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hkchengrex avatar hkchengrex commented on June 2, 2024 1

0 -> 1 -> 2 = With BL30K
0 -> 3 = Without BL30K

STCN/util/hyper_para.py

Lines 67 to 80 in 5f11ad4

elif self.args['stage'] == 2:
# 300K main training for after BL30K
self.args['lr'] = none_or_default(self.args['lr'], 1e-5)
self.args['batch_size'] = none_or_default(self.args['batch_size'], 4)
self.args['iterations'] = none_or_default(self.args['iterations'], 300000)
self.args['steps'] = none_or_default(self.args['steps'], [250000])
self.args['single_object'] = False
elif self.args['stage'] == 3:
# 150K main training for after static image pretraining
self.args['lr'] = none_or_default(self.args['lr'], 1e-5)
self.args['batch_size'] = none_or_default(self.args['batch_size'], 4)
self.args['iterations'] = none_or_default(self.args['iterations'], 150000)
self.args['steps'] = none_or_default(self.args['steps'], [125000])
self.args['single_object'] = False

from stcn.

longmalongma avatar longmalongma commented on June 2, 2024

0 -> 1 -> 2 = With BL30K
0 -> 3 = Without BL30K

STCN/util/hyper_para.py

Lines 67 to 80 in 5f11ad4

elif self.args['stage'] == 2:
# 300K main training for after BL30K
self.args['lr'] = none_or_default(self.args['lr'], 1e-5)
self.args['batch_size'] = none_or_default(self.args['batch_size'], 4)
self.args['iterations'] = none_or_default(self.args['iterations'], 300000)
self.args['steps'] = none_or_default(self.args['steps'], [250000])
self.args['single_object'] = False
elif self.args['stage'] == 3:
# 150K main training for after static image pretraining
self.args['lr'] = none_or_default(self.args['lr'], 1e-5)
self.args['batch_size'] = none_or_default(self.args['batch_size'], 4)
self.args['iterations'] = none_or_default(self.args['iterations'], 150000)
self.args['steps'] = none_or_default(self.args['steps'], [125000])
self.args['single_object'] = False

Ok, thanks, I got it1

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