instantiate the AuroraInferer with the specified config:\n", - "inferer = AuroraInferer(\n", - " config=config,\n", - ")\n", "\n", - "# Perform the inference using a T1c MRI and save the segmentation to the specified file:\n", + "# Now that we have the configuration we can create an instance of the AuroraInferer class.\n", + "# This class will be used to perform the inference. We can then call the infer method to perform the inference.\n", + "inferer = AuroraInferer(config=config)\n", + "\n", + "if torch.cuda.is_available() == False and colabFlag == True:\n", + " raise RuntimeWarning(\n", + " \"You are not using any GPU in Colab! Go to 'Runtime'->'Change Runtime type' to select GPU usage!\"\n", + " )\n", + "\n", + "# The infer method takes the path to the T1c MRI file and the path to the output segmentation file as arguments.\n", + "# The output segmentation file will be created by the infer method and\n", + "# will contain the segmentation of the input T1c MRI.\n", + "\n", + "# The example below shows how to perform the inference using a T1c MRI file:\n", "_ = inferer.infer(\n", - " t1c=\"data/t1c.nii.gz\",\n", - " segmentation_file=\"output/t1c_segmentation.nii.gz\",\n", - ")" + " t1c=f\"{BASE_PATH}/data/t1c.nii.gz\",\n", + " segmentation_file=f\"{BASE_PATH}/output/t1c_segmentation.nii.gz\",\n", + ")\n", + "\n", + "# IMPORTANT: If this cell produces an OutOfMemoryError, you might not have enough VRAM (minimum 8GB).\n", + "# Try using the CPU instead by setting \"useGPU\" to False above" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Visualize results" + "## Visualize results\n", + "\n", + "The segementation comprise of the\n", + "- **metastasis label** (in blue), consiting of contrast-enhancing metastasis and necrosis\n", + "- T2-FLAIR hyperintense **edema label** (in red) \n" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ "utils.visualize_segmentation(\n", - " modality_file=\"data/t1c.nii.gz\",\n", - " segmentation_file=\"output/t1c_segmentation.nii.gz\",\n", + " modality_file=f\"{BASE_PATH}/data/t1c.nii.gz\",\n", + " segmentation_file=f\"{BASE_PATH}/output/t1c_segmentation.nii.gz\",\n", ")" ] }, @@ -472,34 +388,48 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "AURORA also supports different combinations of multi-modal MRI files (see manuscript). It will automatically select a suitable model depending on the inputs supplied.\n", + "AURORA also supports different combinations of multi-modal MRI files [(see manuscript)](https://www.sciencedirect.com/science/article/pii/S016781402389795X). It will automatically select a suitable model depending on the inputs supplied.\n", "\n", "- Any of the following combination of sequences can be supplied: \n", - " - T1-CE + T1 + T2 + T2-FLAIR\n", " - T1-CE only\n", " - T1 only\n", " - T2-FLAIR only\n", " - T1-CE + T2-FLAIR\n", " - T1-CE + T1\n", " - T1-CE + T1 + T2-FLAIR\n", + " - T1-CE + T1 + T2 + T2-FLAIR \n", + " \n", + "- For the last combination (with all 4 sequences), the [(vanilla model)](https://www.sciencedirect.com/science/article/pii/S0167814022045625) can also be used.\n", + "\n", "- Instead of only saving the final output consisting of one file with 2 labels, additional files with labels for the whole lesion (metastasis + edema) or the metastasis only can also be saved.\n", - "- Test-time augmentation can be enabled (tta parameter in config, default = True). Segmentation with TTA will take around 10 times longer than without TTA.\n", "\n", - "The example below shows how to perform the inference using multi-modal inputs." + "- Test-time augmentation can be enabled (tta parameter in config, default = True). Segmentation with TTA will take around 10 times longer than without TTA.\n", + "\n" ] }, { - "cell_type": "code", - "execution_count": 13, + "cell_type": "markdown", "metadata": {}, + "source": [ + "#### The example below shows how to perform the inference using multi-modal inputs.