diff options
Diffstat (limited to 'models/rgb_part_net.py')
| -rw-r--r-- | models/rgb_part_net.py | 15 |
1 files changed, 8 insertions, 7 deletions
diff --git a/models/rgb_part_net.py b/models/rgb_part_net.py index e707c26..326ec81 100644 --- a/models/rgb_part_net.py +++ b/models/rgb_part_net.py @@ -1,4 +1,5 @@ import random +from typing import Tuple, List import torch import torch.nn as nn @@ -16,14 +17,14 @@ class RGBPartNet(nn.Module): num_class: int = 74, ae_in_channels: int = 3, ae_feature_channels: int = 64, - f_a_c_p_dims: tuple[int, int, int] = (128, 128, 64), - hpm_scales: tuple[int, ...] = (1, 2, 4), + f_a_c_p_dims: Tuple[int, int, int] = (128, 128, 64), + 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, @@ -142,8 +143,8 @@ class RGBPartNet(nn.Module): return (x_c_c1, x_p_c1), None @staticmethod - def _pose_sim_loss(f_p_c1: list[torch.Tensor], - f_p_c2: list[torch.Tensor]) -> torch.Tensor: + def _pose_sim_loss(f_p_c1: List[torch.Tensor], + f_p_c2: List[torch.Tensor]) -> torch.Tensor: f_p_c1_mean = torch.stack(f_p_c1).mean(dim=0) f_p_c2_mean = torch.stack(f_p_c2).mean(dim=0) return F.mse_loss(f_p_c1_mean, f_p_c2_mean) |