APGCC
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ECCV24 - Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
Anyone manage to get the training working? cant seem to find the pre-processing python file
Dear Author, I hope this email finds you well. I am writing to seek your assistance regarding an issue I encountered while running the APGCC project. Specifically, I am facing...
The evaluate_crowd_no_overlap function is not implemented. When would this be completed?  Look forward to try APGCC!
Dear Author, Hello, May I ask if the "pre_process_label.py" file mentioned in the readme is actually the same as the "prepare_label.py" file? I haven't been able to find any other...
nice work! Could you give a simple demo for testing a single image ? not a test for a dataset
I wanted to check the method on the UCF-QNRF dataset, but there are no config files. Can you please share also the config files for the UCF-QNRF dataset
* `import` is missing in logger.py * `__pycache__` should be managed by git P.S. We hope you share training code. Thanks a lot.
I have test your inference code with few problems solved. The mae and mse value is great! But I ran into some problems when I tred to reproduce model. ...
Hi @AaronCIH , Great work and i hope it got accepted at ECCV. Can you let us know, when you plan to share the codebase? Best,