A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

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Цитируется: 2

05:41 мин.

6 февраля 2020 г.

10.3791/60763-v

6 февраля 2020 г.

654 просмотров
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The purpose of this protocol is to utilize pre-built convolutional neural nets to automate behavior tracking and perform detailed behavior analysis. Behavior tracking can be applied to any video data or sequences of images and is generalizable to track any user-defined object.

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DeepBehavior Toolbox

Chapters in this video

0:05

Introduction

1:05

Tensor Box

2:26

YOLOv3 and Openpose

3:37

Openpose

3:58

Results: Deepbehavior Toolbox

4:41

Conclusion

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