From 1f8d56fba96c4ad1c0fb48e0d0ae9084596cc66d Mon Sep 17 00:00:00 2001 From: Robert Haase Date: Thu, 13 Oct 2022 12:00:39 +0200 Subject: [PATCH 1/2] add colab demo notebook --- demo/colab/assistant_notebook.ipynb | 407 ++++++++++++++++++++++++++++ 1 file changed, 407 insertions(+) create mode 100644 demo/colab/assistant_notebook.ipynb diff --git a/demo/colab/assistant_notebook.ipynb b/demo/colab/assistant_notebook.ipynb new file mode 100644 index 00000000..11f988ac --- /dev/null +++ b/demo/colab/assistant_notebook.ipynb @@ -0,0 +1,407 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f06844b6-8c70-42b1-b3b2-e30aa3ebcefe", + "metadata": {}, + "source": [ + "# Porting napari-assistant generated notebooks to run in google colab\n", + "In this notebook we demonstrate how to modify a jupyter notebook that was generated using the [napari-assistant](https://github.com/haesleinhuepf/napari-assistant) and using [pyclesperanto-prototype](https://github.com/clesperanto/pyclesperanto_prototype) to make it run in google colab.\n", + "\n", + "## Preparation\n", + "* Install [devbio-napari](https://github.com/haesleinhuepf/devbio-napari) on your local computer using conda. TL;DR\n", + "\n", + "```\n", + "conda install mamba -c conda-forge\n", + "mamba create --name devbio-napari-env python=3.9 devbio-napari -c conda-forge\n", + "\n", + "conda activate devbio-napari-env\n", + "naparia\n", + "```\n", + "\n", + "Note: the `a` at the end of `naparia` is no typo. This opens the napari-assistant\n", + "\n", + "* Download this dataset and open it in napari:\n", + "\n", + "https://github.com/clEsperanto/clesperanto_example_data/raw/main/Lund_000500_resampled-cropped.tif\n", + "\n", + "* After opening the dataset in the napari-assistant, click on the buttons `Remove background` and `Label`. Feel free to modify the numeric parameters in the bootom right of the screen. Afterwards click on the `Generate code...` button and `Export Jupyter Notebook`. Upload this notebook to google colab and open it." + ] + }, + { + "cell_type": "markdown", + "id": "92678366-a9fe-467d-a7a4-9e36bb57da2e", + "metadata": {}, + "source": [ + "Add and uncomment the following lines to your notebook at the beginning. It installs pyclesperanto-prototype into your colab kernel. Before executing it, please swith the runtime to `GPU`.\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "089dd613-79fe-4561-88df-2f491306383d", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install pyclesperanto_prototype" + ] + }, + { + "cell_type": "markdown", + "id": "d703244e-d776-4e73-a55c-935cc4ed35b9", + "metadata": {}, + "source": [ + "## Running the generated code \n", + "Compare your notebook to the one shown here below. Only minor modifications regarding where to load the data from are necessary to run the notebook in google colab." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "37ad005c", + "metadata": { + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "from skimage.io import imread\n", + "import pyclesperanto_prototype as cle # version 0.19.3" + ] + }, + { + "cell_type": "markdown", + "id": "eb4a6114", + "metadata": {}, + "source": [ + "## Loading 'Lund_000500_resampled-cropped'" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "a8471ee8", + "metadata": { + "lines_to_next_cell": 2 + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "
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" + ], + "text/plain": [ + "cl.OCLArray([[[ 5., 3., 6., ..., 3., 1., 0.],\n", + " [ 6., 3., 4., ..., 4., 2., 1.],\n", + " [ 3., 0., 0., ..., 3., 2., 5.],\n", + " ...,\n", + " [13., 9., 17., ..., 65., 44., 30.],\n", + " [10., 6., 10., ..., 76., 55., 35.],\n", + " [13., 12., 10., ..., 79., 53., 30.]],\n", + "\n", + " [[ 4., 1., 5., ..., 3., 3., 1.],\n", + " [ 6., 0., 4., ..., 4., 4., 2.],\n", + " [ 3., 0., 1., ..., 5., 4., 5.],\n", + " ...,\n", + " [12., 12., 20., ..., 70., 48., 30.],\n", + " [12., 7., 8., ..., 84., 58., 33.],\n", + " [14., 10., 7., ..., 85., 54., 28.]],\n", + "\n", + " [[ 5., 1., 7., ..., 4., 4., 2.],\n", + " [ 7., 0., 6., ..., 4., 6., 2.],\n", + " [ 3., 0., 2., ..., 7., 6., 6.],\n", + " ...,\n", + " [12., 15., 23., ..., 74., 51., 30.],\n", + " [13., 9., 8., ..., 88., 60., 32.],\n", + " [15., 9., 6., ..., 90., 56., 28.]],\n", + "\n", + " ...,\n", + "\n", + " [[ 4., 5., 7., ..., 2., 1., 3.],\n", + " [ 5., 5., 2., ..., 5., 1., 3.],\n", + " [ 5., 3., 3., ..., 3., 4., 7.],\n", + " ...,\n", + " [ 3., 8., 7., ..., 4., 6., 6.],\n", + " [ 5., 11., 12., ..., 6., 2., 3.],\n", + " [ 7., 5., 10., ..., 2., 2., 5.]],\n", + "\n", + " [[ 3., 5., 8., ..., 2., 2., 4.],\n", + " [ 5., 5., 2., ..., 6., 2., 4.],\n", + " [ 6., 3., 4., ..., 2., 3., 9.],\n", + " ...,\n", + " [ 4., 8., 8., ..., 5., 6., 6.],\n", + " [ 6., 11., 13., ..., 9., 2., 5.],\n", + " [ 9., 3., 9., ..., 5., 4., 5.]],\n", + "\n", + " [[ 3., 3., 6., ..., 4., 4., 4.],\n", + " [ 4., 4., 2., ..., 5., 3., 3.],\n", + " [ 4., 1., 2., ..., 3., 5., 7.],\n", + " ...,\n", + " [ 2., 3., 4., ..., 8., 6., 6.],\n", + " [ 7., 7., 7., ..., 9., 3., 5.],\n", + " [ 6., 1., 4., ..., 7., 5., 6.]]], dtype=float32)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "image1_thb = cle.top_hat_box(image0_L0r, None, 10.0, 10.0, 0.0)\n", + "image1_thb" + ] + }, + { + "cell_type": "markdown", + "id": "24e3e84f", + "metadata": {}, + "source": [ + "## voronoi otsu labeling" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f0aca8f9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "
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" + ], + "text/plain": [ + "cl.OCLArray([[[ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " ...,\n", + " [ 0, 0, 0, ..., 285, 285, 285],\n", + " [ 0, 0, 0, ..., 285, 285, 285],\n", + " [ 0, 0, 0, ..., 285, 285, 285]],\n", + "\n", + " [[ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " ...,\n", + " [ 0, 0, 0, ..., 285, 285, 285],\n", + " [ 0, 0, 0, ..., 285, 285, 285],\n", + " [ 0, 0, 0, ..., 285, 285, 285]],\n", + "\n", + " [[ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " ...,\n", + " [ 0, 0, 0, ..., 285, 285, 285],\n", + " [ 0, 0, 0, ..., 285, 285, 285],\n", + " [ 0, 0, 0, ..., 285, 285, 285]],\n", + "\n", + " ...,\n", + "\n", + " [[ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " ...,\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0]],\n", + "\n", + " [[ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " ...,\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0]],\n", + "\n", + " [[ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " ...,\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0],\n", + " [ 0, 0, 0, ..., 0, 0, 0]]], dtype=uint32)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "image2_vol = cle.voronoi_otsu_labeling(image1_thb, None, 2.0, 2.0)\n", + "image2_vol" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6ba4a862-f4c6-45ca-a0f2-6467e0c5001a", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 79174cbbd6fbb2f4860c9473a39a36a92172cb84 Mon Sep 17 00:00:00 2001 From: Robert Haase Date: Thu, 13 Oct 2022 12:14:41 +0200 Subject: [PATCH 2/2] more instructions --- demo/colab/assistant_notebook.ipynb | 8 ++++++-- demo/colab/prepare_in_assistant.png | Bin 0 -> 766338 bytes 2 files changed, 6 insertions(+), 2 deletions(-) create mode 100644 demo/colab/prepare_in_assistant.png diff --git a/demo/colab/assistant_notebook.ipynb b/demo/colab/assistant_notebook.ipynb index 11f988ac..730b8bfb 100644 --- a/demo/colab/assistant_notebook.ipynb +++ b/demo/colab/assistant_notebook.ipynb @@ -8,6 +8,8 @@ "# Porting napari-assistant generated notebooks to run in google colab\n", "In this notebook we demonstrate how to modify a jupyter notebook that was generated using the [napari-assistant](https://github.com/haesleinhuepf/napari-assistant) and using [pyclesperanto-prototype](https://github.com/clesperanto/pyclesperanto_prototype) to make it run in google colab.\n", "\n", + "[You can try this out in google colab directly](https://colab.research.google.com/github/clEsperanto/pyclesperanto_prototype/blob/master/demo/colab/assistant_notebook.ipynb) and skip the preparation listed below.\n", + "\n", "## Preparation\n", "* Install [devbio-napari](https://github.com/haesleinhuepf/devbio-napari) on your local computer using conda. TL;DR\n", "\n", @@ -19,13 +21,15 @@ "naparia\n", "```\n", "\n", - "Note: the `a` at the end of `naparia` is no typo. This opens the napari-assistant\n", + "Note: the `a` at the end of `naparia` is no typo. This opens the napari-assistant.\n", "\n", "* Download this dataset and open it in napari:\n", "\n", "https://github.com/clEsperanto/clesperanto_example_data/raw/main/Lund_000500_resampled-cropped.tif\n", "\n", - "* After opening the dataset in the napari-assistant, click on the buttons `Remove background` and `Label`. Feel free to modify the numeric parameters in the bootom right of the screen. Afterwards click on the `Generate code...` button and `Export Jupyter Notebook`. Upload this notebook to google colab and open it." + "* After opening the dataset in the napari-assistant, click on the buttons `Remove background` (1) and `Label` (2). Feel free to modify the numeric parameters in the bootom right of the screen. Afterwards click on the `Generate code...` (3) button and `Export Jupyter Notebook` (4). Upload this notebook to google colab and open it.\n", + "\n", + "" ] }, { diff --git a/demo/colab/prepare_in_assistant.png b/demo/colab/prepare_in_assistant.png new file mode 100644 index 0000000000000000000000000000000000000000..1a799ec606dbeb3063ff4e58c9b11faa47d3e5f9 GIT binary patch literal 766338 zcmb5V1yoyI*Di{b;>Dpw3oRO~6xTKsFYaF4-Mx5$0>!PkTX1)GcXtbJ!IP8sod5ja z`;R-uz2jyiS$k#ey^`!T=QHPgp1s2qCg*r5S^4HfC!**@*{ZXmDyL>uLuZL(U{K$DDXbIy`-iS0>Yb~e_n_Kc16Yr2(Wyq zZ(mj1^-f+;lF8L$&mt$*&)0(yKmSTCE=l?4p~+%OCsWV7!Z9>DI{Mp4`-djS*wxE9 zvu}%6$6g!ewcmBC=2T%#vx%nZ!!uomH_iGlf|LYRrp)A$Gw6^V*6YBoAM9`ccXMCQ zu3YrrJ@&WlLZgJ1|1}10LhNup2b2EifUT9D@7e!89FlB;fsKYXI6OS8Vr*=>-+;yZ z?vz1RW@1osq6n-ZIIkERlaZ>w&c(T?rWv0S6`NvgoVQ2JbB6<&O)@RWKj6M$rL-QG zmzR+N*iw+5mHkv_)!~*gSiVcvX{v4bC{S2i<=2-wS4vo_UZKa$r;v~qtGmSgX;C#ksa#h_Tusep z!`RKk^sDaq7kyg}khJ_^-$7RAN+k!?n8V-I|Z z`~tjI4l}*s2@ug5+wtk~;nkbkzu_U{84&R5YHD_||KrK%Y+1k~s7lppVbR1&jg8Wp zWqcHLo_1o#IyfpRGs1Shi^DEZ*rKfTnLX@vX%Y^%^568|qpibH 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