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a/_proc/.quarto/idx/index.ipynb.json +++ b/_proc/.quarto/idx/index.ipynb.json @@ -1 +1 @@ -{"title":"bioMONAI","markdown":{"yaml":{"description":"Deep learning library for biomedical data built on top of MONAI","output-file":"index.html","title":"bioMONAI"},"headingText":"Overview","containsRefs":false,"markdown":"\n\n\n\n\n\n[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n![Python Version](https://img.shields.io/badge/python-3.7+-blue.svg)\n![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23f37626.svg?style=flat&logo=jupyter&logoColor=white)\n\n\nbioMONAI is a collaborative platform for developing and deploying deep learning models in medical imaging using the MONAI framework and Jupyter notebooks. This project aims to facilitate interoperability, reproducibility, and community collaboration in biomedical research.\n\n## Table of Contents\n\n- [bioMONAI](#biomonai)\n - [Overview](#overview)\n - [Table of Contents](#table-of-contents)\n - [Installation](#installation)\n - [Getting Started](#getting-started)\n - [Usage](#usage)\n - [Contributing](#contributing)\n - [License](#license)\n - [Contact](#contact)\n\n## Installation\n\nTo install the BioMONAI nbs environment, follow these steps:\n\n1. **Clone the repository:**\n ```bash\n git clone https://github.com/bmandracchia/biomonai.git\n cd biomonai-nbs\n ```\n\n2. **Create a new Conda environment (recommended):**\n ```bash\n conda create -n biomonai python=3.7\n conda activate biomonai\n ```\n\n3. **Install dependencies:**\n ```bash\n pip install -r requirements.txt\n ```\n\n4. **Install MONAI and other necessary packages:**\n ```bash\n pip install bioMONAI\n ```\n\n## Getting Started\n\nTo get started with BioMONAI nbs, follow these steps:\n\n1. **Clone the repository:**\n ```bash\n git clone https://github.com/your_username/biomonai-nbs.git\n cd biomonai-nbs\n ```\n\n2. **Activate your Conda environment:**\n ```bash\n conda activate biomonai\n ```\n\n3. **Open Jupyter Notebook:**\n ```bash\n jupyter notebook\n ```\n\n4. **Navigate to the notebooks directory and open a sample notebook:**\n - You should see a list of available notebooks in your browser. Open one to start exploring!\n\n## Usage\n\nTo use BioMONAI nbs for your own projects, follow these steps:\n\n1. **Create a new Jupyter notebook or open an existing one.**\n2. **Import necessary modules:**\n ```python\n import bioMONAI\n ```\n\n3. **Start coding! You can now leverage MONAI's capabilities alongside the interactive features of Jupyter notebooks.**\n\n## Contributing\n\nWe welcome contributions from the community! To contribute to BioMONAI nbs, follow these steps:\n\n1. **Fork the repository on GitHub.**\n2. **Clone your fork:**\n ```bash\n git clone https://github.com/your_username/biomonai-nbs.git\n cd biomonai-nbs\n ```\n\n3. **Create a new branch for your changes:**\n ```bash\n git checkout -b feature/new-feature\n ```\n\n4. **Make your changes and commit them:**\n ```bash\n git add .\n git commit -m \"Add new feature: \"\n ```\n\n5. **Push to your fork and create a pull request on GitHub.**\n\n6. **Wait for the review, and merge if everything looks good!**\n\n## License\n\nBioMONAI nbs is released under the Apache 2.0 license. See [LICENSE](https://github.com/your_username/biomonai-nbs/blob/main/LICENSE) for more details.\n\n---\n\n## Contact\n\nIf you have any questions or need further assistance, please open an issue on GitHub or contact us directly at:\n\n- Project Lead: [Biagio Mandracchia](mailto:biagio.mandracchia@uva.es)\n- Contributors: [Contributor Names](mailto:contributor1@example.com, contributor2@example.com)\n","srcMarkdownNoYaml":"\n\n\n\n\n\n[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n![Python Version](https://img.shields.io/badge/python-3.7+-blue.svg)\n![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23f37626.svg?style=flat&logo=jupyter&logoColor=white)\n\n## Overview\n\nbioMONAI is a collaborative platform for developing and deploying deep learning models in medical imaging using the MONAI framework and Jupyter notebooks. This project aims to facilitate interoperability, reproducibility, and community collaboration in biomedical research.\n\n## Table of Contents\n\n- [bioMONAI](#biomonai)\n - [Overview](#overview)\n - [Table of Contents](#table-of-contents)\n - [Installation](#installation)\n - [Getting Started](#getting-started)\n - [Usage](#usage)\n - [Contributing](#contributing)\n - [License](#license)\n - [Contact](#contact)\n\n## Installation\n\nTo install the BioMONAI nbs environment, follow these steps:\n\n1. **Clone the repository:**\n ```bash\n git clone https://github.com/bmandracchia/biomonai.git\n cd biomonai-nbs\n ```\n\n2. **Create a new Conda environment (recommended):**\n ```bash\n conda create -n biomonai python=3.7\n conda activate biomonai\n ```\n\n3. **Install dependencies:**\n ```bash\n pip install -r requirements.txt\n ```\n\n4. **Install MONAI and other necessary packages:**\n ```bash\n pip install bioMONAI\n ```\n\n## Getting Started\n\nTo get started with BioMONAI nbs, follow these steps:\n\n1. **Clone the repository:**\n ```bash\n git clone https://github.com/your_username/biomonai-nbs.git\n cd biomonai-nbs\n ```\n\n2. **Activate your Conda environment:**\n ```bash\n conda activate biomonai\n ```\n\n3. **Open Jupyter Notebook:**\n ```bash\n jupyter notebook\n ```\n\n4. **Navigate to the notebooks directory and open a sample notebook:**\n - You should see a list of available notebooks in your browser. Open one to start exploring!\n\n## Usage\n\nTo use BioMONAI nbs for your own projects, follow these steps:\n\n1. **Create a new Jupyter notebook or open an existing one.**\n2. **Import necessary modules:**\n ```python\n import bioMONAI\n ```\n\n3. **Start coding! You can now leverage MONAI's capabilities alongside the interactive features of Jupyter notebooks.**\n\n## Contributing\n\nWe welcome contributions from the community! To contribute to BioMONAI nbs, follow these steps:\n\n1. **Fork the repository on GitHub.**\n2. **Clone your fork:**\n ```bash\n git clone https://github.com/your_username/biomonai-nbs.git\n cd biomonai-nbs\n ```\n\n3. **Create a new branch for your changes:**\n ```bash\n git checkout -b feature/new-feature\n ```\n\n4. **Make your changes and commit them:**\n ```bash\n git add .\n git commit -m \"Add new feature: \"\n ```\n\n5. **Push to your fork and create a pull request on GitHub.**\n\n6. **Wait for the review, and merge if everything looks good!**\n\n## License\n\nBioMONAI nbs is released under the Apache 2.0 license. See [LICENSE](https://github.com/your_username/biomonai-nbs/blob/main/LICENSE) for more details.