dingkeyan93 / intrinsic-image-popularity Goto Github PK
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The pytorch code of the paper "Intrinsic Image Popularity Assessment"
Hi. I read in the paper from the introduction part that the IIPA score is over a score of 100, but it is only mentioned once. So I just want to confirm again is the IIPA score over 100? Thanks in advance!
I am interested in obtaining access to the comprehensive dataset comprising 2.5 million PDIPs. Could you please provide guidance on how to acquire the complete dataset?
Very cool paper! Wanted to try your code out and got this error:
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is >False. If you are running on a CPU-only machine, please use torch.load with >map_location=torch.device('cpu') to map your storages to the CPU.
Is it possible to use your model to run inference with a CPU? Thanks for the help!
It seems to just rate any face highly, full stop...
How do I process the given dataset to generate PDIPs and train a prediction model as shown in the paper? Any steps?
Is there a way to input a list of image paths instead of manually typing each path? Or is there a way it can read a text file of image paths?
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