OBB Docs updates (#7568)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Muhammad Rizwan Munawar <chr043416@gmail.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
8 months ago · 596c068b18
parent 9d4ffa43bc
commit 596c068b18
8 changed files with 52 additions and 43 deletions
--- a/.github/workflows/links.yml
+++ b/.github/workflows/links.yml
@ -34,7 +34,9 @@ jobs:
          retry_wait_seconds: 60
          max_attempts: 3
          command: |
-            lychee --accept 403,429,500,502,999 \
+            lychee \
+            --scheme https \
+            --accept 403,429,500,502,999 \
            --exclude-loopback \
            --exclude 'https?://(www\.)?(linkedin\.com|twitter\.com|instagram\.com|kaggle\.com|fonts\.gstatic\.com|url\.com)' \
            --exclude-path docs/zh \
@ -48,7 +50,8 @@ jobs:
            --exclude-path docs/hi \
            --exclude-path docs/ar \
            --github-token ${{ secrets.GITHUB_TOKEN }} \
-            './**/*.md' './**/*.html'
+            './**/*.md' \
+            './**/*.html'

      - name: Test Markdown, HTML, YAML, Python and Notebook links with retry
        if: github.event_name == 'workflow_dispatch'
@ -58,7 +61,9 @@ jobs:
          retry_wait_seconds: 60
          max_attempts: 3
          command: |
-            lychee --accept 429,999 \
+            lychee \
+            --scheme https \
+            --accept 429,999 \
            --exclude-loopback \
            --exclude 'https?://(www\.)?(linkedin\.com|twitter\.com|instagram\.com|kaggle\.com|fonts\.gstatic\.com|url\.com)' \
            --exclude-path '**/ci.yaml' \
@ -73,4 +78,9 @@ jobs:
            --exclude-path docs/hi \
            --exclude-path docs/ar \
            --github-token ${{ secrets.GITHUB_TOKEN }} \
-            './**/*.md' './**/*.html' './**/*.yml' './**/*.yaml' './**/*.py' './**/*.ipynb'
+            './**/*.md' \
+            './**/*.html' \
+            './**/*.yml' \
+            './**/*.yaml' \
+            './**/*.py' \
+            './**/*.ipynb'
--- a/README.md
+++ b/README.md
@ -102,14 +102,14 @@ See YOLOv8 [Python Docs](https://docs.ultralytics.com/usage/python) for more exa

 Ultralytics provides interactive notebooks for YOLOv8, covering training, validation, tracking, and more. Each notebook is paired with a [YouTube](https://youtube.com/ultralytics) tutorial, making it easy to learn and implement advanced YOLOv8 features.

-| Docs                                                                                                                        | Notebook                                                                                                                                                                                                                   |                                                                                                     YouTube                                                                                                     |
-| --------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-| <a href="https://docs.ultralytics.com/modes/">YOLOv8 Train, Val, Predict and Export Modes</a>                               | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>                  | <a href="https://youtu.be/j8uQc0qB91s"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> |
-| <a href="https://docs.ultralytics.com/hub/quickstart/">Ultralytics HUB QuickStart</a>                                       | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/hub.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>                       | <a href="https://youtu.be/lveF9iCMIzc"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> |
-| <a href="https://docs.ultralytics.com/modes/track/">YOLOv8 Multi-Object Tracking in Videos</a>                              | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/object_tracking.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>           | <a href="https://youtu.be/hHyHmOtmEgs"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> |
-| <a href="https://docs.ultralytics.com/guides/object-counting/">YOLOv8 Object Counting in Videos</a>                         | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/object_counting.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>           | <a href="https://youtu.be/Ag2e-5_NpS0"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> |
-| <a href="https://docs.ultralytics.com/guides/heatmaps/">YOLOv8 Heatmaps in Videos</a>                                       | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/heatmaps.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>                  | <a href="https://youtu.be/4ezde5-nZZw"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> |
-| <a href="https://docs.ultralytics.com/datasets/explorer/">Ultralytics Datasets Explorer with SQL and OpenAI Integration</a> | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/docs/en/datasets/explorer/explorer.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> |                                                                                                   Coming Soon                                                                                                   |
+| Docs                                                                                                                              | Notebook                                                                                                                                                                                                                   |                                                                                                     YouTube                                                                                                     |
+| --------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+| <a href="https://docs.ultralytics.com/modes/">YOLOv8 Train, Val, Predict and Export Modes</a>                                     | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>                  | <a href="https://youtu.be/j8uQc0qB91s"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> |
+| <a href="https://docs.ultralytics.com/hub/quickstart/">Ultralytics HUB QuickStart</a>                                             | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/hub.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>                       | <a href="https://youtu.be/lveF9iCMIzc"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> |
+| <a href="https://docs.ultralytics.com/modes/track/">YOLOv8 Multi-Object Tracking in Videos</a>                                    | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/object_tracking.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>           | <a href="https://youtu.be/hHyHmOtmEgs"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> |
+| <a href="https://docs.ultralytics.com/guides/object-counting/">YOLOv8 Object Counting in Videos</a>                               | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/object_counting.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>           | <a href="https://youtu.be/Ag2e-5_NpS0"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> |
+| <a href="https://docs.ultralytics.com/guides/heatmaps/">YOLOv8 Heatmaps in Videos</a>                                             | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/heatmaps.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>                  | <a href="https://youtu.be/4ezde5-nZZw"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube Video"></center></a> |
+| <a href="https://docs.ultralytics.com/datasets/explorer/">Ultralytics Datasets Explorer with SQL and OpenAI Integration 🚀 New</a> | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/docs/en/datasets/explorer/explorer.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> |                                                                                                   Coming Soon                                                                                                   |

