From 6b48c01f5a0bfb5aca38d4bd00963e417a36ffb5 Mon Sep 17 00:00:00 2001 From: natke Date: Sat, 17 Feb 2024 01:34:10 -0800 Subject: [PATCH] Replace Yolov8 with YOLOv8 --- docs/tutorials/mobile/pose-detection.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/tutorials/mobile/pose-detection.md b/docs/tutorials/mobile/pose-detection.md index 43030fd44c36f..d309a1bb0424b 100644 --- a/docs/tutorials/mobile/pose-detection.md +++ b/docs/tutorials/mobile/pose-detection.md @@ -17,7 +17,7 @@ Learn how to build and run ONNX models with built-in pre and post processing for * TOC placeholder {:toc} -## Object detection with Yolov8 +## Object detection with YOLOv8 You can find the full source code for the [Android](https://github.com/microsoft/ app in the ONNX Runtime inference examples repository. @@ -44,8 +44,8 @@ python yolo_e2e.py [--test_image ] ``` After the script has run, you will see one PyTorch model and two ONNX models: -* `yolov8n.pt`: The original Yolov8 PyTorch model -* `yolov8n.onnx`: The exported Yolov8 ONNX model +* `yolov8n.pt`: The original YOLOv8 PyTorch model +* `yolov8n.onnx`: The exported YOLOv8 ONNX model * `yolov8n.with_pre_post_processing.onnx`: The ONNX model with pre and post processing included in the model * `.out.jpg`: Your test image with bounding boxes supplied. @@ -95,7 +95,7 @@ You see the main inference code in [ObjectDetector.kt](https://github.com/micros ![Image of person with bicycle](../../../images/person-with-bicycle-and-bounding-boxes.png) -## Pose estimation with Yolov8 +## Pose estimation with YOLOv8 ### Build the pose estimation model @@ -120,8 +120,8 @@ python yolov8_pose_e2e.py ``` After the script has run, you will see one PyTorch model and two ONNX models: -* `yolov8n-pose.pt`: The original Yolov8 PyTorch model -* `yolov8n-pose.onnx`: The exported Yolov8 ONNX model +* `yolov8n-pose.pt`: The original YOLOv8 PyTorch model +* `yolov8n-pose.onnx`: The exported YOLOv8 ONNX model * `yolov8n-pose.with_pre_post_processing.onnx`: The ONNX model with pre and post processing included in the model