\n", + "*(This may take a while)*" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "INFO:brainles_aurora.inferer.inferer:Initialized AuroraInferer with config: AuroraInfererConfig(log_level=20, device=, cuda_devices='0', tta=True, sliding_window_batch_size=1, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=)\n", - "INFO:brainles_aurora.inferer.inferer:Set CUDA_VISIBLE_DEVICES to 0\n", - "INFO:brainles_aurora.inferer.inferer:Set torch device: cuda\n" + "[INFO | inferer | L115 ] | 2024-03-14T00:49:24+0100: Initialized AuroraInferer with config: AuroraInfererConfig(log_level=20, device=, cuda_devices='0', tta=True, sliding_window_batch_size=1, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=)\n", + "[INFO | inferer | L148 ] | 2024-03-14T00:49:24+0100: Set torch device: cpu\n", + "[INFO | inferer | L115 ] | 2024-03-14T00:49:24+0100: Initialized AuroraInferer with config: AuroraInfererConfig(log_level=20, device='cpu', cuda_devices='0', tta=False, sliding_window_batch_size=4, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=)\n", + "[INFO | inferer | L148 ] | 2024-03-14T00:49:24+0100: Set torch device: cpu\n" ] }, { @@ -571,14 +501,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:brainles_aurora.inferer.inferer:Infer with config: AuroraInfererConfig(log_level=20, device=, cuda_devices='0', tta=True, sliding_window_batch_size=1, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=) and device: cuda\n", - "INFO:brainles_aurora.inferer.data:Successfully validated input images (received 4). Input mode: NIFTI_FILEPATH\n", - "INFO:brainles_aurora.inferer.data:Received files: T1: True, T1C: True, T2: True, FLAIR: True\n", - "INFO:brainles_aurora.inferer.data:Inference mode: t1-t1c-t2-fla\n", - "INFO:brainles_aurora.inferer.model:No loaded compatible model found (Switching from None to t1-t1c-t2-fla). Loading Model and weights...\n", - "INFO:brainles_aurora.inferer.model:Successfully loaded model.\n", - "INFO:brainles_aurora.inferer.inferer:Setting up Dataloader\n", - "INFO:brainles_aurora.inferer.inferer:Running inference on device := cuda\n" + "[INFO | inferer | L191 ] | 2024-03-14T00:49:24+0100: Infer with config: AuroraInfererConfig(log_level=20, device='cpu', cuda_devices='0', tta=False, sliding_window_batch_size=4, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=) and device: cpu\n", + "[INFO | data | L138 ] | 2024-03-14T00:49:24+0100: Successfully validated input images (received 4). Input mode: NIFTI_FILEPATH\n", + "[INFO | data | L160 ] | 2024-03-14T00:49:24+0100: Received files: T1: True, T1C: True, T2: True, FLAIR: True\n", + "[INFO | data | L169 ] | 2024-03-14T00:49:24+0100: Inference mode: t1-t1c-t2-fla\n", + "[INFO | model | L58 ] | 2024-03-14T00:49:24+0100: No loaded compatible model found (Switching from None to t1-t1c-t2-fla). Loading Model and weights...\n", + "[INFO | model | L63 ] | 2024-03-14T00:49:24+0100: Successfully loaded model.\n", + "[INFO | inferer | L206 ] | 2024-03-14T00:49:24+0100: Setting up Dataloader\n", + "[INFO | inferer | L216 ] | 2024-03-14T00:49:24+0100: Running inference on device := cpu\n" ] }, { @@ -592,15 +522,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:brainles_aurora.inferer.model:Applying test time augmentations\n", - "INFO:brainles_aurora.inferer.model:Post-processing data\n", - "INFO:brainles_aurora.inferer.model:Returning post-processed data as Dict of Numpy arrays\n", - "INFO:brainles_aurora.inferer.inferer:Finished inference\n", - "INFO:brainles_aurora.inferer.inferer:Saving post-processed data as NIfTI files\n", - "INFO:brainles_aurora.inferer.data:Saved segmentation to output/multi-modal_segmentation.nii.gz\n", - "INFO:brainles_aurora.inferer.data:Saved whole_network to output/whole_tumor_unbinarized_floats.nii.gz\n", - "INFO:brainles_aurora.inferer.data:Saved metastasis_network to output/metastasis_unbinarized_floats.nii.gz\n", - "INFO:brainles_aurora.inferer.inferer:============================ Finished inference run ============================\n" + "[INFO | model | L205 ] | 2024-03-14T00:52:00+0100: Post-processing data\n", + "[INFO | model | L209 ] | 2024-03-14T00:52:00+0100: Returning post-processed data as Dict of Numpy arrays\n", + "[INFO | inferer | L218 ] | 2024-03-14T00:52:00+0100: Finished inference\n", + "[INFO | inferer | L222 ] | 2024-03-14T00:52:00+0100: Saving post-processed data as NIfTI files\n", + "[INFO | data | L263 ] | 2024-03-14T00:52:00+0100: Saved segmentation to .