Comments (2)
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Make sure to have the ground truth and the network prediction to be of the same dimension when computing the RMSE loss. You could solve this by upsampling the predicted density map to match the expected ground-truth dimension. Feel free to reopen this, if there are other concerns.
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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
- code help HOT 1
- Pretrained CSRNet HOT 2
- Pretrained model for CSRNet HOT 2
- About dataset HOT 5
- What's the TestDataset?
- About the experiment on Meta-LSTM
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