server merge

configs/server/server_inference_config.yaml

@@ -0,0 +1,92 @@
+
+runner:
+  general:
+    seed: 1
+    device: cuda
+    cuda_visible_devices: "0,1,2,3,4,5,6,7"
+    
+  experiment:
+    name: w_gf_wo_lf_full_debug
+    root_dir: "experiments"
+    epoch: 1 # -1 stands for last epoch
+
+  test:
+    dataset_list:
+      - OmniObject3d_train
+
+  blender_script_path: ""
+  output_dir: ""
+  pipeline: nbv_reconstruction_global_pts_pipeline
+  
+dataset:
+  OmniObject3d_train:
+    root_dir: "/home/data/hofee/project/nbv_rec/data/nbv_rec_data_512_preproc_npy"
+    model_dir: "/home/data/hofee/project/nbv_rec/data/scaled_object_meshes" 
+    source: seq_nbv_reconstruction_dataset 
+    split_file: "/home/data/hofee/project/nbv_rec/data/OmniObject3d_train.txt" 
+    type: test
+    filter_degree: 75
+    ratio: 1
+    batch_size: 1
+    num_workers: 12
+    pts_num: 4096
+    load_from_preprocess: True
+
+pipeline:
+  nbv_reconstruction_local_pts_pipeline:
+    modules:
+      pts_encoder: pointnet_encoder
+      seq_encoder: transformer_seq_encoder
+      pose_encoder: pose_encoder
+      view_finder: gf_view_finder
+    eps: 1e-5
+    global_scanned_feat: False
+
+  nbv_reconstruction_global_pts_pipeline:
+    modules:
+      pts_encoder: pointnet_encoder
+      pose_seq_encoder: transformer_pose_seq_encoder
+      pose_encoder: pose_encoder
+      view_finder: gf_view_finder
+    eps: 1e-5
+    global_scanned_feat: True
+
+
+    
+module:
+
+  pointnet_encoder:
+    in_dim: 3
+    out_dim: 1024
+    global_feat: True
+    feature_transform: False
+
+  transformer_seq_encoder:
+    pts_embed_dim: 1024
+    pose_embed_dim: 256
+    num_heads: 4
+    ffn_dim: 256
+    num_layers: 3
+    output_dim: 2048
+
+  transformer_pose_seq_encoder:
+    pose_embed_dim: 256
+    num_heads: 4
+    ffn_dim: 256
+    num_layers: 3
+    output_dim: 1024
+
+  gf_view_finder:
+    t_feat_dim: 128
+    pose_feat_dim: 256
+    main_feat_dim: 2048
+    regression_head: Rx_Ry_and_T
+    pose_mode: rot_matrix
+    per_point_feature: False
+    sample_mode: ode
+    sampling_steps: 500
+    sde_mode: ve
+
+  pose_encoder:
+    pose_dim: 9
+    out_dim: 256

core/seq_dataset.py

@@ -6,7 +6,7 @@ from PytorchBoot.utils.log_util import Log
 import torch
 import os
 import sys
-sys.path.append(r"/media/hofee/data/project/python/nbv_reconstruction/nbv_reconstruction")
+sys.path.append(r"/home/data/hofee/project/nbv_rec/nbv_reconstruction")
 
 from utils.data_load import DataLoadUtil
 from utils.pose import PoseUtil
@@ -140,15 +140,16 @@ if __name__ == "__main__":
     torch.manual_seed(seed)
     np.random.seed(seed)
     config = {
-        "root_dir": "/media/hofee/data/project/python/nbv_reconstruction/sample_for_training/scenes",
+        "root_dir": "/home/data/hofee/project/nbv_rec/data/nbv_rec_data_512_preproc_npy",
-        "split_file": "/media/hofee/data/project/python/nbv_reconstruction/sample_for_training/OmniObject3d_train.txt",
+        "split_file": "/home/data/hofee/project/nbv_rec/data/OmniObject3d_train.txt",
-        "model_dir": "/media/hofee/data/data/scaled_object_meshes",
+        "model_dir": "/home/data/hofee/project/nbv_rec/data/scaled_object_meshes",
-        "ratio": 0.5,
+        "ratio": 0.005,
         "batch_size": 2,
         "filter_degree": 75,
         "num_workers": 0,
         "pts_num": 32684,
         "type": namespace.Mode.TEST,
+        "load_from_preprocess": True
     }
     ds = SeqNBVReconstructionDataset(config)
     print(len(ds))