finish generate_sequence.py

core/dataset.py

@@ -0,0 +1,17 @@
+from PytorchBoot.dataset import BaseDataset
+import PytorchBoot.stereotype as stereotype
+
+@stereotype.dataset("nbv_reconstruction_dataset", comment="unfinished")
+class NBVReconstructionDataset(BaseDataset):
+    def __init__(self, config):
+        super(NBVReconstructionDataset, self).__init__(config)
+        self.config = config
+        
+    def get_datalist(self):
+        pass
+    
+    def load_view(path):
+        pass
+    
+    def load_data_item(self, idx):
+        pass

core/evaluation.py

@@ -0,0 +1,20 @@
+import torch
+import PytorchBoot.stereotype as stereotype
+
+@stereotype.evaluation_method("delta_pose_diff", comment="unfinished")
+class DeltaPoseDiff:
+    def __init__(self, config):
+        pass
+
+    def evaluate(self, output_list, data_list):
+        return
+    
+
+@stereotype.evaluation_method("coverage_rate_increase",comment="unfinished")
+class ConverageRateIncrease:
+    def __init__(self, config):
+        pass
+
+    def evaluate(self, output_list, data_list):
+        return
+    

core/pipeline.py

@@ -5,7 +5,7 @@ import PytorchBoot.stereotype as stereotype
 from PytorchBoot.factory.component_factory import ComponentFactory
 from PytorchBoot.utils import Log
 
-@stereotype.pipeline("nbv_reconstruction_pipeline")
+@stereotype.pipeline("nbv_reconstruction_pipeline", comment="should be tested")
 class NBVReconstructionPipeline(nn.Module):
     def __init__(self, config):
         super(NBVReconstructionPipeline, self).__init__()