\n\n---\n\n## Contact\n\nIf you have any questions or need further assistance, please open an issue on GitHub or contact us directly at:\n\n- Project Lead: [Biagio Mandracchia](mailto:biagio.mandracchia@uva.es)\n- Contributors: [Contributor Names](mailto:contributor1@example.com, contributor2@example.com)\n"},"formats":{"html":{"identifier":{"display-name":"HTML","target-format":"html","base-format":"html"},"execute":{"fig-width":7,"fig-height":5,"fig-format":"retina","fig-dpi":96,"df-print":"default","error":false,"eval":true,"cache":null,"freeze":false,"echo":true,"output":true,"warning":true,"include":true,"keep-md":false,"keep-ipynb":false,"ipynb":null,"enabled":false,"daemon":null,"daemon-restart":false,"debug":false,"ipynb-filters":[],"engine":"jupyter"},"render":{"keep-tex":false,"keep-source":false,"keep-hidden":false,"prefer-html":false,"output-divs":true,"output-ext":"html","fig-align":"default","fig-pos":null,"fig-env":null,"code-fold":"none","code-overflow":"scroll","code-link":false,"code-line-numbers":false,"code-tools":false,"tbl-colwidths":"auto","merge-includes":true,"inline-includes":false,"preserve-yaml":false,"latex-auto-mk":true,"latex-auto-install":true,"latex-clean":true,"latex-max-runs":10,"latex-makeindex":"makeindex","latex-makeindex-opts":[],"latex-tlmgr-opts":[],"latex-input-paths":[],"latex-output-dir":null,"link-external-icon":false,"link-external-newwindow":false,"self-contained-math":false,"format-resources":[],"notebook-links":true,"format-links":true},"pandoc":{"standalone":true,"wrap":"none","default-image-extension":"png","to":"html","css":["styles.css"],"toc":true,"output-file":"index.html"},"language":{"toc-title-document":"Table 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MONAI","output-file":"index.html","title":"bioMONAI"},"headingText":"Overview","containsRefs":false,"markdown":"\n\n\n\n\n\n[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n![Python Version](https://img.shields.io/badge/python-3.7+-blue.svg)\n![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23f37626.svg?style=flat&logo=jupyter&logoColor=white)\n\n\nbioMONAI is a collaborative platform for developing and deploying deep learning models in medical imaging using the MONAI framework and Jupyter notebooks. This project aims to facilitate interoperability, reproducibility, and community collaboration in biomedical research.\n\n## Table of Contents\n\n- [bioMONAI](#biomonai)\n - [Overview](#overview)\n - [Table of Contents](#table-of-contents)\n - [Installation](#installation)\n - [Getting Started](#getting-started)\n - [Usage](#usage)\n - [Contributing](#contributing)\n - [License](#license)\n - [Contact](#contact)\n\n## Installation\n\nTo install the BioMONAI nbs environment, follow these steps:\n\n1. **Clone the repository:**\n ```bash\n git clone https://github.com/bmandracchia/biomonai.git\n cd biomonai-nbs\n ```\n\n2. **Create a new Conda environment (recommended):**\n ```bash\n conda create -n biomonai python=3.7\n conda activate biomonai\n ```\n\n3. **Install dependencies:**\n ```bash\n pip install -r requirements.txt\n ```\n\n4. **Install MONAI and other necessary packages:**\n ```bash\n pip install bioMONAI\n ```\n\n## Getting Started\n\nTo get started with BioMONAI nbs, follow these steps:\n\n1. **Clone the repository:**\n ```bash\n git clone https://github.com/your_username/biomonai-nbs.git\n cd biomonai-nbs\n ```\n\n2. **Activate your Conda environment:**\n ```bash\n conda activate biomonai\n ```\n\n3. **Open Jupyter Notebook:**\n ```bash\n jupyter notebook\n ```\n\n4. **Navigate to the notebooks directory and open a sample notebook:**\n - You should see a list of available notebooks in your browser. Open one to start exploring!\n\n## Usage\n\nTo use BioMONAI nbs for your own projects, follow these steps:\n\n1. **Create a new Jupyter notebook or open an existing one.**\n2. **Import necessary modules:**\n ```python\n import bioMONAI\n ```\n\n3. **Start coding! You can now leverage MONAI's capabilities alongside the interactive features of Jupyter notebooks.**\n\n## Contributing\n\nWe welcome contributions from the community! To contribute to BioMONAI nbs, follow these steps:\n\n1. **Fork the repository on GitHub.**\n2. **Clone your fork:**\n ```bash\n git clone https://github.com/your_username/biomonai-nbs.git\n cd biomonai-nbs\n ```\n\n3. **Create a new branch for your changes:**\n ```bash\n git checkout -b feature/new-feature\n ```\n\n4. **Make your changes and commit them:**\n ```bash\n git add .\n git commit -m \"Add new feature: \"\n ```\n\n5. **Push to your fork and create a pull request on GitHub.**\n\n6. **Wait for the review, and merge if everything looks good!**\n\n## License\n\nBioMONAI nbs is released under the Apache 2.0 license. See [LICENSE](https://github.com/your_username/biomonai-nbs/blob/main/LICENSE) for more details.\n\n---\n\n## Contact\n\nIf you have any questions or need further assistance, please open an issue on GitHub or contact us directly at:\n\n- Project Lead: [Biagio Mandracchia](mailto:biagio.mandracchia@uva.es)\n- Contributors: [Contributor Names](mailto:contributor1@example.com, contributor2@example.com)\n","srcMarkdownNoYaml":"\n\n\n\n\n\n[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n![Python Version](https://img.shields.io/badge/python-3.7+-blue.svg)\n![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23f37626.svg?style=flat&logo=jupyter&logoColor=white)\n\n## Overview\n\nbioMONAI is a collaborative platform for developing and deploying deep learning models in medical imaging using the MONAI framework and Jupyter notebooks. This project aims to facilitate interoperability, reproducibility, and community collaboration in biomedical research.\n\n## Table of Contents\n\n- [bioMONAI](#biomonai)\n - [Overview](#overview)\n - [Table of Contents](#table-of-contents)\n - [Installation](#installation)\n - [Getting Started](#getting-started)\n - [Usage](#usage)\n - [Contributing](#contributing)\n - [License](#license)\n - [Contact](#contact)\n\n## Installation\n\nTo install the BioMONAI nbs environment, follow these steps:\n\n1. **Clone the repository:**\n ```bash\n git clone https://github.com/bmandracchia/biomonai.git\n cd biomonai-nbs\n ```\n\n2. **Create a new Conda environment (recommended):**\n ```bash\n conda create -n biomonai python=3.7\n conda activate biomonai\n ```\n\n3. **Install dependencies:**\n ```bash\n pip install -r requirements.txt\n ```\n\n4. **Install MONAI and other necessary packages:**\n ```bash\n pip install bioMONAI\n ```\n\n## Getting Started\n\nTo get started with BioMONAI nbs, follow these steps:\n\n1. **Clone the repository:**\n ```bash\n git clone https://github.com/your_username/biomonai-nbs.git\n cd biomonai-nbs\n ```\n\n2. **Activate your Conda environment:**\n ```bash\n conda activate biomonai\n ```\n\n3. **Open Jupyter Notebook:**\n ```bash\n jupyter notebook\n ```\n\n4. **Navigate to the notebooks directory and open a sample notebook:**\n - You should see a list of available notebooks in your browser. Open one to start exploring!\n\n## Usage\n\nTo use BioMONAI nbs for your own projects, follow these steps:\n\n1. **Create a new Jupyter notebook or open an existing one.**\n2. **Import necessary modules:**\n ```python\n import bioMONAI\n ```\n\n3. **Start coding! You can now leverage MONAI's capabilities alongside the interactive features of Jupyter notebooks.**\n\n## Contributing\n\nWe welcome contributions from the community! To contribute to BioMONAI nbs, follow these steps:\n\n1. **Fork the repository on GitHub.**\n2. **Clone your fork:**\n ```bash\n git clone https://github.com/your_username/biomonai-nbs.git\n cd biomonai-nbs\n ```\n\n3. **Create a new branch for your changes:**\n ```bash\n git checkout -b feature/new-feature\n ```\n\n4. **Make your changes and commit them:**\n ```bash\n git add .\n git commit -m \"Add new feature: \"\n ```\n\n5. **Push to your fork and create a pull request on GitHub.**\n\n6. **Wait for the review, and merge if everything looks good!**\n\n## License\n\nBioMONAI nbs is released under the Apache 2.0 license. See [LICENSE](https://github.com/your_username/biomonai-nbs/blob/main/LICENSE) for more details.\n\n---\n\n## Contact\n\nIf you have any questions or need further assistance, please open an issue on GitHub or contact us directly at:\n\n- Project Lead: [Biagio Mandracchia](mailto:biagio.mandracchia@uva.es)\n- Contributors: [Contributor Names](mailto:contributor1@example.com, contributor2@example.com)\n"},"formats":{"html":{"identifier":{"display-name":"HTML","target-format":"html","base-format":"html"},"execute":{"fig-width":7,"fig-height":5,"fig-format":"retina","fig-dpi":96,"df-print":"default","error":false,"eval":true,"cache":null,"freeze":false,"echo":true,"output":true,"warning":true,"include":true,"keep-md":false,"keep-ipynb":false,"ipynb":null,"enabled":false,"daemon":null,"daemon-restart":false,"debug":false,"ipynb-filters":[],"engine":"jupyter"},"render":{"keep-tex":false,"keep-source":false,"keep-hidden":false,"prefer-html":false,"output-divs":true,"output-ext":"html","fig-align":"default","fig-pos":null,"fig-env":null,"code-fold":"none","code-overflow":"scroll","code-link":false,"code-line-numbers":false,"code-tools":false,"tbl-colwidths":"auto","merge-includes":true,"inline-includes":false,"preserve-yaml":false,"latex-auto-mk":true,"latex-auto-install":true,"latex-clean":true,"latex-max-runs":10,"latex-makeindex":"makeindex","latex-makeindex-opts":[],"latex-tlmgr-opts":[],"latex-input-paths":[],"latex-output-dir":null,"link-external-icon":false,"link-external-newwindow":false,"self-contained-math":false,"format-resources":[],"notebook-links":true,"format-links":true},"pandoc":{"standalone":true,"wrap":"none","default-image-extension":"png","to":"html","css":["styles.css"],"toc":true,"toc-depth":4,"html-math-method":"katex","output-file":"index.html"},"language":{"toc-title-document":"Table 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a/_proc/00_core.ipynb +++ b/_proc/00_core.ipynb @@ -27,6 +27,34 @@ "## Imports" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Engine" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "language": "python" + }, + "outputs": [], + "source": [ + "dblock = DataBlock(blocks=(BioImageBlock(cls=BioImageProject), BioImageBlock(cls=BioImage)),\n", + " get_items=get_image_files,\n", + " get_y=,\n", + " splitter=RandomSplitter(valid_pct=0.2),\n", + " item_tfms=item_tfms,\n", + " )\n", + "\n", + "dblock.summary(path_x)\n", + "\n", + "dls = dblock.dataloaders(path_x, bs=bs)\n", + "dls.show_batch(max_n=8, cmap='gray')" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -159,6 +187,10 @@ "language": "python", "name": "python3" }, + "language_info": { + "name": "python", + "version": "3.11.5" + }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, diff --git a/_proc/01_data.ipynb b/_proc/01_data.ipynb index c984465..e7c8eee 100644 --- a/_proc/01_data.ipynb +++ b/_proc/01_data.ipynb @@ -824,6 +824,10 @@ "language": "python", "name": "python3" }, + "language_info": { + "name": "python", + "version": "3.11.5" + }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, diff --git a/_proc/05_transforms.ipynb b/_proc/05_transforms.ipynb index 683eb07..64c739b 100644 --- a/_proc/05_transforms.ipynb +++ b/_proc/05_transforms.ipynb @@ -108,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 246, "metadata": { "language": "python" }, @@ -120,7 +120,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 247, "metadata": { "language": "python" }, @@ -135,6 +135,13 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "`data_array` is not of type MetaTensor, assuming affine to be identity.\n" + ] + }, { "data": { "image/png": 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@@ -248,7 +255,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 249, "metadata": { "language": "python" }, @@ -259,11 +266,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 250, "metadata": { "language": "python" }, "outputs": [ + { + "data": { + "image/png": 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", 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", @@ -286,6 +303,7 @@ } ], "source": [ + "plot_image(img[30])\n", "plot_image(RandCameraNoise(.01*img[30], camera = 'cmos'))\n", "plot_image(RandCameraNoise(.01*img[30], camera = 'ccd'))" ] diff --git a/_proc/_docs/05_transforms_files/figure-html/cell-4-output-2.png b/_proc/_docs/05_transforms_files/figure-html/cell-4-output-3.png similarity index 100% rename from _proc/_docs/05_transforms_files/figure-html/cell-4-output-2.png rename to _proc/_docs/05_transforms_files/figure-html/cell-4-output-3.png diff --git a/_proc/_docs/05_transforms_files/figure-html/cell-7-output-1.png b/_proc/_docs/05_transforms_files/figure-html/cell-7-output-1.png index 3e7a132..663708b 100644 Binary files a/_proc/_docs/05_transforms_files/figure-html/cell-7-output-1.png and b/_proc/_docs/05_transforms_files/figure-html/cell-7-output-1.png differ diff --git a/_proc/_docs/05_transforms_files/figure-html/cell-7-output-2.png b/_proc/_docs/05_transforms_files/figure-html/cell-7-output-2.png index 66c5016..3e7a132 100644 Binary files a/_proc/_docs/05_transforms_files/figure-html/cell-7-output-2.png and b/_proc/_docs/05_transforms_files/figure-html/cell-7-output-2.png differ diff --git a/_proc/_docs/05_transforms_files/figure-html/cell-7-output-3.png b/_proc/_docs/05_transforms_files/figure-html/cell-7-output-3.png new file mode 100644 index 0000000..66c5016 Binary files /dev/null and b/_proc/_docs/05_transforms_files/figure-html/cell-7-output-3.png differ diff --git a/_proc/_docs/core.html b/_proc/_docs/core.html index 220d332..dc94dcc 100644 --- a/_proc/_docs/core.html +++ b/_proc/_docs/core.html @@ -21,6 +21,40 @@ margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ vertical-align: middle; } +/* CSS for syntax highlighting */ +pre > code.sourceCode { white-space: pre; position: relative; } +pre > code.sourceCode > span { display: inline-block; line-height: 1.25; } +pre > code.sourceCode > span:empty { height: 1.2em; } +.sourceCode { overflow: visible; } +code.sourceCode > span { color: inherit; text-decoration: inherit; } +div.sourceCode { margin: 1em 0; } +pre.sourceCode { margin: 0; } +@media screen { +div.sourceCode { overflow: auto; } +} +@media print { +pre > code.sourceCode { white-space: pre-wrap; } +pre > code.sourceCode > span { text-indent: -5em; padding-left: 5em; } +} +pre.numberSource code + { counter-reset: source-line 0; } +pre.numberSource code > span + { position: relative; left: -4em; counter-increment: source-line; } +pre.numberSource code > span > a:first-child::before + { content: counter(source-line); + position: relative; left: -1em; text-align: right; vertical-align: baseline; + border: none; display: inline-block; + -webkit-touch-callout: none; -webkit-user-select: none; + -khtml-user-select: none; -moz-user-select: none; + -ms-user-select: none; user-select: none; + padding: 0 4px; width: 4em; + } +pre.numberSource { margin-left: 3em; padding-left: 4px; } +div.sourceCode + { } +@media screen { +pre > code.sourceCode > span > a:first-child::before { text-decoration: underline; } +} @@ -229,6 +263,7 @@

