提交 72d1992a 编写于 作者: G gineshidalgo99

Fixed README typo

上级 d7305345
......@@ -79,7 +79,7 @@ For further details, check [all released features](doc/released_features.md) and
### Runtime Analysis
Inference time comparison between the 3 available pose estimation libraries: OpenPose, Mask R-CNN, and Alpha-Pose (fast Pytorch version):
<p align="center">
<img src="doc/media/dance.gif", width="360">
<img src="doc/media/openpose_vs_competition.png", width="360">
</p>
This analysis was performed using the same images for each algorithm and a batch size of 1. Each analysis was repeated 1000 times and then averaged. This was all performed on a system with a Nvidia 1080 Ti and CUDA 8. Megvii (Face++) and MSRA GitHub repositories were excluded because they only provide pose estimation results given a cropped person. However, they suffer the same problem than Alpha-Pose and Mask R-CNN, their runtimes grow linearly with the number of people.
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册