Comments (5)
You can find the structure for the dataset in #4. For the ground-truth annotation file, you can generate the density map using this script and the expected input ground-truth for the script is a binary map containing head annotations.
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Thank you so much.
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Could you share the structure of WorldExpo'10 dataset? I want to know the train, test data file structure. And Could you provide sample annotation file? I don't know how the annotation file is organized. If you could share the dataset structure and sample annotation file, it will be very helpful for me.
Hi, how did you get the WorldExpo'10 dataset? I sent an email to Prof. Xie Rong but never got a reply.
If possible, could you share the download link for the dataset with me, thank you very much!
My email is [email protected]
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Sorry, i couldn’t get WorldExpo’10 dataset for the same reason. I sent an email to Prof.Xie Rong but didn’t hear back,too.
from fscc.
Sorry, i couldn’t get WorldExpo’10 dataset for the same reason. I sent an email to Prof.Xie Rong but didn’t hear back,too.
Thanks for your reply.
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Related Issues (11)
- Bug in metalearner.py line 85 HOT 1
- NameError: name 'CustomDataset' is not defined
- Preprocessing on the dataset HOT 1
- The directory structure of the WorldExpo'10 dataset HOT 4
- "The size of tensor a (1024) must match the size of tensor b(128) at non-singleton dimension 3" HOT 2
- code help HOT 1
- Pretrained CSRNet HOT 2
- Pretrained model for CSRNet HOT 2
- What's the TestDataset?
- About the experiment on Meta-LSTM
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