[main] Clear all outputs

michaelgroeger · May 2, 2023 · 339e10e · 339e10e
1 parent 633c946
commit 339e10e
Showing 1 changed file with 5 additions and 32 deletions.
diff --git a/generate_bounding_box.ipynb b/generate_bounding_box.ipynb
@@ -2,17 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Creating Boxes from masks: 10it [00:00, 55.19it/s]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from infer_bounding_boxes import infer_all_bboxes\n",
     "from config import DATA_DIR\n",
@@ -24,28 +16,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "torch.Size([1, 288, 384])\n",
-      "torch.Size([1, 288, 384])\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 1600x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from PIL import Image\n",
     "import os\n",
@@ -84,7 +57,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.13"
+   "version": "3.10.8"
   },
   "orig_nbformat": 4,
   "vscode": {