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examples/devkit_tutorial.ipynb

@@ -60,12 +60,10 @@
     "plt.rcParams[\"figure.figsize\"] = [20, 10]\n",
     "\n",
     "# import the ZOD DevKit\n",
-    "from zod import ZodFrames\n",
-    "from zod import ZodSequences\n",
-    "\n",
     "# import default constants\n",
     "import zod.constants as constants\n",
-    "from zod.constants import Camera, Lidar, Anonymization, AnnotationProject\n",
+    "from zod import ZodFrames, ZodSequences\n",
+    "from zod.constants import AnnotationProject, Anonymization, Camera, Lidar\n",
     "\n",
     "# import useful data classes\n",
     "from zod.data_classes import LidarData\n",
@@ -427,9 +425,7 @@
     "# but for this we also need the calibrations of the sensor\n",
     "calibrations = zod_frame.calibration\n",
     "assert annotation_3d is not None\n",
-    "image = overlay_object_3d_box_on_image(\n",
-    "    image, annotation_3d, calibrations, color=(255, 0, 0), line_thickness=10\n",
-    ")\n",
+    "image = overlay_object_3d_box_on_image(image, annotation_3d, calibrations, color=(255, 0, 0), line_thickness=10)\n",
     "\n",
     "plt.figure()\n",
     "plt.axis(\"off\")\n",
@@ -570,12 +566,8 @@
     "    np.hstack((pcd.points, pcd.intensity[:, None])),\n",
     "    (\n",
     "        np.array([obj.name for obj in object_annotations if obj.box3d]),\n",
-    "        np.concatenate(\n",
-    "            [obj.box3d.center[None, :] for obj in object_annotations if obj.box3d], axis=0\n",
-    "        ),\n",
-    "        np.concatenate(\n",
-    "            [obj.box3d.size[None, :] for obj in object_annotations if obj.box3d], axis=0\n",
-    "        ),\n",
+    "        np.concatenate([obj.box3d.center[None, :] for obj in object_annotations if obj.box3d], axis=0),\n",
+    "        np.concatenate([obj.box3d.size[None, :] for obj in object_annotations if obj.box3d], axis=0),\n",
     "        np.array([obj.box3d.orientation for obj in object_annotations if obj.box3d]),\n",
     "    ),\n",
     ")"
@@ -612,9 +604,7 @@
     "plt.show()\n",
     "\n",
     "# Plot aggregated Lidar point cloud\n",
-    "aggregated_lidar = zod_frame.get_aggregated_lidar(\n",
-    "    num_before=10, num_after=0, timestamp=image_timestamp\n",
-    ")\n",
+    "aggregated_lidar = zod_frame.get_aggregated_lidar(num_before=10, num_after=0, timestamp=image_timestamp)\n",
     "lid_image = visualize_lidar_on_image(\n",
     "    aggregated_lidar,\n",
     "    zod_frame.calibration,\n",