Created using Colaboratory

tutorial.ipynb

@@ -517,7 +517,7 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/ultralytics/yolov3/blob/master/tutorial.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
@@ -529,7 +529,7 @@
         "<img src=\"https://user-images.githubusercontent.com/26833433/99805971-90f66b80-2b3d-11eb-80eb-8b45a15cb68e.jpg\">\n",
         "\n",
         "This is the **official YOLOv3 🚀 notebook** authored by **Ultralytics**, and is freely available for redistribution under the [GPL-3.0 license](https://choosealicense.com/licenses/gpl-3.0/). \n",
-        "For more information please visit https://github.com/ultralytics/yolov5 and https://www.ultralytics.com. Thank you!"
+        "For more information please visit https://github.com/ultralytics/yolov3 and https://www.ultralytics.com. Thank you!"
       ]
     },
     {
@@ -553,8 +553,8 @@
         "outputId": "9b022435-4197-41fc-abea-81f86ce857d0"
       },
       "source": [
-        "!git clone https://github.com/ultralytics/yolov5  # clone repo\n",
-        "%cd yolov5\n",
+        "!git clone https://github.com/ultralytics/yolov3  # clone repo\n",
+        "%cd yolov3\n",
         "%pip install -qr requirements.txt  # install dependencies\n",
         "\n",
         "import torch\n",
@@ -563,7 +563,7 @@
         "clear_output()\n",
         "print(f\"Setup complete. Using torch {torch.__version__} ({torch.cuda.get_device_properties(0).name if torch.cuda.is_available() else 'CPU'})\")"
       ],
-      "execution_count": 31,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -719,7 +719,7 @@
       },
       "source": [
         "# Run YOLOv3 on COCO val2017\n",
-        "!python test.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65"
+        "!python test.py --weights yolov3.pt --data coco.yaml --img 640 --iou 0.65"
       ],
       "execution_count": null,
       "outputs": [
@@ -1145,8 +1145,8 @@
       "source": [
         "# Re-clone repo\n",
         "%cd ..\n",
-        "%rm -rf yolov5 && git clone https://github.com/ultralytics/yolov5\n",
-        "%cd yolov5"
+        "%rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3\n",
+        "%cd yolov3"
       ],
       "execution_count": null,
       "outputs": []
@@ -1175,10 +1175,10 @@
         "import torch\n",
         "\n",
         "# Model\n",
-        "model = torch.hub.load('ultralytics/yolov5', 'yolov3')\n",
+        "model = torch.hub.load('ultralytics/yolov3', 'yolov3')  # or 'yolov3_spp', 'yolov3_tiny'\n",
         "\n",
         "# Images\n",
-        "dir = 'https://github.com/ultralytics/yolov5/raw/master/data/images/'\n",
+        "dir = 'https://github.com/ultralytics/yolov3/raw/master/data/images/'\n",
         "imgs = [dir + f for f in ('zidane.jpg', 'bus.jpg')]  # batch of images\n",
         "\n",
         "# Inference\n",