 ## <div align="center">Models</div>

--- a/README.zh-CN.md
+++ b/README.zh-CN.md
@ -104,14 +104,14 @@ success = model.export(format="onnx")  # 将模型导出为 ONNX 格式

 Ultralytics 提供了 YOLOv8 的交互式笔记本，涵盖训练、验证、跟踪等内容。每个笔记本都配有 [YouTube](https://youtube.com/ultralytics) 教程，使学习和实现高级 YOLOv8 功能变得简单。

-| 文档                                                                                               | 笔记本                                                                                                                                                                                                                      |                                                                                                   YouTube                                                                                                    |
-| ------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-| <a href="https://docs.ultralytics.com/modes/">YOLOv8 训练、验证、预测和导出模式</a>                           | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a>                  | <a href="https://youtu.be/j8uQc0qB91s"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube 视频"></center></a> |
-| <a href="https://docs.ultralytics.com/hub/quickstart/">Ultralytics HUB 快速开始</a>                  | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/hub.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a>                       | <a href="https://youtu.be/lveF9iCMIzc"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube 视频"></center></a> |
-| <a href="https://docs.ultralytics.com/modes/track/">YOLOv8 视频中的多对象跟踪</a>                         | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/object_tracking.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a>           | <a href="https://youtu.be/hHyHmOtmEgs"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube 视频"></center></a> |
-| <a href="https://docs.ultralytics.com/guides/object-counting/">YOLOv8 视频中的对象计数</a>               | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/object_counting.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a>           | <a href="https://youtu.be/Ag2e-5_NpS0"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube 视频"></center></a> |
-| <a href="https://docs.ultralytics.com/guides/heatmaps/">YOLOv8 视频中的热图</a>                        | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/heatmaps.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a>                  | <a href="https://youtu.be/4ezde5-nZZw"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube 视频"></center></a> |
-| <a href="https://docs.ultralytics.com/datasets/explorer/">Ultralytics 数据集浏览器，集成 SQL 和 OpenAI</a> | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/docs/en/datasets/explorer/explorer.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a> |                                                                                                     即将推出                                                                                                     |
+| 文档                                                                                                     | 笔记本                                                                                                                                                                                                                      |                                                                                                   YouTube                                                                                                    |
+| ------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+| <a href="https://docs.ultralytics.com/modes/">YOLOv8 训练、验证、预测和导出模式</a>                                 | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a>                  | <a href="https://youtu.be/j8uQc0qB91s"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube 视频"></center></a> |
+| <a href="https://docs.ultralytics.com/hub/quickstart/">Ultralytics HUB 快速开始</a>                        | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/hub.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a>                       | <a href="https://youtu.be/lveF9iCMIzc"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube 视频"></center></a> |
+| <a href="https://docs.ultralytics.com/modes/track/">YOLOv8 视频中的多对象跟踪</a>                               | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/object_tracking.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a>           | <a href="https://youtu.be/hHyHmOtmEgs"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube 视频"></center></a> |
+| <a href="https://docs.ultralytics.com/guides/object-counting/">YOLOv8 视频中的对象计数</a>                     | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/object_counting.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a>           | <a href="https://youtu.be/Ag2e-5_NpS0"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube 视频"></center></a> |
+| <a href="https://docs.ultralytics.com/guides/heatmaps/">YOLOv8 视频中的热图</a>                              | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/heatmaps.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a>                  | <a href="https://youtu.be/4ezde5-nZZw"><center><img width=30% src="https://raw.githubusercontent.com/ultralytics/assets/main/social/logo-social-youtube-rect.png" alt="Ultralytics Youtube 视频"></center></a> |
+| <a href="https://docs.ultralytics.com/datasets/explorer/">Ultralytics 数据集浏览器，集成 SQL 和 OpenAI 🚀 New</a> | <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/docs/en/datasets/explorer/explorer.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="在 Colab 中打开"></a> |                                                                                                     即将推出                                                                                                     |

