Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

關於CPN和kernel_size=1的Conv1D layer問題 #38

Open
er778899789 opened this issue Jun 22, 2020 · 1 comment
Open

關於CPN和kernel_size=1的Conv1D layer問題 #38

er778899789 opened this issue Jun 22, 2020 · 1 comment

Comments

@er778899789
Copy link

er778899789 commented Jun 22, 2020 •
edited
Loading

Hi，作者你好，我有兩個問題，想請你解惑!
(1)我使用hrnet_realtime來進行webcam實作，我對TemporalModel有些疑問，我再載入pre-trained weight時看到這weight的檔案名有CPN，請問是代表這個TemporalModel有使用到CPN的架構嗎?還是在整個project中，有哪個部分有使用到CPN?
(2)在TemporalModel的架構中，在kernel_size為3的Conv1D後，有接上一個kernel_size為1的Conv1D，我知道這個kernel_size為1的Conv1D的作用似乎是用來做線性映射，但為甚麼要做這個線性映射呢?
再請大神幫幫忙了!
@er778899789 er778899789 changed the title Question about CPN in this project 關於CPN和kernel_size=1的Conv1D layer問題 Jun 23, 2020
@lxy5513
Copy link
Owner

lxy5513 commented Sep 22, 2020

你好。
1）CPN是一种2D 关键点检测器，它可以被HRNET代替。我个人推荐用open pose因为它更稳定。特别在模糊、快速移动场景下

(2)在TemporalModel的架構中，在kernel_size為3的Conv1D後，有接上一個kernel_size為1的Conv1D，我知道這個kernel_size為1的Conv1D的作用似乎是用來做線性映射，但為甚麼要做這個線性映射呢?

我不知道你具体指的是哪一层， 但在半监督学习中，有做Conv1D来对时间维度进行卷积。

希望上面的回复能帮助到你

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@er778899789 @lxy5513