On this page

  • Imports
    • +
  • Engine
  • Utils
    • attributesFromDict
      • @@ -267,6 +302,22 @@

      core

      Imports

      +
      +

      Engine

      +
      +
      dblock = DataBlock(blocks=(BioImageBlock(cls=BioImageProject), BioImageBlock(cls=BioImage)),
+                   get_items=get_image_files,
+                   get_y=,
+                   splitter=RandomSplitter(valid_pct=0.2),
+                   item_tfms=item_tfms,
+                  )
+
+dblock.summary(path_x)
+
+dls = dblock.dataloaders(path_x, bs=bs)
+dls.show_batch(max_n=8, cmap='gray')
      +
      +

      Utils

      diff --git a/_proc/_docs/data.html b/_proc/_docs/data.html index 6072f8b..af8234f 100644 --- a/_proc/_docs/data.html +++ b/_proc/_docs/data.html @@ -70,10 +70,10 @@ - + - +

      License Python Version Jupyter Notebook

      @@ -630,9 +680,47 @@

      Contact

      }); } } + var localhostRegex = new RegExp(/^(?:http|https):\/\/localhost\:?[0-9]*\//); + var filterRegex = new RegExp("https:\/\/bmandracchia\.github\.io\/bioMONAI"); + var isInternal = (href) => { + return filterRegex.test(href) || localhostRegex.test(href); + } + // Inspect non-navigation links and adorn them if external + var links = window.document.querySelectorAll('a[href]:not(.nav-link):not(.navbar-brand):not(.toc-action):not(.sidebar-link):not(.sidebar-item-toggle):not(.pagination-link):not(.no-external):not([aria-hidden]):not(.dropdown-item)'); + for (var i=0; i +
      +
      +
      Copyright © 2024 Biagio Mandracchia, MIT License
      +
      +   +
      +
      + +
      +
      +
      diff --git a/_proc/_docs/losses.html b/_proc/_docs/losses.html index c57fe35..d52f8b9 100644 --- a/_proc/_docs/losses.html +++ b/_proc/_docs/losses.html @@ -268,8 +268,16 @@

      On this page

    • Dice Loss
    • DiceLoss
    • Fourier Ring Correlation
      • -
    • FRCLoss
      • -
    • seventh_fourier_ring_correlation
      • +
    • FRCLoss +
      • +
    • seventh_fourier_ring_correlation +

