{ "cells": [ { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "254146bc22234e29a1264be57ad4ae49", "version_major": 2, "version_minor": 0 }, "text/html": [ "Cannot show widget. You probably want to rerun the code cell above (Click in the code cell, and press Shift+Enter +)." ], "text/plain": [ "Cannot show ipywidgets in text" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# import bpy\n", "from IPython.display import display, Image\n", "\n", "\n", "\n", "import solara\n", "import numpy as np\n", "\n", "float_value = solara.reactive(0)\n", "\n", "@solara.component\n", "def Page():\n", " path = \"test.png\"\n", " # bpy.context.scene.render.resolution_x = 500\n", " # bpy.context.scene.render.resolution_y = 200\n", " # bpy.ops.render.render()\n", " # bpy.data.images[\"Render Result\"].save_render(filepath=path)\n", " display(Image(filename=path))\n", "\n", "\n", "Page()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "napari-env2", "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": "3.10.13" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }