Rename 'MacOS' to 'macOS' (#7349)

.github/workflows/greetings.yml

@@ -56,4 +56,4 @@ jobs:
 
             <a href="https://github.com/ultralytics/yolov5/actions"><img src="https://github.com/ultralytics/yolov5/workflows/CI%20CPU%20testing/badge.svg" alt="CI CPU testing"></a>
 
-            If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), validation ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
+            If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), validation ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on macOS, Windows, and Ubuntu every 24 hours and on every commit.

detect.py

@@ -17,7 +17,7 @@ Usage - formats:
                                          yolov5s.onnx               # ONNX Runtime or OpenCV DNN with --dnn
                                          yolov5s.xml                # OpenVINO
                                          yolov5s.engine             # TensorRT
-                                         yolov5s.mlmodel            # CoreML (MacOS-only)
+                                         yolov5s.mlmodel            # CoreML (macOS-only)
                                          yolov5s_saved_model        # TensorFlow SavedModel
                                          yolov5s.pb                 # TensorFlow GraphDef
                                          yolov5s.tflite             # TensorFlow Lite

export.py

@@ -29,7 +29,7 @@ Inference:
                                          yolov5s.onnx               # ONNX Runtime or OpenCV DNN with --dnn
                                          yolov5s.xml                # OpenVINO
                                          yolov5s.engine             # TensorRT
-                                         yolov5s.mlmodel            # CoreML (MacOS-only)
+                                         yolov5s.mlmodel            # CoreML (macOS-only)
                                          yolov5s_saved_model        # TensorFlow SavedModel
                                          yolov5s.pb                 # TensorFlow GraphDef
                                          yolov5s.tflite             # TensorFlow Lite

tutorial.ipynb

@@ -962,7 +962,7 @@
         "\n",
         "![CI CPU testing](https://github.com/ultralytics/yolov5/workflows/CI%20CPU%20testing/badge.svg)\n",
         "\n",
-        "If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), testing ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.\n"
+        "If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), testing ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on macOS, Windows, and Ubuntu every 24 hours and on every commit.\n"
       ]
     },
     {

utils/loggers/wandb/README.md

@@ -149,4 +149,4 @@ YOLOv5 may be run in any of the following up-to-date verified environments (with
 
 ![CI CPU testing](https://github.com/ultralytics/yolov5/workflows/CI%20CPU%20testing/badge.svg)
 
-If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), validation ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
+If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), validation ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on macOS, Windows, and Ubuntu every 24 hours and on every commit.

val.py

@@ -11,7 +11,7 @@ Usage - formats:
                                       yolov5s.onnx               # ONNX Runtime or OpenCV DNN with --dnn
                                       yolov5s.xml                # OpenVINO
                                       yolov5s.engine             # TensorRT
-                                      yolov5s.mlmodel            # CoreML (MacOS-only)
+                                      yolov5s.mlmodel            # CoreML (macOS-only)
                                       yolov5s_saved_model        # TensorFlow SavedModel
                                       yolov5s.pb                 # TensorFlow GraphDef
                                       yolov5s.tflite             # TensorFlow Lite