    Report an issue

    diff --git a/_proc/_docs/search.json b/_proc/_docs/search.json index 6619734..1d64b87 100644 --- a/_proc/_docs/search.json +++ b/_proc/_docs/search.json @@ -158,7 +158,7 @@ "href": "transforms.html", "title": "Transforms", "section": "", - "text": "source\n\n\n\n Resample (sampling, **kwargs)\n\nA subclass of Spacing that handles image resampling based on specified sampling factors or voxel dimensions.\nThe Resample class inherits from Spacing and provides a flexible way to adjust the spacing (voxel size) of images by specifying either a sampling factor or explicitly providing new voxel dimensions.\nArgs: sampling (int, optional): Sampling factor for isotropic resampling. Default is 1, indicating no change in resolution. **kwargs: Additional keyword arguments that can include ‘pixdim’ to specify custom voxel dimensions.\nAttributes: pixdim (list or tuple): The voxel dimensions of the image after resampling. If not provided during initialization, this will be determined based on the sampling factor and original image properties.\nMethods: None\nExample Usage: # Creating a Resample object with a specified sampling factor resampler = Resample(sampling=2)\n# Creating a Resample object with custom voxel dimensions\nresampler = Resample(**kwargs={'pixdim': [1.5, 1.5, 3]})\n\nfrom bioMONAI.core import cells3d, img2Tensor\nfrom bioMONAI.visualize import visualize_slices\n\n\nimg = cells3d()[:,0]\n\nvisualize_slices(img, showlines=False)\n\nimg2 = Resample(5)(img2Tensor(img))\n\nvisualize_slices(img2, showlines=False)" + "text": "source\n\n\n\n Resample (sampling, **kwargs)\n\nA subclass of Spacing that handles image resampling based on specified sampling factors or voxel dimensions.\nThe Resample class inherits from Spacing and provides a flexible way to adjust the spacing (voxel size) of images by specifying either a sampling factor or explicitly providing new voxel dimensions.\nArgs: sampling (int, optional): Sampling factor for isotropic resampling. Default is 1, indicating no change in resolution. **kwargs: Additional keyword arguments that can include ‘pixdim’ to specify custom voxel dimensions.\nAttributes: pixdim (list or tuple): The voxel dimensions of the image after resampling. If not provided during initialization, this will be determined based on the sampling factor and original image properties.\nMethods: None\nExample Usage: # Creating a Resample object with a specified sampling factor resampler = Resample(sampling=2)\n# Creating a Resample object with custom voxel dimensions\nresampler = Resample(**kwargs={'pixdim': [1.5, 1.5, 3]})\n\nfrom bioMONAI.core import cells3d, img2Tensor\nfrom bioMONAI.visualize import visualize_slices\n\n\nimg = cells3d()[:,0]\n\nvisualize_slices(img, showlines=False)\n\nimg2 = Resample(5)(img2Tensor(img))\n\nvisualize_slices(img2, showlines=False)\n\n\n\n\n`data_array` is not of type MetaTensor, assuming affine to be identity." }, { "objectID": "transforms.html#utilities", @@ -298,14 +298,14 @@ "href": "transforms.html#sampling", "title": "Transforms", "section": "", - "text": "source\n\n\n\n Resample (sampling, **kwargs)\n\nA subclass of Spacing that handles image resampling based on specified sampling factors or voxel dimensions.\nThe Resample class inherits from Spacing and provides a flexible way to adjust the spacing (voxel size) of images by specifying either a sampling factor or explicitly providing new voxel dimensions.\nArgs: sampling (int, optional): Sampling factor for isotropic resampling. Default is 1, indicating no change in resolution. **kwargs: Additional keyword arguments that can include ‘pixdim’ to specify custom voxel dimensions.\nAttributes: pixdim (list or tuple): The voxel dimensions of the image after resampling. If not provided during initialization, this will be determined based on the sampling factor and original image properties.\nMethods: None\nExample Usage: # Creating a Resample object with a specified sampling factor resampler = Resample(sampling=2)\n# Creating a Resample object with custom voxel dimensions\nresampler = Resample(**kwargs={'pixdim': [1.5, 1.5, 3]})\n\nfrom bioMONAI.core import cells3d, img2Tensor\nfrom bioMONAI.visualize import visualize_slices\n\n\nimg = cells3d()[:,0]\n\nvisualize_slices(img, showlines=False)\n\nimg2 = Resample(5)(img2Tensor(img))\n\nvisualize_slices(img2, showlines=False)" + "text": "source\n\n\n\n Resample (sampling, **kwargs)\n\nA subclass of Spacing that handles image resampling based on specified sampling factors or voxel dimensions.\nThe Resample class inherits from Spacing and provides a flexible way to adjust the spacing (voxel size) of images by specifying either a sampling factor or explicitly providing new voxel dimensions.\nArgs: sampling (int, optional): Sampling factor for isotropic resampling. Default is 1, indicating no change in resolution. **kwargs: Additional keyword arguments that can include ‘pixdim’ to specify custom voxel dimensions.\nAttributes: pixdim (list or tuple): The voxel dimensions of the image after resampling. If not provided during initialization, this will be determined based on the sampling factor and original image properties.\nMethods: None\nExample Usage: # Creating a Resample object with a specified sampling factor resampler = Resample(sampling=2)\n# Creating a Resample object with custom voxel dimensions\nresampler = Resample(**kwargs={'pixdim': [1.5, 1.5, 3]})\n\nfrom bioMONAI.core import cells3d, img2Tensor\nfrom bioMONAI.visualize import visualize_slices\n\n\nimg = cells3d()[:,0]\n\nvisualize_slices(img, showlines=False)\n\nimg2 = Resample(5)(img2Tensor(img))\n\nvisualize_slices(img2, showlines=False)\n\n\n\n\n`data_array` is not of type MetaTensor, assuming affine to be identity." }, { "objectID": "transforms.html#noise", "href": "transforms.html#noise", "title": "Transforms", "section": "Noise", - "text": "Noise\n\nsource\n\nRandCameraNoise\n\n RandCameraNoise (input_image, qe=0.7, gain=2, exp_time=0.1,\n dark_current=0.06, readout=2.5, bitdepth=16, offset=100,\n seed=42, simulation=False, camera='cmos',\n gain_variance=0.1, offset_variance=5)\n\nSimulates camera noise by adding Poisson shot noise, dark current noise, and optionally CMOS fixed pattern noise.\nArgs: input_image (numpy.ndarray): The original image as a NumPy array. qe (float, optional): Quantum efficiency of the camera (0 to 1). Default is 0.7. gain (float or numpy.ndarray, optional): Camera gain factor. If an array, it should be broadcastable with input_image shape. Default is 2. exp_time (float, optional): Exposure time in seconds. Default is 0.1. dark_current (float, optional): Dark current per pixel in electrons/second. Default is 0.06. readout (float, optional): Readout noise standard deviation in electrons. Default is 2.5. bitdepth (int, optional): Bit depth of the camera output. Default is 16. offset (int or float, optional): Offset value to add to each pixel after conversion to ADU. Default is 100. seed (int, optional): Seed for random number generator for reproducibility. Default is 42. simulation (bool, optional): If True, assumes input_image is already in units of photons and does not convert from electrons. Default is False. camera (str, optional): Specifies the type of camera (‘cmos’ or any other). Used to add CMOS fixed pattern noise if ‘cmos’ is specified. Default is ‘cmos’. gain_variance (float, optional): Variance for the gain noise in CMOS cameras. Only applicable if camera type is ‘cmos’. Default is 0.1. offset_variance (float, optional): Variance for the offset noise in CMOS cameras. Only applicable if camera type is ‘cmos’. Default is 5.\nReturns: numpy.ndarray: The noisy image as a NumPy array with dimensions of input_image.\n\nfrom bioMONAI.visualize import plot_image\n\n\nplot_image(RandCameraNoise(.01*img[30], camera = 'cmos'))\nplot_image(RandCameraNoise(.01*img[30], camera = 'ccd'))" + "text": "Noise\n\nsource\n\nRandCameraNoise\n\n RandCameraNoise (input_image, qe=0.7, gain=2, exp_time=0.1,\n dark_current=0.06, readout=2.5, bitdepth=16, offset=100,\n seed=42, simulation=False, camera='cmos',\n gain_variance=0.1, offset_variance=5)\n\nSimulates camera noise by adding Poisson shot noise, dark current noise, and optionally CMOS fixed pattern noise.\nArgs: input_image (numpy.ndarray): The original image as a NumPy array. qe (float, optional): Quantum efficiency of the camera (0 to 1). Default is 0.7. gain (float or numpy.ndarray, optional): Camera gain factor. If an array, it should be broadcastable with input_image shape. Default is 2. exp_time (float, optional): Exposure time in seconds. Default is 0.1. dark_current (float, optional): Dark current per pixel in electrons/second. Default is 0.06. readout (float, optional): Readout noise standard deviation in electrons. Default is 2.5. bitdepth (int, optional): Bit depth of the camera output. Default is 16. offset (int or float, optional): Offset value to add to each pixel after conversion to ADU. Default is 100. seed (int, optional): Seed for random number generator for reproducibility. Default is 42. simulation (bool, optional): If True, assumes input_image is already in units of photons and does not convert from electrons. Default is False. camera (str, optional): Specifies the type of camera (‘cmos’ or any other). Used to add CMOS fixed pattern noise if ‘cmos’ is specified. Default is ‘cmos’. gain_variance (float, optional): Variance for the gain noise in CMOS cameras. Only applicable if camera type is ‘cmos’. Default is 0.1. offset_variance (float, optional): Variance for the offset noise in CMOS cameras. Only applicable if camera type is ‘cmos’. Default is 5.