Merge branch 'main' into afpn

.github/workflows/docker.yaml

@@ -86,7 +86,7 @@ jobs:
 
       - name: Notify on failure
         if: github.event_name == 'push' && (cancelled() || failure())
-        uses: slackapi/slack-github-action@v1.23.0
+        uses: slackapi/slack-github-action@v1.24.0
         with:
           payload: |
             {"text": "<!channel> GitHub Actions error for ${{ github.workflow }} ❌\n\n\n*Repository:* https://github.com/${{ github.repository }}\n*Action:* https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}\n*Author:* ${{ github.actor }}\n*Event:* ${{ github.event_name }}\n"}

docs/datasets/detect/coco.md

@@ -21,7 +21,7 @@ The COCO dataset is split into three subsets:
 
 1. **Train2017**: This subset contains 118K images for training object detection, segmentation, and captioning models.
 2. **Val2017**: This subset has 5K images used for validation purposes during model training.
-3. **Test2017**: This subset consists of 20K images used for testing and benchmarking the trained models. Ground truth annotations for this subset are not publicly available, and the results are submitted to the [COCO evaluation server](https://competitions.codalab.org/competitions/5181) for performance evaluation.
+3. **Test2017**: This subset consists of 20K images used for testing and benchmarking the trained models. Ground truth annotations for this subset are not publicly available, and the results are submitted to the [COCO evaluation server](https://codalab.lisn.upsaclay.fr/competitions/7384) for performance evaluation.
 
 ## Applications
 

docs/datasets/pose/coco.md

@@ -22,7 +22,7 @@ The COCO-Pose dataset is split into three subsets:
 
 1. **Train2017**: This subset contains a portion of the 118K images from the COCO dataset, annotated for training pose estimation models.
 2. **Val2017**: This subset has a selection of images used for validation purposes during model training.
-3. **Test2017**: This subset consists of images used for testing and benchmarking the trained models. Ground truth annotations for this subset are not publicly available, and the results are submitted to the [COCO evaluation server](https://competitions.codalab.org/competitions/5181) for performance evaluation.
+3. **Test2017**: This subset consists of images used for testing and benchmarking the trained models. Ground truth annotations for this subset are not publicly available, and the results are submitted to the [COCO evaluation server](https://codalab.lisn.upsaclay.fr/competitions/7384) for performance evaluation.
 
 ## Applications
 

docs/datasets/segment/coco.md

@@ -21,7 +21,7 @@ The COCO-Seg dataset is partitioned into three subsets:
 
 1. **Train2017**: This subset contains 118K images for training instance segmentation models.
 2. **Val2017**: This subset includes 5K images used for validation purposes during model training.
-3. **Test2017**: This subset encompasses 20K images used for testing and benchmarking the trained models. Ground truth annotations for this subset are not publicly available, and the results are submitted to the [COCO evaluation server](https://competitions.codalab.org/competitions/5181) for performance evaluation.
+3. **Test2017**: This subset encompasses 20K images used for testing and benchmarking the trained models. Ground truth annotations for this subset are not publicly available, and the results are submitted to the [COCO evaluation server](https://codalab.lisn.upsaclay.fr/competitions/7383) for performance evaluation.
 
 ## Applications
 

ultralytics/utils/__init__.py

@@ -568,9 +568,10 @@ def get_user_config_dir(sub_dir='Ultralytics'):
         raise ValueError(f'Unsupported operating system: {platform.system()}')
 
     # GCP and AWS lambda fix, only /tmp is writeable
-    if not is_dir_writeable(str(path.parent)):
-        path = Path('/tmp') / sub_dir
-        LOGGER.warning(f"WARNING ⚠️ user config directory is not writeable, defaulting to '{path}'.")
+    if not is_dir_writeable(path.parent):
+        LOGGER.warning(f"WARNING ⚠️ user config directory '{path}' is not writeable, defaulting to '/tmp' or CWD."
+                       'Alternatively you can define a YOLO_CONFIG_DIR environment variable for this path.')
+        path = Path('/tmp') / sub_dir if is_dir_writeable('/tmp') else Path().cwd() / sub_dir
 
     # Create the subdirectory if it does not exist
     path.mkdir(parents=True, exist_ok=True)
@@ -578,7 +579,7 @@ def get_user_config_dir(sub_dir='Ultralytics'):
     return path
 
 
-USER_CONFIG_DIR = Path(os.getenv('YOLO_CONFIG_DIR', get_user_config_dir()))  # Ultralytics settings dir
+USER_CONFIG_DIR = Path(os.getenv('YOLO_CONFIG_DIR') or get_user_config_dir())  # Ultralytics settings dir
 SETTINGS_YAML = USER_CONFIG_DIR / 'settings.yaml'