cleaned up everything again

Author: Perry

docs/examples/automated_geotagging/automated_geotagging_fixed_tilt_site.ipynb

@@ -2,39 +2,11 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 7,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\kperry\\.conda\\envs\\deep-learning\\Lib\\site-packages\\dash\\_jupyter.py:30: DeprecationWarning: The `ipykernel.comm.Comm` class has been deprecated. Please use the `comm` module instead.For creating comms, use the function `from comm import create_comm`.\n",
-      "  _dash_comm = Comm(target_name=\"dash\")\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Jupyter environment detected. Enabling Open3D WebVisualizer.\n",
-      "[Open3D INFO] WebRTC GUI backend enabled.\n",
-      "[Open3D INFO] WebRTCWindowSystem: HTTP handshake server disabled.\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\kperry\\.conda\\envs\\deep-learning\\Lib\\site-packages\\geopandas\\_compat.py:7: DeprecationWarning: The 'shapely.geos' module is deprecated, and will be removed in a future version. All attributes of 'shapely.geos' are available directly from the top-level 'shapely' namespace (since shapely 2.0.0).\n",
-      "  import shapely.geos\n",
-      "C:\\Users\\kperry\\.conda\\envs\\deep-learning\\Lib\\site-packages\\mmengine\\optim\\optimizer\\zero_optimizer.py:11: DeprecationWarning: `TorchScript` support for functional optimizers is deprecated and will be removed in a future PyTorch release. Consider using the `torch.compile` optimizer instead.\n",
-      "  from torch.distributed.optim import \\\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import warnings\n",
     "warnings.filterwarnings(action='once')\n",
@@ -59,7 +31,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -92,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -109,7 +81,7 @@
        "'C:\\\\Users\\\\kperry\\\\OneDrive - NLR\\\\Documents\\\\source\\\\repos\\\\Panel-Segmentation\\\\panel_segmentation\\\\models\\\\post_hurricane_model.pth'"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -135,7 +107,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -152,19 +124,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\kperry\\.conda\\envs\\deep-learning\\Lib\\site-packages\\mmcv\\cnn\\bricks\\transformer.py:24: ImportWarning: ``MultiScaleDeformableAttention`` has been moved to ``mmcv.ops.multi_scale_deform_attn``, please change original path ``from mmcv.cnn.bricks.transformer import MultiScaleDeformableAttention`` to ``from mmcv.ops.multi_scale_deform_attn import MultiScaleDeformableAttention`` \n",
-      "  warnings.warn(\n",
       "C:\\Users\\kperry\\.conda\\envs\\deep-learning\\Lib\\site-packages\\mmdet\\apis\\inference.py:70: UserWarning: checkpoint is None, use COCO classes by default.\n",
       "  warnings.warn('checkpoint is None, use COCO classes by default.')\n",
       "C:\\Users\\kperry\\.conda\\envs\\deep-learning\\Lib\\site-packages\\mmdet\\apis\\inference.py:70: UserWarning: checkpoint is None, use COCO classes by default.\n",
-      "  warnings.warn('checkpoint is None, use COCO classes by default.')\n"
+      "  warnings.warn('checkpoint is None, use COCO classes by default.')\n",
+      "C:\\Users\\kperry\\.conda\\envs\\deep-learning\\Lib\\site-packages\\mmengine\\utils\\manager.py:113: UserWarning: <class 'mmdet.visualization.local_visualizer.DetLocalVisualizer'> instance named of visualizer has been created, the method `get_instance` should not accept any other arguments\n",
+      "  warnings.warn(\n"
      ]
     }
    ],
@@ -195,7 +167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -206,8 +178,6 @@
       "  with torch.cuda.amp.autocast(enabled=False):\n",
       "C:\\Users\\kperry\\.conda\\envs\\deep-learning\\Lib\\site-packages\\mmdet\\models\\backbones\\csp_darknet.py:118: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n",
       "  with torch.cuda.amp.autocast(enabled=False):\n",
-      "C:\\Users\\kperry\\.conda\\envs\\deep-learning\\Lib\\site-packages\\torch\\functional.py:534: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\\cb\\pytorch_1000000000000\\work\\aten\\src\\ATen\\native\\TensorShape.cpp:3596.)\n",
-      "  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]\n",
       "C:\\Users\\kperry\\.conda\\envs\\deep-learning\\Lib\\site-packages\\numpy\\_core\\fromnumeric.py:45: DeprecationWarning: __array_wrap__ must accept context and return_scalar arguments (positionally) in the future. (Deprecated NumPy 2.0)\n",
       "  return conv.wrap(result, to_scalar=False)\n"
      ]