\nReturns: numpy.ndarray: The noisy image as a NumPy array with dimensions of input_image.\n\nfrom bioMONAI.visualize import plot_image\n\n\nplot_image(img[30])\nplot_image(RandCameraNoise(.01*img[30], camera = 'cmos'))\nplot_image(RandCameraNoise(.01*img[30], camera = 'ccd'))" }, { "objectID": "transforms.html#normalization", @@ -320,5 +320,12 @@ "title": "Transforms", "section": "Data Augmentation", "text": "Data Augmentation\n\nUtilities\n\n# # Define a random tensor\n# orig_size = (10, 8)\n# rand_tensor = torch.rand(3, *orig_size) # Random tensor with shape (3, 10, 8)\n\n# # Specify the desired size and top-left corner for cropping\n# size = (12, 9)\n# tl = (2, 3)\n\n# # Perform cropping\n# result_tensor = crop_pad_tensor(rand_tensor, size, tl, orig_size)\n\n# print(\"Original tensor shape:\", rand_tensor.shape)\n# print(\"Cropped tensor shape:\", result_tensor.shape)\n\n\n# Define a random tensor\norig_size = (10, 8)\nrand_tensor = torch.rand(3, *orig_size) # Random tensor with shape (3, 10, 8)\n\ntest_eq((3,)*3,_process_sz(3,ndim=3))\ntest_eq(orig_size,_get_sz((rand_tensor, rand_tensor)))\n\n\n\nRandom Transforms\n\nsource\n\n\nRandCrop2D\n\n RandCrop2D (size:int|tuple, lazy=False, **kwargs)\n\nRandomly crop an image to size\n\n\n\n\n\n\n\n\n\n\nType\nDefault\nDetails\n\n\n\n\nsize\nint | tuple\n\nSize to crop to, duplicated if one value is specified\n\n\nlazy\nbool\nFalse\na flag to indicate whether this transform should execute lazily or not. Defaults to False\n\n\nkwargs\n\n\n\n\n\n\n\nsource\n\n\nRandCropND\n\n RandCropND (size:int|tuple, lazy=False, **kwargs)\n\nRandomly crops an ND image to a specified size.\nThis transform randomly crops an ND image to a specified size during training and performs a center crop during validation. It supports both 2D and 3D images and videos, assuming the first dimension is the batch dimension.\nArgs: size (int or tuple): The size to crop the image to. this can have any number of dimensions. If a single value is provided, it will be duplicated for each spatial dimension, up to a maximum of 3 dimensions. **kwargs: Additional keyword arguments to be passed to the parent class.\n\n\n\n\n\n\n\n\n\n\nType\nDefault\nDetails\n\n\n\n\nsize\nint | tuple\n\nSize to crop to, duplicated if one value is specified\n\n\nlazy\nbool\nFalse\na flag to indicate whether this transform should execute lazily or not. Defaults to False\n\n\nkwargs\n\n\n\n\n\n\n\n# Define a random tensor\norig_size = (65, 65)\nrand_tensor = torch.rand(8, *orig_size) \n\nfor i in range(100):\n test_eq((8,64,64),RandCropND((64,64))(rand_tensor).shape)\n\n\nsource\n\n\nRandCropND_T\n\n RandCropND_T (size:int|tuple, threshold:float, max_count=5, lazy=False,\n **kwargs)\n\nRandomly crops an ND image to a specified size.\nThis transform randomly crops an ND image to a specified size during training and performs a center crop during validation. It supports both 2D and 3D images and videos, assuming the first dimension is the batch dimension.\nArgs: size (int or tuple): The size to crop the image to. this can have any number of dimensions. If a single value is provided, it will be duplicated for each spatial dimension, up to a maximum of 3 dimensions. threshold (float): The minimum average intensity threshold for the cropped patch. **kwargs: Additional keyword arguments to be passed to the parent class.\n\n# Define a random tensor\norig_size = (65, 65)\nrand_tensor = torch.rand(8, *orig_size) \n\nfor i in range(1):\n tst = RandCropND_T((64,64), 1, 2)(rand_tensor)\n test_eq((8,64,64),tst.shape)\n\n\nsource\n\n\nRandFlip\n\n RandFlip (prob=0.1, spatial_axis=None, ndim=2, lazy=False, **kwargs)\n\nRandomly flips an ND image over a specified axis.\n\n\n\n\n\n\n\n\n\n\nType\nDefault\nDetails\n\n\n\n\nprob\nfloat\n0.1\nProbability of flipping\n\n\nspatial_axis\nNoneType\nNone\nSpatial axes along which to flip over. Default is None. The default axis=None will flip over all of the axes of the input array.\n\n\nndim\nint\n2\nIf axis is negative it counts from the last to the first axis. If axis is a tuple of ints, flipping is performed on all of the axes specified in the tuple.\n\n\nlazy\nbool\nFalse\nFlag to indicate whether this transform should execute lazily or not. Defaults to False\n\n\nkwargs\n\n\n\n\n\n\n\n# Define a random tensor\norig_size = (1,4,4)\nrand_tensor = torch.rand(*orig_size) \n\nprint('orig tensor: ', rand_tensor, '\\n')\n\nfor i in range(3):\n print(RandFlip(prob=.75, spatial_axis=None)(rand_tensor))\n\norig tensor: tensor([[[0.8728, 0.8128, 0.0749, 0.1325],\n [0.4135, 0.4166, 0.0704, 0.6041],\n [0.8488, 0.3012, 0.0646, 0.7827],\n [0.2372, 0.3936, 0.7666, 0.8872]]]) \n\ntensor([[[0.8728, 0.8128, 0.0749, 0.1325],\n [0.4135, 0.4166, 0.0704, 0.6041],\n [0.8488, 0.3012, 0.0646, 0.7827],\n [0.2372, 0.3936, 0.7666, 0.8872]]])\nmetatensor([[[0.1325, 0.0749, 0.8128, 0.8728],\n [0.6041, 0.0704, 0.4166, 0.4135],\n [0.7827, 0.0646, 0.3012, 0.8488],\n [0.8872, 0.7666, 0.3936, 0.2372]]])\nmetatensor([[[0.8872, 0.7666, 0.3936, 0.2372],\n [0.7827, 0.0646, 0.3012, 0.8488],\n [0.6041, 0.0704, 0.4166, 0.4135],\n [0.1325, 0.0749, 0.8128, 0.8728]]])\n\n\n\nsource\n\n\nRandRot90\n\n RandRot90 (prob=0.1, max_k=3, spatial_axes=(0, 1), ndim=2, lazy=False,\n **kwargs)\n\nRandomly rotate an ND image by 90 degrees in the plane specified by axes.\n\n\n\n\n\n\n\n\n\n\nType\nDefault\nDetails\n\n\n\n\nprob\nfloat\n0.1\nProbability of rotating\n\n\nmax_k\nint\n3\nMax number of times to rotate by 90 degrees\n\n\nspatial_axes\ntuple\n(0, 1)\nSpatial axes along which to rotate. Default: (0, 1), this is the first two axis in spatial dimensions.\n\n\nndim\nint\n2\n\n\n\nlazy\nbool\nFalse\nFlag to indicate whether this transform should execute lazily or not. Defaults to False\n\n\nkwargs\n\n\n\n\n\n\n\n# Define a random tensor\norig_size = (1,4,4)\nrand_tensor = torch.rand(*orig_size) \n\nprint('orig tensor: ', rand_tensor, '\\n')\n\nfor i in range(3):\n print(RandRot90(prob=.75)(rand_tensor))\n\norig tensor: tensor([[[0.5017, 0.8685, 0.2517, 0.5876],\n [0.0879, 0.4498, 0.1788, 0.0592],\n [0.7514, 0.5496, 0.9782, 0.2972],\n [0.2497, 0.0176, 0.3635, 0.7886]]]) \n\nmetatensor([[[0.5876, 0.0592, 0.2972, 0.7886],\n [0.2517, 0.1788, 0.9782, 0.3635],\n [0.8685, 0.4498, 0.5496, 0.0176],\n [0.5017, 0.0879, 0.7514, 0.2497]]])\ntensor([[[0.5017, 0.8685, 0.2517, 0.5876],\n [0.0879, 0.4498, 0.1788, 0.0592],\n [0.7514, 0.5496, 0.9782, 0.2972],\n [0.2497, 0.0176, 0.3635, 0.7886]]])\nmetatensor([[[0.2497, 0.7514, 0.0879, 0.5017],\n [0.0176, 0.5496, 0.4498, 0.8685],\n [0.3635, 0.9782, 0.1788, 0.2517],\n [0.7886, 0.2972, 0.0592, 0.5876]]])" + }, + { + "objectID": "core.html#engine", + "href": "core.html#engine", + "title": "core", + "section": "Engine", + "text": "Engine\n\ndblock = DataBlock(blocks=(BioImageBlock(cls=BioImageProject), BioImageBlock(cls=BioImage)),\n get_items=get_image_files,\n get_y=,\n splitter=RandomSplitter(valid_pct=0.2),\n item_tfms=item_tfms,\n )\n\ndblock.summary(path_x)\n\ndls = dblock.dataloaders(path_x, bs=bs)\ndls.show_batch(max_n=8, cmap='gray')" } ] \ No newline at end of file diff --git a/_proc/_docs/site_libs/bootstrap/bootstrap.min.css b/_proc/_docs/site_libs/bootstrap/bootstrap.min.css index 30038d1..3335165 100644 --- a/_proc/_docs/site_libs/bootstrap/bootstrap.min.css +++ b/_proc/_docs/site_libs/bootstrap/bootstrap.min.css @@ -3,8 +3,8 @@ * Copyright 2011-2021 The Bootstrap Authors * Copyright 2011-2021 Twitter, Inc. * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE) - */@import"https://fonts.googleapis.com/css2?family=Source+Sans+Pro:wght@300;400;700&display=swap";:root{--bs-blue: #2780e3;--bs-indigo: #6610f2;--bs-purple: #613d7c;--bs-pink: #e83e8c;--bs-red: 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+.prevent-inlining { + content: " https://bmandracchia.github.io/bioMONAI/nets.html - 2024-09-03T09:45:45.536Z + 2024-09-03T18:24:39.776Z https://bmandracchia.github.io/bioMONAI/core.html - 2024-09-03T09:45:45.160Z + 2024-09-03T18:26:18.376Z https://bmandracchia.github.io/bioMONAI/template.html @@ -18,7 +18,7 @@ https://bmandracchia.github.io/bioMONAI/index.html - 2024-09-01T19:11:04.624Z + 2024-09-03T18:41:58.448Z https://bmandracchia.github.io/bioMONAI/demo_png_images.html @@ -42,7 +42,7 @@ https://bmandracchia.github.io/bioMONAI/losses.html - 2024-09-03T09:48:55.460Z + 2024-09-03T18:31:05.880Z https://bmandracchia.github.io/bioMONAI/demo_cell_segmentation-2-3d.html @@ -50,11 +50,11 @@ https://bmandracchia.github.io/bioMONAI/transforms.html - 2024-09-03T09:45:44.072Z + 2024-09-03T18:21:52.260Z https://bmandracchia.github.io/bioMONAI/data.html - 2024-09-03T09:50:55.152Z + 2024-09-03T18:23:44.936Z https://bmandracchia.github.io/bioMONAI/visualize.html diff --git a/_proc/_docs/transforms.html b/_proc/_docs/transforms.html index be8622d..4429674 100644 --- a/_proc/_docs/transforms.html +++ b/_proc/_docs/transforms.html @@ -337,11 +337,11 @@

