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.

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

About detect single person #76

Open
dagongji10 opened this issue Apr 26, 2019 · 16 comments
Open

About detect single person #76

dagongji10 opened this issue Apr 26, 2019 · 16 comments

Comments

@dagongji10
Copy link

I use FPN to detect person,when there are many people and close to each other, the box will get some overlap. Just as below picture show.
git
Is there any way to solve this problem?

@Deicide-LC
Copy link

@dagongji10 Excuse me, can I ask you a question? Must I provide bbox of pictures when I test a picture?Could you please give me a script which can visualize test results like what you show? Thank you very much

@dagongji10
Copy link
Author

@dagongji10 Excuse me, can I ask you a question? Must I provide bbox of pictures when I test a picture?Could you please give me a script which can visualize test results like what you show? Thank you very much

not necessary,in fact,CPN will only return one person for a picture. If there are more than one in the image, we need to crop each one use bbox and then put them to CPN.

I send the test cpn script to you email.

@Deicide-LC
Copy link

@dagongji10 Sorry for my late reply, I have got a cold these days.My email is 15706103195@163.com, I will be appreciate it if you can send me the test script

@huigoing
Copy link

Hello ,I want to visualize results. can you share your scripts with me ? 201923668@qq.com . Thank you very much

@huigoing
Copy link

I use FPN to detect person,when there are many people and close to each other, the box will get some overlap. Just as below picture show.
git
Is there any way to solve this problem?
Hello, can you share your FPN+CPN scripts? i use the cpn only detect one person in a picture, i want to detect mutil persons . but i dont know how add fpn to the cpn, can you help me? thanks.

@mit10000
Copy link

@dagongji10 Excuse me, can I ask you a question? Must I provide bbox of pictures when I test a picture?Could you please give me a script which can visualize test results like what you show? Thank you very much

not necessary,in fact,CPN will only return one person for a picture. If there are more than one in the image, we need to crop each one use bbox and then put them to CPN.

I send the test cpn script to you email.

@dagongji10 Could you please share the testing script? Thanks, mit10000@hotmail.com

@sunny0212452
Copy link

@dagongji10 I will be appreciate it if you can send me the test script. Thanks, chunxueshi666@163.com

@didiaibiancheng
Copy link

@dagongji10 Excuse me,Could you please share the script which can visualize test results?Thank you very much . hddmm1995@sina.com

@dagongji10
Copy link
Author

@dagongji10 Excuse me,Could you please share the script which can visualize test results?Thank you very much . hddmm1995@sina.com

send to you. Pls check it.

@xudongwang0828
Copy link

Hello,could you send me the test script?Thanks! 1064565318@qq.com

@multimedia2021-plan
Copy link

@dagongji10 Excuse me,Could you please share the testing script? Thank you very much . huangjiejie@hdu.edu.cn

@didiaibiancheng
Copy link

didiaibiancheng commented Nov 4, 2019 via email

@songjialun
Copy link

Hello,could you send me the test script? My email is 810673560@qq.com, thank you very much!

@xudongwang0828
Copy link

Hello,could you send me the test script? My email is 810673560@qq.com, thank you very much!

sorry,i don't have the test script yet.

@dagongji10
Copy link
Author

Hello,could you send me the test script? My email is 810673560@qq.com, thank you very much!

sorry,i don't have the test script yet.

I have upload test_cpn.py to csdn, maybe you can get the script from here.

@songjialun
Copy link

songjialun commented Sep 1, 2020 via email

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

9 participants