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-rw-r--r--models/rgb_part_net.py14
1 files changed, 8 insertions, 6 deletions
diff --git a/models/rgb_part_net.py b/models/rgb_part_net.py
index 8ebcfd3..841de96 100644
--- a/models/rgb_part_net.py
+++ b/models/rgb_part_net.py
@@ -1,3 +1,5 @@
+from typing import Tuple
+
import torch
import torch.nn as nn
@@ -12,19 +14,19 @@ class RGBPartNet(nn.Module):
self,
ae_in_channels: int = 3,
ae_feature_channels: int = 64,
- f_a_c_p_dims: tuple[int, int, int] = (128, 128, 64),
+ f_a_c_p_dims: Tuple[int, int, int] = (128, 128, 64),
hpm_use_1x1conv: bool = False,
- hpm_scales: tuple[int, ...] = (1, 2, 4),
+ hpm_scales: Tuple[int, ...] = (1, 2, 4),
hpm_use_avg_pool: bool = True,
hpm_use_max_pool: bool = True,
fpfe_feature_channels: int = 32,
- fpfe_kernel_sizes: tuple[tuple, ...] = ((5, 3), (3, 3), (3, 3)),
- fpfe_paddings: tuple[tuple, ...] = ((2, 1), (1, 1), (1, 1)),
- fpfe_halving: tuple[int, ...] = (0, 2, 3),
+ fpfe_kernel_sizes: Tuple[Tuple, ...] = ((5, 3), (3, 3), (3, 3)),
+ fpfe_paddings: Tuple[Tuple, ...] = ((2, 1), (1, 1), (1, 1)),
+ fpfe_halving: Tuple[int, ...] = (0, 2, 3),
tfa_squeeze_ratio: int = 4,
tfa_num_parts: int = 16,
embedding_dims: int = 256,
- triplet_margins: tuple[float, float] = (0.2, 0.2),
+ triplet_margins: Tuple[float, float] = (0.2, 0.2),
image_log_on: bool = False
):
super().__init__()