solve conflicts

configs/server/server_train_config.yaml

@@ -7,19 +7,19 @@ runner:
     parallel: False
     
   experiment:
-    name: train_ab_global_only_with_wp_p++_dense
+    name: train_ab_global_only_with_wp_p++_strong
     root_dir: "experiments"
     use_checkpoint: False
     epoch: -1 # -1 stands for last epoch
     max_epochs: 5000
     save_checkpoint_interval: 1
-    test_first: True  
+    test_first: False  
 
   train:
     optimizer:
       type: Adam
       lr: 0.0001
-    losses: 
+    losses:   
       - gf_loss
     dataset: OmniObject3d_train
   test:
@@ -39,7 +39,7 @@ dataset:
     type: train
     cache: True
     ratio: 1
-    batch_size: 80
+    batch_size: 64
     num_workers: 128
     pts_num: 8192
     load_from_preprocess: True
@@ -98,7 +98,7 @@ module:
 
   pointnet++_encoder:
     in_dim: 3
-    params_name: dense
+    params_name: strong
 
   transformer_seq_encoder:
     embed_dim: 256
@@ -110,7 +110,7 @@ module:
   gf_view_finder:
     t_feat_dim: 128
     pose_feat_dim: 256
-    main_feat_dim: 2048
+    main_feat_dim: 5120
     regression_head: Rx_Ry_and_T
     pose_mode: rot_matrix
     per_point_feature: False

core/pipeline.py

@@ -75,7 +75,7 @@ class NBVReconstructionPipeline(nn.Module):
 
     def forward_test(self, data):
         main_feat = self.get_main_feat(data)
-        repeat_num = data.get("repeat_num", 100)
+        repeat_num = data.get("repeat_num", 1)
         main_feat = main_feat.repeat(repeat_num, 1)
         estimated_delta_rot_9d, in_process_sample = self.view_finder.next_best_view(
             main_feat