From 7a4254af225b91271184fd0cdb0e9e0a5604580b Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Sat, 29 Nov 2025 09:00:08 +0000
Subject: [PATCH 1/2] Update onnx requirement from <1.18.0,>=1.12.0 to
 >=1.12.0,<1.20.0

Updates the requirements on [onnx](https://github.com/onnx/onnx) to permit the latest version.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](https://github.com/onnx/onnx/compare/v1.12.0...v1.19.1)

---
updated-dependencies:
- dependency-name: onnx
  dependency-version: 1.19.1
  dependency-type: direct:development
...

Signed-off-by: dependabot[bot] <support@github.com>
---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index eaf5956af..2d502be87 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -90,7 +90,7 @@ dev = [
 export = [
     "numpy<2.0.0", # TF 2.20 compatibility
     "onnx>=1.12.0; platform_system != 'Darwin'", # ONNX export
-    "onnx>=1.12.0,<1.18.0; platform_system == 'Darwin'",  # TF inference hanging on MacOS
+    "onnx>=1.12.0,<1.20.0; platform_system == 'Darwin'",  # TF inference hanging on MacOS
     "coremltools>=8.0; platform_system != 'Windows' and python_version <= '3.13'", # CoreML supported on macOS and Linux
     "scikit-learn>=1.3.2; platform_system != 'Windows' and python_version <= '3.13'", # CoreML k-means quantization
     "openvino>=2024.0.0",  # OpenVINO export

From e97d0b84b37312f2a32ec5f7c2ac50c7d075df66 Mon Sep 17 00:00:00 2001
From: UltralyticsAssistant <web@ultralytics.com>
Date: Sat, 29 Nov 2025 09:01:48 +0000
Subject: [PATCH 2/2] Auto-format by https://ultralytics.com/actions

---
 predict.py | 2 +-
 train.py   | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/predict.py b/predict.py
index 3e7837c11..b6dadf0cd 100644
--- a/predict.py
+++ b/predict.py
@@ -14,4 +14,4 @@
     probs = result.probs  # 分类输出的Probs对象
     obb = result.obb  # OBB输出的Oriented boxes对象
     result.show()  # 显示到屏幕
-    result.save(filename="result.jpg")  # 保存到磁盘
\ No newline at end of file
+    result.save(filename="result.jpg")  # 保存到磁盘
diff --git a/train.py b/train.py
index b5e6c222f..6a8745d76 100644
--- a/train.py
+++ b/train.py
@@ -6,4 +6,4 @@
 model = YOLO("yolo11n.yaml").load("yolo11n.pt")  # 从YAML构建并转移权重
 
 # 训练模型
-results = model.train(data="coco8.yaml", epochs=100, imgsz=640)
\ No newline at end of file
+results = model.train(data="coco8.yaml", epochs=100, imgsz=640)