I have started working on crowd counting based on deep learning. I have initially followed this link, https://github.com/leeyeehoo/CSRNet-pytorch. It used ShanhaiTech dataset to train the basic CSRNet model. Now I want to train the same model on WorldExpo dataset. In this case, how to generate/get the ground truth images?
Have a look at Article One Shot Crowd Counting with Deep Scale Adaptive Neural Network
https://crabwq.github.io/pdf/2019%20Learning%20from%20Synthetic%20Data%20for%20Crowd%20Counting%20in%20the%20Wild.pdf
https://github.com/princenarula222/Crowd_Annotation
Dear Hafsa Moontari Ali ,
Look the link, maybe useful.
https://arxiv.org/ftp/arxiv/papers/1710/1710.09757.pdf
Regards,
Shafagat
Hey Hafsa Moontari Ali ;
Have a look at
https://paperswithcode.com/task/crowd-counting
- Badges
- Science topic