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I want to train the train images with 0.3 gsd like the paper said. And I have run the function rescale_ims() in the simrdwn-master/data_prep/yolt_data_prep_funcs.py ,but the test mAP is not 0.72 like the paper said, I get the 0.42 mAP. Could you please tell me how to generate the train images with 0.3 gsd? Thank you very much.
The text was updated successfully, but these errors were encountered:
I train the original cowc datasets with 0.15 gsd and get 0.72 mAP, but when I run the rescale_ims() in the simrdwn-master/data_prep/yolt_data_prep_funcs.py to generate the images with 0.3 gsd, I get 0.42 mAP. In your paper, the car mAP is 0.72 when the cowc images' gsd is 0.3. I can't get as good results as in your paper.I don't know why.
I want to train the train images with 0.3 gsd like the paper said. And I have run the function rescale_ims() in the simrdwn-master/data_prep/yolt_data_prep_funcs.py ,but the test mAP is not 0.72 like the paper said, I get the 0.42 mAP. Could you please tell me how to generate the train images with 0.3 gsd? Thank you very much.
The text was updated successfully, but these errors were encountered: