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shap_e/examples/encode_model.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "\n",
+    "from shap_e.models.download import load_model\n",
+    "from shap_e.util.data_util import load_or_create_multimodal_batch\n",
+    "from shap_e.util.notebooks import create_pan_cameras, decode_latent_images, gif_widget"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xm = load_model('transmitter', device=device)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model_path = \"example_data/cactus/object.obj\"\n",
+    "\n",
+    "# This may take a few minutes, since it requires rendering the model twice\n",
+    "# in two different modes.\n",
+    "batch = load_or_create_multimodal_batch(\n",
+    "    device,\n",
+    "    model_path=model_path,\n",
+    "    mv_light_mode=\"basic\",\n",
+    "    mv_image_size=256,\n",
+    "    cache_dir=\"example_data/cactus/cached\",\n",
+    "    verbose=True, # this will show Blender output during renders\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with torch.no_grad():\n",
+    "    latent = xm.encoder.encode_to_bottleneck(batch)\n",
+    "\n",
+    "    render_mode = 'stf' # you can change this to 'nerf'\n",
+    "    size = 128 # recommended that you lower resolution when using nerf\n",
+    "\n",
+    "    cameras = create_pan_cameras(size, device)\n",
+    "    images = decode_latent_images(xm, latent, cameras, rendering_mode=render_mode)\n",
+    "    display(gif_widget(images))"
+   ]
+  }
+ ],
+ "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": "3.9.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}