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tutorial.ipynb

@@ -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": 1,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -601,7 +601,7 @@
         "!python detect.py --weights yolov3.pt --img 640 --conf 0.25 --source data/images/\n",
         "Image(filename='runs/detect/exp/zidane.jpg', width=600)"
       ],
-      "execution_count": 5,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -681,7 +681,7 @@
         "torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017val.zip', 'tmp.zip')\n",
         "!unzip -q tmp.zip -d ../ && rm tmp.zip"
       ],
-      "execution_count": 3,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "display_data",
@@ -721,7 +721,7 @@
         "# Run YOLOv3 on COCO val2017\n",
         "!python test.py --weights yolov3.pt --data coco.yaml --img 640 --iou 0.65"
       ],
-      "execution_count": 4,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -899,9 +899,10 @@
         "id": "2fLAV42oNb7M"
       },
       "source": [
-        "# Weights & Biases (optional)\n",
-        "%pip install -q wandb  \n",
-        "!wandb login  # use 'wandb disabled' or 'wandb enabled' to disable or enable"
+        "# Weights & Biases  (optional)\n",
+        "%pip install -q wandb\n",
+        "import wandb\n",
+        "wandb.login()"
       ],
       "execution_count": null,
       "outputs": []
@@ -919,7 +920,7 @@
         "# Train YOLOv3 on COCO128 for 3 epochs\n",
         "!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov3.pt --nosave --cache"
       ],
-      "execution_count": 6,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",