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-rw-r--r--utils/configuration.py4
-rw-r--r--utils/triplet_loss.py2
2 files changed, 4 insertions, 2 deletions
diff --git a/utils/configuration.py b/utils/configuration.py
index c4c4b4d..4ab1520 100644
--- a/utils/configuration.py
+++ b/utils/configuration.py
@@ -7,6 +7,7 @@ class SystemConfiguration(TypedDict):
disable_acc: bool
CUDA_VISIBLE_DEVICES: str
save_dir: str
+ image_log_on: bool
class DatasetConfiguration(TypedDict):
@@ -31,6 +32,7 @@ class ModelHPConfiguration(TypedDict):
ae_feature_channels: int
f_a_c_p_dims: tuple[int, int, int]
hpm_scales: tuple[int, ...]
+ hpm_use_1x1conv: bool
hpm_use_avg_pool: bool
hpm_use_max_pool: bool
fpfe_feature_channels: int
@@ -40,7 +42,7 @@ class ModelHPConfiguration(TypedDict):
tfa_squeeze_ratio: int
tfa_num_parts: int
embedding_dims: int
- triplet_margin: float
+ triplet_margins: tuple[float, float]
class SubOptimizerHPConfiguration(TypedDict):
diff --git a/utils/triplet_loss.py b/utils/triplet_loss.py
index 8c143d6..d573ef4 100644
--- a/utils/triplet_loss.py
+++ b/utils/triplet_loss.py
@@ -34,5 +34,5 @@ class BatchAllTripletLoss(nn.Module):
parted_loss_mean = all_loss.sum(1) / non_zero_counts
parted_loss_mean[non_zero_counts == 0] = 0
- loss = parted_loss_mean.sum()
+ loss = parted_loss_mean.mean()
return loss