    Resample

    Example Usage: # Creating a Resample object with a specified sampling factor resampler = Resample(sampling=2)

    # Creating a Resample object with custom voxel dimensions
 resampler = Resample(**kwargs={'pixdim': [1.5, 1.5, 3]})
    -
    +
    from bioMONAI.core import cells3d, img2Tensor
 from bioMONAI.visualize import visualize_slices
    -
    +
    img = cells3d()[:,0]
 
 visualize_slices(img, showlines=False)
@@ -352,8 +352,11 @@ 
    Resample
    
 
    
 
    
 
    
+
    
+
    `data_array` is not of type MetaTensor, assuming affine to be identity.
    
+
    
 
    
-
    
+
    @@ -373,18 +376,22 @@

    RandCameraNoise

    Simulates camera noise by adding Poisson shot noise, dark current noise, and optionally CMOS fixed pattern noise.

    Args: input_image (numpy.ndarray): The original image as a NumPy array. qe (float, optional): Quantum efficiency of the camera (0 to 1). Default is 0.7. gain (float or numpy.ndarray, optional): Camera gain factor. If an array, it should be broadcastable with input_image shape. Default is 2. exp_time (float, optional): Exposure time in seconds. Default is 0.1. dark_current (float, optional): Dark current per pixel in electrons/second. Default is 0.06. readout (float, optional): Readout noise standard deviation in electrons. Default is 2.5. bitdepth (int, optional): Bit depth of the camera output. Default is 16. offset (int or float, optional): Offset value to add to each pixel after conversion to ADU. Default is 100. seed (int, optional): Seed for random number generator for reproducibility. Default is 42. simulation (bool, optional): If True, assumes input_image is already in units of photons and does not convert from electrons. Default is False. camera (str, optional): Specifies the type of camera (‘cmos’ or any other). Used to add CMOS fixed pattern noise if ‘cmos’ is specified. Default is ‘cmos’. gain_variance (float, optional): Variance for the gain noise in CMOS cameras. Only applicable if camera type is ‘cmos’. Default is 0.1. offset_variance (float, optional): Variance for the offset noise in CMOS cameras. Only applicable if camera type is ‘cmos’. Default is 5.

    Returns: numpy.ndarray: The noisy image as a NumPy array with dimensions of input_image.

    -
    -
    from bioMONAI.visualize import plot_image
    +
    +
    from bioMONAI.visualize import plot_image
    -
    -
    plot_image(RandCameraNoise(.01*img[30], camera = 'cmos'))
-plot_image(RandCameraNoise(.01*img[30], camera = 'ccd'))
    +
    +
    plot_image(img[30])
+plot_image(RandCameraNoise(.01*img[30], camera = 'cmos'))
+plot_image(RandCameraNoise(.01*img[30], camera = 'ccd'))

    +
    +

    +
    @@ -414,27 +421,27 @@

    Data Augmentation

    Utilities

    -
    # # Define a random tensor
-# orig_size = (10, 8)
-# rand_tensor = torch.rand(3, *orig_size)  # Random tensor with shape (3, 10, 8)
-
-# # Specify the desired size and top-left corner for cropping
-# size = (12, 9)
-# tl = (2, 3)
-
-# # Perform cropping
-# result_tensor = crop_pad_tensor(rand_tensor, size, tl, orig_size)
-
-# print("Original tensor shape:", rand_tensor.shape)
-# print("Cropped tensor shape:", result_tensor.shape)
    +
    # # Define a random tensor
+# orig_size = (10, 8)
+# rand_tensor = torch.rand(3, *orig_size)  # Random tensor with shape (3, 10, 8)
+
+# # Specify the desired size and top-left corner for cropping
+# size = (12, 9)
+# tl = (2, 3)
+
+# # Perform cropping
+# result_tensor = crop_pad_tensor(rand_tensor, size, tl, orig_size)
+
+# print("Original tensor shape:", rand_tensor.shape)
+# print("Cropped tensor shape:", result_tensor.shape)
    -
    # Define a random tensor
-orig_size = (10, 8)
-rand_tensor = torch.rand(3, *orig_size)  # Random tensor with shape (3, 10, 8)
-
-test_eq((3,)*3,_process_sz(3,ndim=3))
-test_eq(orig_size,_get_sz((rand_tensor, rand_tensor)))
    +
    # Define a random tensor
+orig_size = (10, 8)
+rand_tensor = torch.rand(3, *orig_size)  # Random tensor with shape (3, 10, 8)
+
+test_eq((3,)*3,_process_sz(3,ndim=3))
+test_eq(orig_size,_get_sz((rand_tensor, rand_tensor)))
    @@ -532,12 +539,12 @@

    RandCropND

    -
    # Define a random tensor
-orig_size = (65, 65)
-rand_tensor = torch.rand(8, *orig_size) 
-
-for i in range(100):
-    test_eq((8,64,64),RandCropND((64,64))(rand_tensor).shape)
    +
    # Define a random tensor
+orig_size = (65, 65)
+rand_tensor = torch.rand(8, *orig_size) 
+
+for i in range(100):
+    test_eq((8,64,64),RandCropND((64,64))(rand_tensor).shape)

    source

    @@ -552,13 +559,13 @@

    RandCropND_T

    This transform randomly crops an ND image to a specified size during training and performs a center crop during validation. It supports both 2D and 3D images and videos, assuming the first dimension is the batch dimension.

    Args: size (int or tuple): The size to crop the image to. this can have any number of dimensions. If a single value is provided, it will be duplicated for each spatial dimension, up to a maximum of 3 dimensions. threshold (float): The minimum average intensity threshold for the cropped patch. **kwargs: Additional keyword arguments to be passed to the parent class.

