{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Using notebooks for inspection" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this example, we show how the results of a previous run can be loaded in a Jupyter notebook for further inspection (including any intermediate results).\n", "\n", "To start with, we run the segmentation example pipeline." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "nbsphinx": "hidden" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "find: examples: No such file or directory\n", "find: examples: No such file or directory\n", "find: examples: No such file or directory\n" ] } ], "source": [ "!command rm -f $(find examples -name 'data.dill.gz')\n", "!command rm -f $(find examples -name '.task.json')\n", "!command rm -f $(find examples -name '.sha.json')" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "nbsphinx": "hidden" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/Users/void/Dev/repype\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/void/Dev/repype/env/lib/python3.11/site-packages/IPython/core/magics/osm.py:417: UserWarning: This is now an optional IPython functionality, setting dhist requires you to install the `pickleshare` library.\n", " self.shell.db['dhist'] = compress_dhist(dhist)[-100:]\n" ] } ], "source": [ "%cd ..\n", "\n", "from IPython.display import Image, display\n", "\n", "import os\n", "import pathlib\n", "import shutil\n", "import tempfile\n", "\n", "rootdir = pathlib.Path('.').resolve()\n", "tempdir = tempfile.TemporaryDirectory()\n", "tempdir_path = pathlib.Path(tempdir.name)\n", "task_root_path = tempdir_path / 'examples' / 'segmentation'\n", "shutil.copytree('examples/segmentation', task_root_path)\n", "os.symlink(rootdir / 'repype', tempdir_path / 'repype', target_is_directory = True)\n", "os.symlink(rootdir / 'tests', tempdir_path / 'tests', target_is_directory = True)\n", "os.chdir(tempdir_path)\n", "\n", "def imshow(array):\n", " from PIL import Image as PILImage\n", " import io\n", "\n", " array = array.astype('uint8')\n", " image = PILImage.fromarray(array)\n", "\n", " buffer = io.BytesIO()\n", " image.save(buffer, format='PNG')\n", " buffer.seek(0)\n", "\n", " display(Image(data = buffer.getvalue()))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Creating some results to work with\n", "\n", "We first create some results to work with. We only run the task specified in `examples/segmentation/task.yml` and omit the `sigma=2` variant:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "1 task(s) selected for running\n", " \n", " (1/1) Entering task: /private/var/folders/hs/cqtqb2dn29d5nfz8d_qm6f6w0000gn/T/tmpcmt8hlmi/examples/segmentation\n", " Starting from scratch\n", " \n", " (1/1) Processing: B2--W00026--P00001--Z00000--T00000--dapi.tif\n", " \n", " Results have been stored ✅\n" ] } ], "source": [ "!command python -m repype examples/segmentation --task examples/segmentation --run" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loading the results for inspection\n", "\n", "We load the results that were written by the previous run of the task:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{PosixPath('examples/segmentation'): ,\n", " PosixPath('examples/segmentation/sigma=2'): }" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import repype.batch\n", "\n", "batch = repype.batch.Batch()\n", "batch.load('examples')\n", "batch.tasks" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "dict_keys(['B2--W00026--P00001--Z00000--T00000--dapi.tif'])" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "task = batch.task('examples/segmentation')\n", "task_data = task.load()\n", "task_data.keys()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "dict_keys(['input_id', 'image', 'segmentation'])" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pipeline_data = task_data['B2--W00026--P00001--Z00000--T00000--dapi.tif']\n", "pipeline_data.keys()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "imshow(pipeline_data['segmentation'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Re-computing marginal data\n", "\n", "Data that is *marginal* will be missing when loaded as shown above. To also inspect *marginal* data, it is necessary to run the corresponding computations:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "config = task.create_config()\n", "task_data = task.run(config = config)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This will only run those computations which are required to compute the *marginal* data. Since there is no marginal data in this example, no new computations are performed, and the data is read directly from the previous run." ] } ], "metadata": { "kernelspec": { "display_name": "env", "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": "3.11.0" } }, "nbformat": 4, "nbformat_minor": 2 }