From fe1edcdbcc55f7bd4c44094e0fe4361c468dc88e Mon Sep 17 00:00:00 2001 From: Travis CI Date: Thu, 29 Nov 2018 20:02:23 +0000 Subject: [PATCH] Deploy code docs to GitHub Pages Travis build: 440 Commit: 72d1992a64b859dc83c35274d139edeecc115370 --- html/index.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/html/index.html b/html/index.html index 5bfcbeb1..91e033fc 100644 --- a/html/index.html +++ b/html/index.html @@ -166,7 +166,7 @@ $(document).ready(function(){initNavTree('index.html','');});

<img src="doc/media/dance.gif", width="360">

Runtime Analysis

Inference time comparison between the 3 available pose estimation libraries: OpenPose, Mask R-CNN, and Alpha-Pose (fast Pytorch version):

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<img src="doc/media/dance.gif", width="360">

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<img src="doc/media/openpose_vs_competition.png", width="360">

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.

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