Merge branch 'main' into Group_Normalization

.github/workflows/ci.yaml

@@ -39,7 +39,8 @@ on:
 
 jobs:
   HUB:
-    if: github.repository == 'ultralytics/ultralytics' && (github.event_name == 'schedule' || github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.hub == 'true'))
+    # if: github.repository == 'ultralytics/ultralytics' && (github.event_name == 'schedule' || github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.hub == 'true'))
+    if: github.repository == 'ultralytics/ultralytics' && 'workflow_dispatch' && github.event.inputs.hub == 'true'
     runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: false

.github/workflows/docker.yaml

@@ -84,11 +84,8 @@ jobs:
     outputs:
       new_release: ${{ steps.check_tag.outputs.new_release }}
     steps:
-      - name: Cleanup disk
+      - name: Cleanup disk space
-        # Free up to 30GB of disk space per https://github.com/ultralytics/ultralytics/pull/15848
+        uses: ultralytics/actions/cleanup-disk@main
-        uses: jlumbroso/free-disk-space@v1.3.1
-        with:
-          tool-cache: true
 
       - name: Checkout repo
         uses: actions/checkout@v4

docs/en/datasets/index.md

@@ -19,7 +19,11 @@ Ultralytics provides support for various datasets to facilitate computer vision
   <strong>Watch:</strong> Ultralytics Datasets Overview
 </p>
 
-## Ultralytics Explorer 🚀 NEW
+## Ultralytics Explorer
+
+!!! warning "Community Note ⚠️"
+
+    As of **`ultralytics>=8.3.10`**, Ultralytics explorer support has been deprecated. But don't worry! You can now access similar and even enhanced functionality through [Ultralytics HUB](https://hub.ultralytics.com/), our intuitive no-code platform designed to streamline your workflow. With Ultralytics HUB, you can continue exploring, visualizing, and managing your data effortlessly, all without writing a single line of code. Make sure to check it out and take advantage of its powerful features!🚀
 
 Create [embeddings](https://www.ultralytics.com/glossary/embeddings) for your dataset, search for similar images, run SQL queries, perform semantic search and even search using natural language! You can get started with our GUI app or build your own using the API. Learn more [here](explorer/index.md).
 

docs/en/modes/predict.md

@@ -665,7 +665,7 @@ For more details see the [`Probs` class documentation](../reference/engine/resul
     model = YOLO("yolo11n-obb.pt")
 
     # Run inference on an image
-    results = model("bus.jpg")  # results list
+    results = model("boats.jpg")  # results list
 
     # View results
     for r in results:

docs/en/tasks/obb.md

@@ -141,14 +141,14 @@ Use a trained YOLO11n-obb model to run predictions on images.
         model = YOLO("path/to/best.pt")  # load a custom model
 
         # Predict with the model
-        results = model("https://ultralytics.com/images/bus.jpg")  # predict on an image
+        results = model("https://ultralytics.com/images/boats.jpg")  # predict on an image
         ```
 
     === "CLI"
 
         ```bash
-        yolo obb predict model=yolo11n-obb.pt source='https://ultralytics.com/images/bus.jpg'  # predict with official model
+        yolo obb predict model=yolo11n-obb.pt source='https://ultralytics.com/images/boats.jpg'  # predict with official model
-        yolo obb predict model=path/to/best.pt source='https://ultralytics.com/images/bus.jpg'  # predict with custom model
+        yolo obb predict model=path/to/best.pt source='https://ultralytics.com/images/boats.jpg'  # predict with custom model
         ```
 
 <p align="center">

examples/tutorial.ipynb

@@ -583,7 +583,7 @@
         "\n",
         "model = YOLO('yolo11n-obb.pt')  # load a pretrained YOLO OBB model\n",
         "model.train(data='dota8.yaml', epochs=3)  # train the model\n",
-        "model('https://ultralytics.com/images/bus.jpg')  # predict on an image"
+        "model('https://ultralytics.com/images/boats.jpg')  # predict on an image"
       ],
       "metadata": {
         "id": "IJNKClOOB5YS"

pyproject.toml

@@ -61,7 +61,8 @@ classifiers = [
 
 # Required dependencies ------------------------------------------------------------------------------------------------
 dependencies = [
-    "numpy>=1.23.0", # temporary patch for compat errors https://github.com/ultralytics/yolov5/actions/runs/9538130424/job/26286956354
+    "numpy>=1.23.0",
+    "numpy<2.0.0; sys_platform == 'darwin'", # macOS OpenVINO errors https://github.com/ultralytics/ultralytics/pull/17221
     "matplotlib>=3.3.0",
     "opencv-python>=4.6.0",
     "pillow>=7.1.2",

ultralytics/cfg/__init__.py

@@ -809,7 +809,9 @@ def entrypoint(debug=""):
 
     # Mode
     if mode in {"predict", "track"} and "source" not in overrides:
-        overrides["source"] = DEFAULT_CFG.source or ASSETS
+        overrides["source"] = (
+            "https://ultralytics.com/images/boats.jpg" if task == "obb" else DEFAULT_CFG.source or ASSETS
+        )
         LOGGER.warning(f"WARNING ⚠️ 'source' argument is missing. Using default 'source={overrides['source']}'.")
     elif mode in {"train", "val"}:
         if "data" not in overrides and "resume" not in overrides:

ultralytics/engine/exporter.py

@@ -457,6 +457,7 @@ class Exporter:
     @try_export
     def export_openvino(self, prefix=colorstr("OpenVINO:")):
         """YOLO OpenVINO export."""
+        # WARNING: numpy>=2.0.0 issue with OpenVINO on macOS https://github.com/ultralytics/ultralytics/pull/17221
         check_requirements(f'openvino{"<=2024.0.0" if ARM64 else ">=2024.0.0"}')  # fix OpenVINO issue on ARM64
         import openvino as ov