diff options
Diffstat (limited to 'Codes/training_hyper_params')
| -rw-r--r-- | Codes/training_hyper_params/hyper_params.ini | 46 |
1 files changed, 46 insertions, 0 deletions
diff --git a/Codes/training_hyper_params/hyper_params.ini b/Codes/training_hyper_params/hyper_params.ini index f7868f1..963902c 100644 --- a/Codes/training_hyper_params/hyper_params.ini +++ b/Codes/training_hyper_params/hyper_params.ini @@ -41,6 +41,52 @@ LRATE_D = [0.00001, 0.000001] LRATE_D_BOUNDARIES = [40000] +[kaulsdorf_gray] +# for lp loss. e.g, 1 or 2 for l1 and l2 loss, respectively) +L_NUM = 2 +# the power to which each gradient term is raised in GDL loss +ALPHA_NUM = 1 +# the percentage of the adversarial loss to use in the combined loss +LAM_ADV = 0.05 +# the percentage of the lp loss to use in the combined loss +LAM_LP = 1 +# the percentage of the GDL loss to use in the combined loss +LAM_GDL = 1 +# the percentage of the different frame loss, LAM_FLOW = 2 is also ok, but LAM_FLOW = 0.01 is slightly better. +LAM_FLOW = 0.01 + +# For gray scale video, such as Ped2 and Ped1, learning rate of G and D star from 1e-4 and 1e-5, respectively. +LRATE_G = [0.0001, 0.00001] +LRATE_G_BOUNDARIES = [40000] + +LRATE_D = [0.00001, 0.000001] +LRATE_D_BOUNDARIES = [40000] + + +[kaulsdorf_single] +# for lp loss. e.g, 1 or 2 for l1 and l2 loss, respectively) +L_NUM = 2 +# the power to which each gradient term is raised in GDL loss +ALPHA_NUM = 1 +# the percentage of the adversarial loss to use in the combined loss +LAM_ADV = 0.05 +# the percentage of the lp loss to use in the combined loss, +# we found in smaller lp is slightly better in avenue, but not too much difference +# LAM_LP = 1 is 84.9, LAM_LP = 0.001 may arrive to 85.1 +LAM_LP = 0.001 +# the percentage of the GDL loss to use in the combined loss +LAM_GDL = 1 +# the percentage of the different frame loss +LAM_FLOW = 2 + +# For rgb color scale video, such as Ped2 and Ped1, learning rate of G and D star from 2e-4 and 2e-5, respectively. +LRATE_G = [0.0002, 0.00002] +LRATE_G_BOUNDARIES = [100000] + +LRATE_D = [0.00002, 0.000002] +LRATE_D_BOUNDARIES = [100000] + + [avenue] # for lp loss. e.g, 1 or 2 for l1 and l2 loss, respectively) L_NUM = 2 |