 ## <div align="center">模型</div>

--- a/docs/en/tasks/obb.md
+++ b/docs/en/tasks/obb.md
@ -42,7 +42,7 @@ YOLOv8 pretrained OBB models are shown here, which are pretrained on the [DOTAv1

 ## Train

-Train YOLOv8n-obb on the dota8.yaml dataset for 100 epochs at image size 640. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.
+Train YOLOv8n-obb on the `dota8.yaml` dataset for 100 epochs at image size 640. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.

 !!! Example

@ -57,19 +57,19 @@ Train YOLOv8n-obb on the dota8.yaml dataset for 100 epochs at image size 640. Fo
        model = YOLO('yolov8n-obb.yaml').load('yolov8n.pt')  # build from YAML and transfer weights

        # Train the model
-        results = model.train(data='dota8-obb.yaml', epochs=100, imgsz=640)
+        results = model.train(data='dota8.yaml', epochs=100, imgsz=640)
        ```
    === "CLI"

        ```bash
        # Build a new model from YAML and start training from scratch
-        yolo obb train data=dota8-obb.yaml model=yolov8n-obb.yaml epochs=100 imgsz=640
+        yolo obb train data=dota8.yaml model=yolov8n-obb.yaml epochs=100 imgsz=640

        # Start training from a pretrained *.pt model
-        yolo obb train data=dota8-obb.yaml model=yolov8n-obb.pt epochs=100 imgsz=640
+        yolo obb train data=dota8.yaml model=yolov8n-obb.pt epochs=100 imgsz=640

        # Build a new model from YAML, transfer pretrained weights to it and start training
-        yolo obb train data=dota8-obb.yaml model=yolov8n-obb.yaml pretrained=yolov8n-obb.pt epochs=100 imgsz=640
+        yolo obb train data=dota8.yaml model=yolov8n-obb.yaml pretrained=yolov8n-obb.pt epochs=100 imgsz=640
        ```

 ### Dataset format
@ -78,7 +78,7 @@ OBB dataset format can be found in detail in the [Dataset Guide](../datasets/obb

 ## Val

-Validate trained YOLOv8n-obb model accuracy on the dota8-obb dataset. No argument need to passed as the `model`
+Validate trained YOLOv8n-obb model accuracy on the DOTA8 dataset. No argument need to passed as the `model`
 retains it's training `data` and arguments as model attributes.