//output/multi-modal_segmentation.nii.gz\n", + "[INFO | data | L263 ] | 2024-03-14T00:52:00+0100: Saved whole_network to .//output/whole_tumor_unbinarized_floats.nii.gz\n", + "[INFO | data | L263 ] | 2024-03-14T00:52:00+0100: Saved metastasis_network to .//output/metastasis_unbinarized_floats.nii.gz\n", + "[INFO | inferer | L226 ] | 2024-03-14T00:52:00+0100: ============================ Finished inference run ============================\n" ] } ], @@ -608,21 +537,35 @@ "# Instantiate the AuroraInferer\n", "inferer = AuroraInferer()\n", "\n", - "# Use all four input modalities, we also create other outputs and a custom log file\n", + "inferer = AuroraInferer(config=config)\n", + "\n", + "# Use all four input modalities,we also create other outputs and a custom log file\n", "_ = inferer.infer(\n", - " t1=\"data/t1.nii.gz\",\n", - " t1c=\"data/t1c.nii.gz\",\n", - " t2=\"data/t2.nii.gz\",\n", - " fla=\"data/flair.nii.gz\",\n", - " segmentation_file=\"output/multi-modal_segmentation.nii.gz\",\n", + " t1=f\"{BASE_PATH}/data/t1.nii.gz\",\n", + " t1c=f\"{BASE_PATH}/data/t1c.nii.gz\",\n", + " t2=f\"{BASE_PATH}/data/t2.nii.gz\",\n", + " fla=f\"{BASE_PATH}/data/flair.nii.gz\",\n", + " segmentation_file=f\"{BASE_PATH}/output/multi-modal_segmentation.nii.gz\",\n", " # The unbinarized network outputs for the whole tumor channel (edema + enhancing tumor core + necrosis) channel\n", - " whole_tumor_unbinarized_floats_file=\"output/whole_tumor_unbinarized_floats.nii.gz\",\n", + " whole_tumor_unbinarized_floats_file=f\"{BASE_PATH}/output/whole_tumor_unbinarized_floats.nii.gz\",\n", " # The unbinarized network outputs for the metastasis (tumor core) channel\n", - " metastasis_unbinarized_floats_file=\"output/metastasis_unbinarized_floats.nii.gz\",\n", - " log_file=\"output/custom_logfile.log\",\n", + " metastasis_unbinarized_floats_file=f\"{BASE_PATH}/output/metastasis_unbinarized_floats.nii.gz\",\n", + " log_file=f\"{BASE_PATH}/output/custom_logfile.log\",\n", ")" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### In case you have all 4 sequences (t1, t1c, t2, flair) available, you may also use the [(vanilla model)](https://www.sciencedirect.com/science/article/pii/S0167814022045625). \n", + "\n", + "\n", + "" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -632,16 +575,15 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "INFO:brainles_aurora.inferer.inferer:Initialized AuroraInferer with config: AuroraInfererConfig(log_level=20, device=, cuda_devices='4', tta=True, sliding_window_batch_size=1, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=)\n", - "INFO:brainles_aurora.inferer.inferer:Set CUDA_VISIBLE_DEVICES to 4\n", - "INFO:brainles_aurora.inferer.inferer:Set torch device: cuda\n" + "[INFO | inferer | L115 ] | 2024-03-14T00:52:00+0100: Initialized AuroraInferer with config: AuroraInfererConfig(log_level=20, device=, cuda_devices='0', tta=True, sliding_window_batch_size=1, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=)\n", + "[INFO | inferer | L148 ] | 2024-03-14T00:52:00+0100: Set torch device: cpu\n" ] }, { @@ -713,11 +655,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:brainles_aurora.inferer.inferer:Infer with config: AuroraInfererConfig(log_level=20, device=, cuda_devices='4', tta=True, sliding_window_batch_size=1, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=) and device: cuda\n", - "INFO:brainles_aurora.inferer.data:Successfully validated input images (received 1). Input mode: NP_NDARRAY\n", - "INFO:brainles_aurora.inferer.data:Received files: T1: True, T1C: False, T2: False, FLAIR: False\n", - "INFO:brainles_aurora.inferer.data:Inference mode: t1-o\n", - "INFO:brainles_aurora.inferer.model:No loaded compatible model found (Switching from None to t1-o). Loading Model and weights...\n" + "[INFO | inferer | L191 ] | 2024-03-14T00:52:00+0100: Infer with config: AuroraInfererConfig(log_level=20, device=, cuda_devices='0', tta=True, sliding_window_batch_size=1, workers=0, threshold=0.5, sliding_window_overlap=0.5, crop_size=(192, 192, 32), model_selection=) and device: cpu\n", + "[INFO | data | L138 ] | 2024-03-14T00:52:00+0100: Successfully validated input images (received 1). Input mode: NP_NDARRAY\n", + "[INFO | data | L160 ] | 2024-03-14T00:52:00+0100: Received files: T1: True, T1C: False, T2: False, FLAIR: False\n", + "[INFO | data | L169 ] | 2024-03-14T00:52:00+0100: Inference mode: t1-o\n", + "[INFO | model | L58 ] | 2024-03-14T00:52:00+0100: No loaded compatible model found (Switching from None to t1-o). Loading Model and weights...\n" ] }, { @@ -731,14 +673,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:brainles_aurora.inferer.model:Successfully loaded model.\n", - "INFO:brainles_aurora.inferer.inferer:Setting up Dataloader\n", - "INFO:brainles_aurora.inferer.inferer:Running inference on device := cuda\n", - "INFO:brainles_aurora.inferer.model:Applying test time augmentations\n", - "INFO:brainles_aurora.inferer.model:Post-processing data\n", - "INFO:brainles_aurora.inferer.model:Returning post-processed data as Dict of Numpy arrays\n", - "INFO:brainles_aurora.inferer.inferer:Finished inference\n", - "INFO:brainles_aurora.inferer.inferer:============================ Finished inference run ============================\n" + "[INFO | model | L63 ] | 2024-03-14T00:52:01+0100: Successfully loaded model.\n", + "[INFO | inferer | L206 ] | 2024-03-14T00:52:01+0100: Setting up Dataloader\n", + "[INFO | inferer | L216 ] | 2024-03-14T00:52:01+0100: Running inference on device := cpu\n", + "[INFO | model | L201 ] | 2024-03-14T00:54:27+0100: Applying test time augmentations\n", + "[INFO | model | L205 ] | 2024-03-14T01:23:19+0100: Post-processing data\n", + "[INFO | model | L209 ] | 2024-03-14T01:23:19+0100: Returning post-processed data as Dict of Numpy arrays\n", + "[INFO | inferer | L218 ] | 2024-03-14T01:23:19+0100: Finished inference\n", + "[INFO | inferer | L226 ] | 2024-03-14T01:23:19+0100: ============================ Finished inference run ============================\n" ] }, { @@ -750,10 +692,14 @@ } ], "source": [ - "inferer = AuroraInferer(config=AuroraInfererConfig(cuda_devices=\"4\"))\n", + "config = AuroraInfererConfig()\n", + "\n", + "# AuroraInferer(config=config)\n", + "# If you do not have a GPU that supports CUDA use the CPU version (uncomment the line above, comment the GPU inferer)\n", + "inferer = AuroraInferer(config=config)\n", "\n", "# we load the nifty data to a numpy array\n", - "t1_np = nib.load(\"data/t1.nii.gz\").get_fdata()\n", + "t1_np = nib.load(f\"{BASE_PATH}/data/t1.nii.gz\").get_fdata()\n", "\n", "# we can now use the inferer to perform the inference and obtain again a numpy array containing the segmentation\n", "results = inferer.infer(t1=t1_np)\n", @@ -763,31 +709,42 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "#### Example of application" + ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "metasis volume (including edema) 93699\n" + "metasis volume (including edema) 93711\n" ] } ], "source": [ - "# now we can use the capabilities of numpy without having to re-read a nifti file, for example we could compute the number of metastasis voxels (the volume of the metastasis) as follows:\n", + "# Now we can use the capabilities of numpy without having to re-read a nifti file.\n", + "# For example we could compute the number of metastasis voxels (the volume of the metastasis) as follows:\n", + "\n", "whole_metastasis_voxels = results[\"segmentation\"] > 0\n", "print(\"metasis volume (including edema)\", np.count_nonzero(whole_metastasis_voxels))" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "brainles", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -801,7 +758,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.2" } }, "nbformat": 4,