Add typical training script and some bug fixes

1. Resolve deprecated scheduler stepping issue
2. Make losses in the same scale(replace mean with sum in separate triplet loss, enlarge pose similarity loss 10x)
3. Add ReLU when compute distance in triplet loss
4. Remove classes except Model from `models` package init

1 files changed, 4 insertions, 2 deletions

diff --git a/models/rgb_part_net.py b/models/rgb_part_net.py
index 73d5952..3037da0 100644
--- a/models/rgb_part_net.py
+++ b/models/rgb_part_net.py
@@ -4,7 +4,9 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 
-from models import AutoEncoder, HorizontalPyramidMatching, PartNet
+from models.auto_encoder import AutoEncoder
+from models.hpm import HorizontalPyramidMatching
+from models.part_net import PartNet
 from utils.triplet_loss import BatchAllTripletLoss
 
 
@@ -117,7 +119,7 @@ class RGBPartNet(nn.Module):
 
             # Losses
             xrecon_loss = torch.sum(torch.stack(xrecon_loss))
-            pose_sim_loss = self._pose_sim_loss(f_p_c1, f_p_c2)
+            pose_sim_loss = self._pose_sim_loss(f_p_c1, f_p_c2) * 10
             cano_cons_loss = torch.mean(torch.stack(cano_cons_loss))
 
             return ((x_c_c1, x_p_c1),