{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import qim3d\n", "import matplotlib.pyplot as plt\n", "\n", "# Load example image\n", "vol = qim3d.examples.bone_128x128x128\n", "\n", "# Start annotation tool\n", "annotation_tool = qim3d.gui.annotation_tool.Interface()\n", "\n", "# We can directly pass the image we loaded to the interface\n", "app = annotation_tool.launch(vol[0], server_name=\"10.197.104.229\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "annotation_tool.get_result()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "from IPython.display import clear_output\n", "import numpy as np\n", "import time\n", "\n", "while True:\n", " clear_output(wait=True) \n", " masks_dict = annotation_tool.get_result()\n", " if len(masks_dict) == 0:\n", " masks_dict[\"No mask\"] = np.zeros((32,32))\n", " \n", " fig, axs = plt.subplots(1, len(masks_dict), figsize=(8,3))\n", "\n", " if len(masks_dict) == 1:\n", " axs = [axs]\n", " for idx, (name, mask) in enumerate(masks_dict.items()):\n", "\n", " axs[idx].imshow(mask, cmap='gray', interpolation='none')\n", " axs[idx].set_title(name)\n", " axs[idx].axis('off')\n", " \n", " plt.tight_layout()\n", "\n", " \n", " plt.show()\n", " time.sleep(2)" ] } ], "metadata": { "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": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 4 }