Welcome to Level Up! the show where we show you how to build solutions hands-on with Google Cloud Platform.
In this episode, Solutions Architect Markku Lepistö will show you how to build a locally running sports analyzer, using the Coral USB Accelerator with Google Edge TPU
00:34 - Using video intelligence to analyze sports form
00:52 - Edge AI sports analyzer idea
01:05 - Posenet ML model
01:40 - Using a drone to record training data of your sports
02:03 - Izu peninsula training camp
04:50 - Analyzing the training videos with ML
05:58 - Handling difficult video angles
Free Trial: Google Cloud Platform → [ Ссылка ]
Hands-on training with Qwiklabs
→ Application Development - Python - [ Ссылка ]
→ Machine Learning APIs - [ Ссылка ]
→ Google Cloud Platform Essentials - [ Ссылка ]
Follow us on Twitter
→ [ Ссылка ]
→ [ Ссылка ]
→ [ Ссылка ]
Subscribe to our Google Cloud APAC channel for more for more episodes where we dive deeper and build on previous examples → [ Ссылка ]
References:
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. George Papandreou, Tyler Lixuan Zhu et al
[ Ссылка ]
Coral PoseNet. Mike Tyka et al
[ Ссылка ]
![](https://s2.save4k.ru/pic/hH2kENvQe8s/maxresdefault.jpg)