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xw-hu / DSC

CVPR 2018 (Oral) & TPAMI 2019
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loss is so big #9

Closed Jee-King closed 5 years ago

Jee-King commented 5 years ago

Hi, when I run train.py in DSC_detection, the loss was very big, like this: Iteration 60, loss = 640045 I1116 18:20:46.603199 22386 solver.cpp:244] Train net output #0: loss-dsn1 = 122860 (* 1 = 122860 loss) I1116 18:20:46.603204 22386 solver.cpp:244] Train net output #1: loss-dsn2 = 117984 (* 1 = 117984 loss) I1116 18:20:46.603207 22386 solver.cpp:244] Train net output #2: loss-dsn3 = 123544 (* 1 = 123544 loss) I1116 18:20:46.603211 22386 solver.cpp:244] Train net output #3: loss-dsn4 = 84440.4 (* 1 = 84440.4 loss) I1116 18:20:46.603215 22386 solver.cpp:244] Train net output #4: loss-dsn5 = 104531 (* 1 = 104531 loss) I1116 18:20:46.603219 22386 solver.cpp:244] Train net output #5: loss-dsn6 = 87796.2 (* 1 = 87796.2 loss) I1116 18:20:46.603222 22386 solver.cpp:244] Train net output #6: loss-fuse = 79751.9 (* 1 = 79751.9 loss) I1116 18:20:46.603225 22386 solver.cpp:244] Train net output #7: loss-global = 120688 (* 1 = 120688 loss) Could you give me some suggestions? Thank you very much!

xw-hu commented 5 years ago

No problem, if only the loss decreases.