Update Loggers (#9760)

* Update

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update requirements.txt

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update

* Update README.md

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

tutorial.ipynb

@@ -655,7 +655,7 @@
       "cell_type": "code",
       "source": [
         "#@title Select YOLOv5 🚀 logger {run: 'auto'}\n",
-        "logger = 'TensorBoard' #@param ['TensorBoard', 'Comet', 'ClearML', 'W&B']\n",
+        "logger = 'TensorBoard' #@param ['TensorBoard', 'Comet', 'ClearML']\n",
         "\n",
         "if logger == 'TensorBoard':\n",
         "  %load_ext tensorboard\n",
@@ -664,10 +664,7 @@
         "  %pip install -q comet_ml\n",
         "  import comet_ml; comet_ml.init()\n",
         "elif logger == 'ClearML':\n",
-        "  %pip install -q clearml && clearml-init\n",
-        "elif logger == 'W&B':\n",
-        "  %pip install -q wandb\n",
-        "  import wandb; wandb.login()"
+        "  %pip install -q clearml && clearml-init"
       ],
       "metadata": {
         "id": "i3oKtE4g-aNn"
@@ -699,7 +696,7 @@
             "YOLOv5 🚀 v6.2-56-g30e674b Python-3.7.13 torch-1.12.1+cu113 CUDA:0 (Tesla V100-SXM2-16GB, 16160MiB)\n",
             "\n",
             "\u001b[34m\u001b[1mhyperparameters: \u001b[0mlr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0\n",
-            "\u001b[34m\u001b[1mWeights & Biases: \u001b[0mrun 'pip install wandb' to automatically track and visualize YOLOv5 🚀 runs in Weights & Biases\n",
+            "\u001b[34m\u001b[1mComet: \u001b[0mrun 'pip install comet' to automatically track and visualize YOLOv5 🚀 runs with Comet\n",
             "\u001b[34m\u001b[1mClearML: \u001b[0mrun 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML\n",
             "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\n",
             "\n",
@@ -905,22 +902,6 @@
         "id": "Lay2WsTjNJzP"
       }
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "DLI1JmHU7B0l"
-      },
-      "source": [
-        "## Weights & Biases Logging\n",
-        "\n",
-        "[Weights & Biases](https://wandb.ai/site?utm_campaign=repo_yolo_notebook) (W&B) is integrated with YOLOv5 for real-time visualization and cloud logging of training runs. This allows for better run comparison and introspection, as well improved visibility and collaboration for teams. To enable W&B `pip install wandb`, and then train normally (you will be guided through setup on first use). \n",
-        "\n",
-        "During training you will see live updates at [https://wandb.ai/home](https://wandb.ai/home?utm_campaign=repo_yolo_notebook), and you can create and share detailed [Reports](https://wandb.ai/glenn-jocher/yolov5_tutorial/reports/YOLOv5-COCO128-Tutorial-Results--VmlldzozMDI5OTY) of your results. For more information see the [YOLOv5 Weights & Biases Tutorial](https://github.com/ultralytics/yolov5/issues/1289).  \n",
-        "\n",
-        "<a href=\"https://wandb.ai/glenn-jocher/yolov5_tutorial\">\n",
-        "<img alt=\"Weights & Biases dashboard\" src=\"https://user-images.githubusercontent.com/26833433/182482859-288a9622-4661-48db-99de-650d1dead5c6.jpg\" width=\"1280\"/></a>"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {