scwuchung

i found that the output tensor are =0.5] = 1 ,tmp[tmp

test result dice : 0.000

2

thanks for sharing this great project , and i met some problems when use it for LUNA16 dataset segmentation .the training loss is low ,but the test reaults are :dice:...

they mean the number of the training samples? `X_final = np.zeros((3516, img_size, img_size, 3), dtype=np.uint8)` `X_final[i+3268]=image`

hi,if I want to adapt visible to thermal ,what should the parameter "adaptation" be ? what the number is in your experiments?hope for yout reply,thanks.