kleinzcy
commented
3 years ago Sorry for the late reply and your attention.
I have not encountered a situation like you. Maybe you can check if the training set is right by eval the training set, and you can also check the learning curve.
Best wish!
Klein
发件人: dawn_lan @.*** 发送时间: 2021年7月11日 15:50 收件人: kleinzcy/SASSnet 抄送: Subscribed 主题: [kleinzcy/SASSnet] about the test (#4)
Dear author：
Hi, Thanks for your great work! I am interested in your work.
Sorry to disturb you.I have some questions. I downloaded the "2018 Atrial Segmentation Challenge COMPLETE DATASET",and then used the "la_heart_processing.py" file to process the "Training Set", and put in in the corresponding directory，and the file “train_gan_sdfloss” work on, training success. But when I test with the train model "iter_6000.pth", the result showed :average metric is [ 0.18091923 0.10030632 53.18094769 23.59822443]. If I test with your "best.pth" it can get the same result as your paper showed.
Can you give me some answers? Thanks
Best wish!
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18677064404
Dear author：
Hi, Thanks for your great work! I am interested in your work.
Sorry to disturb you.I have some questions. I downloaded the "2018 Atrial Segmentation Challenge COMPLETE DATASET",and then used the "la_heart_processing.py" file to process the "Training Set", and put in in the corresponding directory，and the file “train_gan_sdfloss” work on, training success. But when I test with the train model "iter_6000.pth", the result showed :average metric is [ 0.18091923 0.10030632 53.18094769 23.59822443]. If I test with your "best.pth" it can get the same result as your paper showed.
Can you give me some answers? Thanks
Best wish!