first commit

1 files changed, 103 insertions, 0 deletions

diff --git a/Codes/training_hyper_params/hyper_params.ini b/Codes/training_hyper_params/hyper_params.ini
new file mode 100644
index 0000000..99dbf00
--- /dev/null
+++ b/Codes/training_hyper_params/hyper_params.ini
@@ -0,0 +1,103 @@
+[ped2]
+# 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
+
+LRATE_G = [0.0001, 0.00001]
+LRATE_G_BOUNDARIES = [7000]
+
+LRATE_D = [0.00001, 0.000001]
+LRATE_D_BOUNDARIES = [7000]
+
+[ped1]
+# 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 = 0.01
+
+LRATE_G = [0.0001, 0.00001]
+LRATE_G_BOUNDARIES = [40000]
+
+LRATE_D = [0.00001, 0.000001]
+LRATE_D_BOUNDARIES = [40000]
+
+
+[avenue]
+# 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 = 0
+# 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
+
+LRATE_G = [0.0002, 0.00002]
+LRATE_G_BOUNDARIES = [100000]
+
+LRATE_D = [0.00002, 0.000002]
+LRATE_D_BOUNDARIES = [100000]
+
+
+[shanghaitech]
+# 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
+
+LRATE_G = [0.0002, 0.00002]
+LRATE_G_BOUNDARIES = [50000]
+
+LRATE_D = [0.00002, 0.000002]
+LRATE_D_BOUNDARIES = [50000]
+
+
+[toydata]
+# 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
+
+LRATE_G = [0.0001, 0.00001]
+LRATE_G_BOUNDARIES = [7000]
+
+LRATE_D = [0.00001, 0.000001]
+LRATE_D_BOUNDARIES = [7000]