 !!! Example
@ -93,7 +93,7 @@ retains it's training `data` and arguments as model attributes.
        model = YOLO('path/to/best.pt')  # load a custom model

        # Validate the model
-        metrics = model.val()  # no arguments needed, dataset and settings remembered
+        metrics = model.val(data='dota8.yaml')  # no arguments needed, dataset and settings remembered
        metrics.box.map    # map50-95(B)
        metrics.box.map50  # map50(B)
        metrics.box.map75  # map75(B)
@ -102,8 +102,8 @@ retains it's training `data` and arguments as model attributes.
    === "CLI"

        ```bash
-        yolo obb val model=yolov8n-obb.pt  # val official model
-        yolo obb val model=path/to/best.pt  # val custom model
+        yolo obb val model=yolov8n-obb.pt data=dota8.yaml  # val official model
+        yolo obb val model=path/to/best.pt data=path/to/data.yaml  # val custom model
        ```

 ## Predict
--- a/examples/heatmaps.ipynb
+++ b/examples/heatmaps.ipynb
@ -83,20 +83,19 @@
        "model = YOLO(\"yolov8n.pt\")\n",
        "cap = cv2.VideoCapture(\"path/to/video/file.mp4\")\n",
        "assert cap.isOpened(), \"Error reading video file\"\n",
-        "\n",
        "w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))\n",
        "\n",
        "# Video writer\n",
-        "video_writer = cv2.VideoWriter(\"/content/people walking gray.mp4\",\n",
+        "video_writer = cv2.VideoWriter(\"heatmap_output.avi\",\n",
        "                               cv2.VideoWriter_fourcc(*'mp4v'),\n",
        "                               fps,\n",
-        "                              (w, h))\n",
+        "                               (w, h))\n",
        "\n",
        "# Init heatmap\n",
        "heatmap_obj = heatmap.Heatmap()\n",
-        "heatmap_obj.set_args(colormap=cv2.COLORMAP_PARULA ,\n",
-        "                     imw=cap.get(4),  # should same as cap height\n",
-        "                     imh=cap.get(3),  # should same as cap width\n",
+        "heatmap_obj.set_args(colormap=cv2.COLORMAP_PARULA,\n",
+        "                     imw=w,\n",
+        "                     imh=h,\n",
        "                     view_img=True,\n",
        "                     shape=\"circle\")\n",
        "\n",
@ -143,4 +142,4 @@
      }
    }
  ]
-}
+}
--- a/examples/object_counting.ipynb
+++ b/examples/object_counting.ipynb
@ -83,11 +83,10 @@
        "model = YOLO(\"yolov8n.pt\")\n",
        "cap = cv2.VideoCapture(\"path/to/video/file.mp4\")\n",
        "assert cap.isOpened(), \"Error reading video file\"\n",
-        "\n",
        "w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))\n",
        "\n",
-        "# Define line points\n",
-        "line_points = [(20, 400), (1080, 400)]\n",
+        "# Define region points\n",
+        "region_points = [(20, 400), (1080, 404), (1080, 360), (20, 360)]\n",
        "\n",
        "# Video writer\n",
        "video_writer = cv2.VideoWriter(\"object_counting_output.avi\",\n",
@ -98,7 +97,7 @@
        "# Init Object Counter\n",
        "counter = object_counter.ObjectCounter()\n",
        "counter.set_args(view_img=True,\n",
-        "                 reg_pts=line_points,\n",
+        "                 reg_pts=region_points,\n",
        "                 classes_names=model.names,\n",
        "                 draw_tracks=True)\n",
        "\n",
@ -145,4 +144,4 @@
      }
    }
  ]
-}
+}
--- a/ultralytics/cfg/init.py
+++ b/ultralytics/cfg/init.py
@ -37,7 +37,7 @@ TASK2DATA = {
    "segment": "coco8-seg.yaml",
    "classify": "imagenet10",
    "pose": "coco8-pose.yaml",
-    "obb": "dota8-obb.yaml",
+    "obb": "dota8.yaml",
 }
 TASK2MODEL = {
    "detect": "yolov8n.pt",
--- a/ultralytics/utils/callbacks/tensorboard.py
+++ b/ultralytics/utils/callbacks/tensorboard.py
@ -10,8 +10,9 @@ try:
    assert SETTINGS["tensorboard"] is True  # verify integration is enabled
    WRITER = None  # TensorBoard SummaryWriter instance

-except (ImportError, AssertionError, TypeError):
+except (ImportError, AssertionError, TypeError, AttributeError):
    # TypeError for handling 'Descriptors cannot not be created directly.' protobuf errors in Windows
+    # AttributeError: module 'tensorflow' has no attribute 'io' if 'tensorflow' not installed
    SummaryWriter = None