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

Implementation of WorldExpo'10 dataset #75

Open
desenzhou opened this issue Apr 8, 2020 · 2 comments
Open

Implementation of WorldExpo'10 dataset #75

desenzhou opened this issue Apr 8, 2020 · 2 comments

Comments

@desenzhou
Copy link

Hi, I'm using CSRNet for crowd counting on world Expo'10 dataset. However, I cannot reproduce the results of the paper(8.6 MAE), I only got a MAE around 10.2. Could you please provide the implementation of world Expo'10 dataset(e.g. density map generation or how to utilize the ROI and evalutation), or at least provide some implementation details( learning rate, batch size ect.). Thank you so much!!

@desenzhou
Copy link
Author

In addition, as world Expo'10 contains 5 scenes. During evaluation, do you use the same model for 5 scenes, or one model for one scene and 5 models in total. Thanks!

@845601575
Copy link

Hi, I want to use my dataset to train the model,
but I don't know what the 'python train.py train.json val.json 0 0' means
could you explain it to me?
thank you very much!

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

2 participants