From 443e893acc665e2280d5616e0644dd4f5498adf3 Mon Sep 17 00:00:00 2001
From: Ivan Kharitonov <ipkharitonov@gmail.com>
Date: Wed, 25 Oct 2023 07:14:34 +0300
Subject: [PATCH] Modified using Colaboratory

---
 tutorial-mot.ipynb | 45 ++++++++++++++++++++++++++++-----------------
 1 file changed, 28 insertions(+), 17 deletions(-)

diff --git a/tutorial-mot.ipynb b/tutorial-mot.ipynb
index ae126560..370788d3 100644
--- a/tutorial-mot.ipynb
+++ b/tutorial-mot.ipynb
@@ -2,24 +2,35 @@
   "cells": [
     {
       "cell_type": "code",
-      "execution_count": 1,
+      "execution_count": 2,
       "metadata": {
-        "id": "tVDBbLHGQqWb"
+        "id": "tVDBbLHGQqWb",
+        "outputId": "f038e53e-6c99-4656-9c80-3f9928ec6671",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
       },
-      "outputs": [],
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "The autoreload extension is already loaded. To reload it, use:\n",
+            "  %reload_ext autoreload\n"
+          ]
+        }
+      ],
       "source": [
         "import sys, os\n",
         "if 'google.colab' in sys.modules:\n",
         "    !apt update > /dev/null 2>&1 && apt install libeigen3-dev > /dev/null 2>&1\n",
-        "    !git clone https://github.com/kharitonov-ivan/Multi-Object-Tracking-in-python.git > /dev/null 2>&1\n",
-        "\n",
-        "    !cd Multi-Object-Tracking-in-python && python -m pip install -e . > /dev/null 2>&1\n",
+        "    !git clone https://github.com/kharitonov-ivan/multi-object-tracking-in-python.git > /dev/null 2>&1\n",
+        "    !cd multi-object-tracking-in-python && python -m pip install -e . > /dev/null 2>&1\n",
+        "    sys.path.append('/content/Multi-Object-Tracking-in-python')\n",
         "\n",
         "%load_ext autoreload\n",
         "%autoreload 2\n",
-        "import scipy\n",
-        "import numpy as np\n",
-        "import matplotlib.pyplot as plt"
+        "import scipy, numpy as np, matplotlib.pyplot as plt"
       ]
     },
     {
@@ -110,7 +121,7 @@
           "height": 322
         }
       },
-      "execution_count": 6,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "error",
@@ -149,7 +160,7 @@
           "height": 322
         }
       },
-      "execution_count": 4,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "error",
@@ -188,7 +199,7 @@
           "height": 322
         }
       },
-      "execution_count": 3,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "error",
@@ -303,7 +314,7 @@
       "metadata": {
         "id": "_J01aNyroAS4"
       },
-      "execution_count": 20,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -385,7 +396,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 2,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -471,7 +482,7 @@
         "id": "yvDfR1KIfX5H",
         "outputId": "ccb1ebf6-372b-43c8-e609-b036436f6645"
       },
-      "execution_count": 3,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "display_data",
@@ -518,7 +529,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 19,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -558,7 +569,7 @@
       "metadata": {
         "id": "6hQgZXPddYVX"
       },
-      "execution_count": 13,
+      "execution_count": null,
       "outputs": []
     },
     {