    -
    # Define a random tensor
-orig_size = (65, 65)
-rand_tensor = torch.rand(8, *orig_size) 
-
-for i in range(1):
-    tst = RandCropND_T((64,64), 1, 2)(rand_tensor)
-    test_eq((8,64,64),tst.shape)
    +
    # Define a random tensor
+orig_size = (65, 65)
+rand_tensor = torch.rand(8, *orig_size) 
+
+for i in range(1):
+    tst = RandCropND_T((64,64), 1, 2)(rand_tensor)
+    test_eq((8,64,64),tst.shape)

    source

    @@ -618,14 +625,14 @@

    RandFlip

    -
    # Define a random tensor
-orig_size = (1,4,4)
-rand_tensor = torch.rand(*orig_size) 
-
-print('orig tensor: ', rand_tensor, '\n')
-
-for i in range(3):
-    print(RandFlip(prob=.75, spatial_axis=None)(rand_tensor))
    +
    # Define a random tensor
+orig_size = (1,4,4)
+rand_tensor = torch.rand(*orig_size) 
+
+print('orig tensor: ', rand_tensor, '\n')
+
+for i in range(3):
+    print(RandFlip(prob=.75, spatial_axis=None)(rand_tensor))
    orig tensor:  tensor([[[0.8728, 0.8128, 0.0749, 0.1325],
          [0.4135, 0.4166, 0.0704, 0.6041],
@@ -711,14 +718,14 @@ 
    RandRot90
    
 
 
 
    
-
    # Define a random tensor
-orig_size = (1,4,4)
-rand_tensor = torch.rand(*orig_size) 
-
-print('orig tensor: ', rand_tensor, '\n')
-
-for i in range(3):
-    print(RandRot90(prob=.75)(rand_tensor))
    
+
    # Define a random tensor
+orig_size = (1,4,4)
+rand_tensor = torch.rand(*orig_size) 
+
+print('orig tensor: ', rand_tensor, '\n')
+
+for i in range(3):
+    print(RandRot90(prob=.75)(rand_tensor))
    
 
    
 
    orig tensor:  tensor([[[0.5017, 0.8685, 0.2517, 0.5876],
          [0.0879, 0.4498, 0.1788, 0.0592],
diff --git a/_proc/_quarto.yml b/_proc/_quarto.yml
index 0a6dfcb..60a8b3f 100644
--- a/_proc/_quarto.yml
+++ b/_proc/_quarto.yml
@@ -3,18 +3,62 @@ project:
 
 format:
   html:
-    theme: cosmo
+    theme: lumen
     css: styles.css
     toc: true
+    toc-depth: 4
+    html-math-method: katex
+    fontsize: 1.15rem
+    grid:
+      sidebar-width: 275px
+      body-width: 1025px
+      margin-width: 275px
+      gutter-width: 3rem
 
 website:
   twitter-card: true
   open-graph: true
   repo-actions: [issue]
   navbar:
-    background: primary
     search: true
+    left:
+      - text: "Blog"
+        href: https://bmandracchia.github.io
+      - text: "Resources"
+        menu:
+          - text: fast.ai
+            icon: link
+            href: https://docs.fast.ai
+          - text: fastcore
+            icon: link
+            href: https://fastcore.fast.ai
+          - text: nbdev
+            icon: link
+            href: https://nbdev.fast.ai
+          - text: "Report an Issue"
+            icon: bug
+            href: https://github.com/bmandracchia/bioMONAI/issues
+    right:
+      - icon: github
+        href: https://github.com/bmandracchia/bioMONAI/
+        aria-label: GitHub
+      - icon: twitter
+        href: https://twitter.com/
+        aria-label: Twitter
   sidebar:
     style: floating
+    collapse-level: 2
+  page-footer:
+    left: "Copyright © 2024 Biagio Mandracchia, MIT License"
+    right:
+      - icon: github
+        href: https://github.com/bmandracchia/bioMONAI/
+      - icon: twitter
+        href: https://twitter.com/
+  body-header: |
+    
+
+link-external-newwindow: true
+    
 
 metadata-files: [nbdev.yml, sidebar.yml]
\ No newline at end of file
diff --git a/nbs/00_core.ipynb b/nbs/00_core.ipynb
index f90d0b9..9456218 100755
--- a/nbs/00_core.ipynb
+++ b/nbs/00_core.ipynb
@@ -73,10 +73,36 @@
    "outputs": [],
    "source": [
     "#| export\n",
-    "from fastai.vision.all import BypassNewMeta, DisplayedTransform, store_attr\n",
+    "from fastai.vision.all import BypassNewMeta, DisplayedTransform, store_attr, DataBlock\n",
     "from fastai.data.all import delegates, hasattrs, Path, List, L, typedispatch"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Engine"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dblock = DataBlock(blocks=(BioImageBlock(cls=BioImageProject), BioImageBlock(cls=BioImage)),\n",
+    "                   get_items=get_image_files,\n",
+    "                   get_y=,\n",
+    "                   splitter=RandomSplitter(valid_pct=0.2),\n",
+    "                   item_tfms=item_tfms,\n",
+    "                  )\n",
+    "\n",
+    "dblock.summary(path_x)\n",
+    "\n",
+    "dls = dblock.dataloaders(path_x, bs=bs)\n",
+    "dls.show_batch(max_n=8, cmap='gray')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -143,6 +169,10 @@
    "display_name": "python3",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "name": "python",
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/nbs/01_data.ipynb b/nbs/01_data.ipynb
index 9287199..ae1136d 100644
--- a/nbs/01_data.ipynb
+++ b/nbs/01_data.ipynb
@@ -526,6 +526,16 @@
     "> These function are tailor-made for some test datasets, eventually they must be changed/adapted to more general cases\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| export\n",
+    "from fastai.vision.all import get_image_files"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -732,6 +742,10 @@
    "display_name": "python3",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "name": "python",
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/nbs/05_transforms.ipynb b/nbs/05_transforms.ipynb
index 0ea5530..a7dad5c 100644
--- a/nbs/05_transforms.ipynb
+++ b/nbs/05_transforms.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 242,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 243,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 244,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 245,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -100,7 +100,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 246,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -110,7 +110,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 247,
    "metadata": {},
    "outputs": [
     {
@@ -123,6 +123,13 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "`data_array` is not of type MetaTensor, assuming affine to be identity.\n"
+     ]
+    },
     {
      "data": {
       "image/png": 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@@ -153,7 +160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 248,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -218,7 +225,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 249,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -227,9 +234,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 250,
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "
    "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "image/png": 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",
@@ -252,6 +269,7 @@
     }
    ],
    "source": [
+    "plot_image(img[30])\n",
     "plot_image(RandCameraNoise(.01*img[30], camera = 'cmos'))\n",
     "plot_image(RandCameraNoise(.01*img[30], camera = 'ccd'))"
    ]
diff --git a/nbs/_quarto.yml b/nbs/_quarto.yml
index 0a6dfcb..60a8b3f 100644
--- a/nbs/_quarto.yml
+++ b/nbs/_quarto.yml
@@ -3,18 +3,62 @@ project:
 
 format:
   html:
-    theme: cosmo
+    theme: lumen
     css: styles.css
     toc: true
+    toc-depth: 4
+    html-math-method: katex
+    fontsize: 1.15rem
+    grid:
+      sidebar-width: 275px
+      body-width: 1025px
+      margin-width: 275px
+      gutter-width: 3rem
 
 website:
   twitter-card: true
   open-graph: true
   repo-actions: [issue]
   navbar:
-    background: primary
     search: true
+    left:
+      - text: "Blog"
+        href: https://bmandracchia.github.io
+      - text: "Resources"
+        menu:
+          - text: fast.ai
+            icon: link
+            href: https://docs.fast.ai
+          - text: fastcore
+            icon: link
+            href: https://fastcore.fast.ai
+          - text: nbdev
+            icon: link
+            href: https://nbdev.fast.ai
+          - text: "Report an Issue"
+            icon: bug
+            href: https://github.com/bmandracchia/bioMONAI/issues
+    right:
+      - icon: github
+        href: https://github.com/bmandracchia/bioMONAI/
+        aria-label: GitHub
+      - icon: twitter
+        href: https://twitter.com/
+        aria-label: Twitter
   sidebar:
     style: floating
+    collapse-level: 2
+  page-footer:
+    left: "Copyright © 2024 Biagio Mandracchia, MIT License"
+    right:
+      - icon: github
+        href: https://github.com/bmandracchia/bioMONAI/
+      - icon: twitter
+        href: https://twitter.com/
+  body-header: |
+    
+
+link-external-newwindow: true
+    
 
 metadata-files: [nbdev.yml, sidebar.yml]
\ No newline at end of file