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How to evaluate the pretrained model on the jumpcp dataset. #14
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And here is the whole code for the dataset in which I load the image locally for IO efficiency:
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Hi, thanks for your great work! Now I am trying to test the trained model (with weight
cpjump_cellpaint_bf_channelvit_small_p8_with_hcs_supervised
) on jumpcp with my custom dataloader (since I don't want so many config files in my project). The code for data generation is:But the results are not good (~0.2% accuracy). Can you give me some suggestion how to apply the trained model with a custom dataloader (or how to design the dataloader)
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