From dcb48d13432563dd36c1b8d5479de032ef335270 Mon Sep 17 00:00:00 2001 From: natke Date: Thu, 15 Feb 2024 15:31:35 -0800 Subject: [PATCH] Fix typos --- docs/tutorials/mobile/pose-detection.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/tutorials/mobile/pose-detection.md b/docs/tutorials/mobile/pose-detection.md index a71bde326d4d2..f85875441575e 100644 --- a/docs/tutorials/mobile/pose-detection.md +++ b/docs/tutorials/mobile/pose-detection.md @@ -36,9 +36,9 @@ 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.with_pre_post_processing.onnx: The ONNX model with pre and post processing included in the 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 ## Run examples of pose detection @@ -46,7 +46,7 @@ After the script has run, you will see one PyTorch model and two ONNX models: You can use the same script to run the model, supplying your own image to detect poses. ```bash -pytthon yolov8_pose_e2e.py --input_image person.jpg +python yolov8_pose_e2e.py --input_image person.jpg ``` And the output is drawn on the original image!