update imports

Author: capjamesg

notebooks/how-to-detect-and-count-objects-in-polygon-zone.ipynb

@@ -178,30 +178,24 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 24,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
         "id": "8w4nepQU00rY",
         "outputId": "d2c148de-e871-49dd-b127-731e151200f8"
       },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Ultralytics YOLOv8.2.32 🚀 Python-3.12.2 torch-2.3.1 CPU (Apple M3 Max)\n",
-            "Setup complete ✅ (16 CPUs, 64.0 GB RAM, 111.8/926.4 GB disk)\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "!pip install \"ultralytics<=8.3.40\"\n",
         "\n",
         "from IPython import display\n",
         "display.clear_output()\n",
         "\n",
+        "# prevent ultralytics from tracking your activity\n",
+        "!yolo settings sync=False\n",
+        "\n",
         "import ultralytics\n",
         "ultralytics.checks()"
       ]
@@ -1758,7 +1752,8 @@
       "name": "python3"
     },
     "language_info": {
-      "name": "python"
+      "name": "python",
+      "version": "3.9.6"
     },
     "widgets": {
       "application/vnd.jupyter.widget-state+json": {

notebooks/how-to-estimate-vehicle-speed-with-computer-vision.ipynb

@@ -136,6 +136,16 @@
         "## Imports"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# prevent ultralytics from tracking your activity\n",
+        "!yolo settings sync=False"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 3,

notebooks/how-to-track-and-count-vehicles-with-yolov8-and-supervison.ipynb

@@ -180,16 +180,7 @@
         "id": "IGckxTNGLKDh",
         "outputId": "f9814b3c-c201-40b6-e642-72e474ab14f6"
       },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "Ultralytics YOLOv8.0.119 🚀 Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
-            "Setup complete ✅ (4 CPUs, 25.5 GB RAM, 24.1/166.8 GB disk)\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "# Pip install method (recommended)\n",
         "\n",
@@ -198,6 +189,9 @@
         "from IPython import display\n",
         "display.clear_output()\n",
         "\n",
+        "# prevent ultralytics from tracking your activity\n",
+        "!yolo settings sync=False\n",
+        "\n",
         "import ultralytics\n",
         "ultralytics.checks()"
       ]
@@ -686,7 +680,8 @@
       "name": "python3"
     },
     "language_info": {
-      "name": "python"
+      "name": "python",
+      "version": "3.9.6"
     }
   },
   "nbformat": 4,

notebooks/how-to-track-and-count-vehicles-with-yolov8.ipynb

@@ -63,7 +63,10 @@
         }
       ],
       "source": [
-        "!pip install \"ultralytics<=8.3.40\" supervision -q"
+        "!pip install \"ultralytics<=8.3.40\" supervision -q\n",
+        "\n",
+        "# prevent ultralytics from tracking your activity\n",
+        "!yolo settings sync=False"
       ]
     },
     {

notebooks/how-to-use-polygonzone-annotate-and-supervision.ipynb

@@ -52,7 +52,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# prevent ultralytics from tracking your activity\n",
+    "!yolo settings sync=False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {

notebooks/how-to-use-yolo8v-with-sam.ipynb

@@ -162,6 +162,8 @@
       ],
       "source": [
         "%pip install \"ultralytics<=8.3.40\" supervision roboflow\n",
+        "# prevent ultralytics from tracking your activity\n",
+        "!yolo settings sync=False\n",
         "import ultralytics\n",
         "ultralytics.checks()"
       ]

notebooks/train-yolo11-instance-segmentation-on-custom-dataset.ipynb

@@ -162,6 +162,8 @@
       ],
       "source": [
         "%pip install \"ultralytics<=8.3.40\" supervision roboflow\n",
+        "# prevent ultralytics from tracking your activity\n",
+        "!yolo settings sync=False\n",
         "import ultralytics\n",
         "ultralytics.checks()"
       ]

notebooks/train-yolo11-object-detection-on-custom-dataset.ipynb

@@ -134,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -155,6 +155,9 @@
    "source": [
     "!pip install ultralytics==8.2.103 -q\n",
     "\n",
+    "# prevent ultralytics from tracking your activity\n",
+    "!yolo settings sync=False\n",
+    "\n",
     "import ultralytics\n",
     "ultralytics.checks()"
    ]

notebooks/train-yolov8-classification-on-custom-dataset.ipynb

@@ -133,7 +133,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -154,6 +154,9 @@
       "source": [
         "!pip install ultralytics==8.2.103 -q\n",
         "\n",
+        "# prevent ultralytics from tracking your activity\n",
+        "!yolo settings sync=False\n",
+        "\n",
         "import ultralytics\n",
         "ultralytics.checks()"
       ]