diff --git a/Bericht/vtk/result_angles.vtk b/Bericht/vtk/result_angles.vtk
index f0c5312a51d8a7645bef29873bb3f05a153e0734..0d7fdc3f3f39d1c8cbb7b083ec79bc56c07da473 100644
Binary files a/Bericht/vtk/result_angles.vtk and b/Bericht/vtk/result_angles.vtk differ
diff --git a/UNet/visualize_vtk.ipynb b/UNet/visualize_vtk.ipynb
index 708cbf71b122d020eaa813493d1ab4f54a0917a4..87a06a107015b321055262c07312989bb071a5f7 100644
--- a/UNet/visualize_vtk.ipynb
+++ b/UNet/visualize_vtk.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -106,7 +106,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -122,8 +122,8 @@
     }
    ],
    "source": [
-    "path_to_UNET = 'F:/RWTH/HiWi_IEHK/DAMASK3'\n",
-    "export_path = 'F:/RWTH/HiWi_IEHK/DAMASK3/Bericht/vtk/result_angles'\n",
+    "path_to_UNET = 'E:/Data/damask3'\n",
+    "export_path = 'E:/Data/damask3/Bericht/vtk/result_angles'\n",
     "UNet = UNet\n",
     "Training_data_32 = torch.load(f'{path_to_UNET}/UNet/Input/TD_norm_32_angles.pt')\n",
     "normalization_32 = np.load(f'{path_to_UNET}/UNet/Input/Norm_min_max_32_phase.npy', allow_pickle=True)\n",
@@ -142,16 +142,67 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
-    "grid= pv.read('F:/RWTH/HiWi_IEHK/DAMASK3/Bericht/vtk/result_angles.vtk')\n",
+    "grid= pv.read('E:/Data/damask3/Bericht/vtk/result_angles.vtk')\n",
     "\n",
     "slice= grid.slice()\n",
     "pv.global_theme.font.color = 'black'\n",
     "pv.global_theme.font.size = 50 \n",
-    "slice['stress'] = slice['stress']/1000000000\n"
+    "slice['stress'] = slice['stress']/1000000000\n",
+    "slice['label'] = slice['label']/1000000000\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table><tr><th>Header</th><th>Data Arrays</th></tr><tr><td>\n",
+       "<table>\n",
+       "<tr><th>UniformGrid</th><th>Information</th></tr>\n",
+       "<tr><td>N Cells</td><td>32768</td></tr>\n",
+       "<tr><td>N Points</td><td>35937</td></tr>\n",
+       "<tr><td>X Bounds</td><td>0.000e+00, 3.200e+01</td></tr>\n",
+       "<tr><td>Y Bounds</td><td>0.000e+00, 3.200e+01</td></tr>\n",
+       "<tr><td>Z Bounds</td><td>0.000e+00, 3.200e+01</td></tr>\n",
+       "<tr><td>Dimensions</td><td>33, 33, 33</td></tr>\n",
+       "<tr><td>Spacing</td><td>1.000e+00, 1.000e+00, 1.000e+00</td></tr>\n",
+       "<tr><td>N Arrays</td><td>1</td></tr>\n",
+       "</table>\n",
+       "\n",
+       "</td><td>\n",
+       "<table>\n",
+       "<tr><th>Name</th><th>Field</th><th>Type</th><th>N Comp</th><th>Min</th><th>Max</th></tr>\n",
+       "<tr><td><b>label</b></td><td>Cells</td><td>float64</td><td>1</td><td>-1.215e+308</td><td>3.347e+305</td></tr>\n",
+       "</table>\n",
+       "\n",
+       "</td></tr> </table>"
+      ],
+      "text/plain": [
+       "UniformGrid (0x20607430d60)\n",
+       "  N Cells:\t32768\n",
+       "  N Points:\t35937\n",
+       "  X Bounds:\t0.000e+00, 3.200e+01\n",
+       "  Y Bounds:\t0.000e+00, 3.200e+01\n",
+       "  Z Bounds:\t0.000e+00, 3.200e+01\n",
+       "  Dimensions:\t33, 33, 33\n",
+       "  Spacing:\t1.000e+00, 1.000e+00, 1.000e+00\n",
+       "  N Arrays:\t1"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "grid"
    ]
   },
   {
@@ -220,19 +271,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
-    "%%capture\n",
-    "p = pv.Plotter(off_screen=True)\n",
-    "sargs = dict(\n",
-    "    title='Stress DAMASK (GPa)',\n",
-    "    n_labels=2,\n",
-    ")\n",
-    "p.add_mesh(slice,scalars=\"label\",scalar_bar_args=sargs,name='Stress DAMASK (GPa)')\n",
-    "p.view_zy()\n",
-    "p.screenshot('F:/RWTH/HiWi_IEHK/DAMASK3/Bericht/vtk/stress_DAMASK.png',transparent_background=True)"
+    "plt.figure(figsize=(12,12))\n",
+    "data = slice['label'].reshape(32,32)\n",
+    "\n",
+    "data = np.flip(data,1)\n",
+    "data = np.rot90(data,1)\n",
+    "plt.imshow(data,cmap='viridis',origin='lower',vmin=0.9,vmax=3.2)\n",
+    "\n",
+    "plt.colorbar(orientation=\"horizontal\")\n",
+    "plt.show()\n",
+    "#plt.savefig('F:/RWTH/HiWi_IEHK/DAMASK3/Bericht/vtk/difference.png',transparent_background=True)"
    ]
   },
   {
@@ -272,28 +324,17 @@
     "grid.spacing = (1,1,1)\n",
     "grid.cell_data[\"difference\"] = difference.flatten(order = \"F\")\n",
     "slice= grid.slice()\n",
-    "#data = slice['difference'].reshape(32,32)\n",
-    "#annotations_difference = {\n",
-    "#    0: '0%'\n",
-    "#}\n",
     "\n",
-    "#p = pv.Plotter(off_screen=False)\n",
-    "#sargs_difference= dict(\n",
-    "#    title='Difference',\n",
-    "#    n_labels = 2\n",
-    "#            )\n",
-    "#grid.plot(scalars=\"error\",notebook=False,cmap=colormap_error)\n",
-    "#p.add_mesh(slice,scalars=\"difference\",scalar_bar_args = sargs_difference, annotations=annotations_difference,cmap='coolwarm', norm=divnorm)\n",
     "plt.figure(figsize=(12,12))\n",
     "data = slice['difference'].reshape(32,32)\n",
     "data = np.flip(data,1)\n",
     "data = np.rot90(data,1)\n",
     "plt.imshow(data,norm=divnorm,cmap='coolwarm',origin='lower')\n",
-    "#plt.tick_params(axis=’x’, which=’both’, bottom=False, top=False, labelbottom=False)\n",
+    "\n",
     "plt.colorbar(orientation=\"horizontal\")\n",
     "#plt.show()\n",
     "plt.savefig('F:/RWTH/HiWi_IEHK/DAMASK3/Bericht/vtk/difference.png',transparent_background=True)\n",
-    "#p.screenshot('F:/RWTH/HiWi_IEHK/DAMASK3/Bericht/vtk/difference.png',transparent_background=True)\n"
+    "\n"
    ]
   },
   {
@@ -350,7 +391,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.10"
+   "version": "3.9.5"
   },
   "orig_nbformat": 4
  },