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docs: demo, experiments and live inference API on Tiyaro #2129

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9 changes: 7 additions & 2 deletions README.md
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Expand Up @@ -21,7 +21,6 @@ It is **authored by** [**Ginés Hidalgo**](https://www.gineshidalgo.com), [**Zhe
</p>



## Contents
1. [Results](#results)
2. [Features](#features)
Expand Down Expand Up @@ -60,6 +59,12 @@ It is **authored by** [**Ginés Hidalgo**](https://www.gineshidalgo.com), [**Zhe
<sup><a href="https://ziutinyat.github.io/" target="_blank">Tianyi Zhao</a> and <a href="https://www.gineshidalgo.com" target="_blank">Ginés Hidalgo</a> testing the <a href="https://github.com/CMU-Perceptual-Computing-Lab/openpose_unity_plugin" target="_blank">OpenPose Unity Plugin</a></sup>
</p>

### Live API Demo

<p align="center">
<a href="https://console.tiyaro.ai/explore?q=openpose&pub=opensource"> <img src="https://tiyaro-public-docs.s3.us-west-2.amazonaws.com/assets/try_on_tiyaro_badge.svg"></a>
</p>

### Runtime Analysis
We show an inference time comparison between the 3 available pose estimation libraries (same hardware and conditions): OpenPose, Alpha-Pose (fast Pytorch version), and Mask R-CNN. The OpenPose runtime is constant, while the runtime of Alpha-Pose and Mask R-CNN grow linearly with the number of people. More details [**here**](https://arxiv.org/abs/1812.08008).

Expand Down Expand Up @@ -103,7 +108,7 @@ For further details, check the [major released features](doc/07_major_released_f
- [**OpenPose foot dataset**](https://cmu-perceptual-computing-lab.github.io/foot_keypoint_dataset/)
- [**OpenPose Unity Plugin**](https://github.com/CMU-Perceptual-Computing-Lab/openpose_unity_plugin)
- OpenPose papers published in **IEEE TPAMI and CVPR**. Cite them in your publications if OpenPose helps your research! (Links and more details in the [Citation](#citation) section below).

- [**Live Demo OpenPose API at Tiyaro.ai**](https://console.tiyaro.ai/explore/opensource-1-OpenPose/demo)


## Installation
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