refactor get_backbone and a little change

config/baseline.yaml

@@ -79,7 +79,7 @@ scheduler_cfg:
   scheduler: MultiStepLR
 trainer_cfg:
   enable_float16: true # half_percesion float for memory reduction and speedup
-  fix_BN: true
+  fix_BN: false
   log_iter: 100
   restore_ckpt_strict: true
   restore_hint: 0

lib/data/transform.py

@@ -4,6 +4,11 @@ import numpy as np
 from utils import is_list, is_dict, get_valid_args
 
 
+class NoOperation():
+    def __call__(self, x):
+        return x
+
+
 class BaseSilTransform():
     def __init__(self, disvor=255.0, img_shape=None):
         self.disvor = disvor

lib/modeling/base_model.py

@@ -171,29 +171,22 @@ class BaseModel(MetaModel, nn.Module):
             if cfgs['trainer_cfg']['fix_BN']:
                 self.fix_BN()
 
-    def get_backbone(self, model_cfg):
+    def get_backbone(self, backbone_cfg):
         """Get the backbone of the model."""
-        def _get_backbone(backbone_cfg):
-            if is_dict(backbone_cfg):
-                Backbone = get_attr_from([backbones], backbone_cfg['type'])
-                valid_args = get_valid_args(Backbone, backbone_cfg, ['type'])
-                return Backbone(**valid_args)
-            if is_list(backbone_cfg):
-                Backbone = nn.ModuleList([_get_backbone(cfg)
-                                          for cfg in backbone_cfg])
-                return Backbone
-            raise ValueError(
-                "Error type for -Backbone-Cfg-, supported: (A list of) dict.")
-
-        if 'backbone_cfg' in model_cfg.keys():
-            backbone_cfg = model_cfg['backbone_cfg']
-            Backbone = _get_backbone(backbone_cfg)
-        else:
-            Backbone = None
-        return Backbone
+        if is_dict(backbone_cfg):
+            Backbone = get_attr_from([backbones], backbone_cfg['type'])
+            valid_args = get_valid_args(Backbone, backbone_cfg, ['type'])
+            return Backbone(**valid_args)
+        if is_list(backbone_cfg):
+            Backbone = nn.ModuleList([self.get_backbone(cfg)
+                                      for cfg in backbone_cfg])
+            return Backbone
+        raise ValueError(
+            "Error type for -Backbone-Cfg-, supported: (A list of) dict.")
 
     def build_network(self, model_cfg):
-        self.Backbone = self.get_backbone(model_cfg)
+        if 'backbone_cfg' in model_cfg.keys():
+            self.Backbone = self.get_backbone(model_cfg['backbone_cfg'])
 
     def init_parameters(self):
         for m in self.modules():
@@ -280,7 +273,6 @@ class BaseModel(MetaModel, nn.Module):
                 self.msg_mgr.log_warning(
                     "Restore NO Scheduler from %s !!!" % save_name)
         self.msg_mgr.log_info("Restore Parameters from %s !!!" % save_name)
-        del checkpoint
 
     def resume_ckpt(self, restore_hint):
         if isinstance(restore_hint, int):

lib/modeling/models/baseline.py

@@ -5,11 +5,9 @@ from ..modules import SetBlockWrapper, HorizontalPoolingPyramid, PackSequenceWra
 
 
 class Baseline(BaseModel):
-    def __init__(self, cfgs, is_training):
-        super().__init__(cfgs, is_training)
 
     def build_network(self, model_cfg):
-        self.Backbone = self.get_backbone(model_cfg)
+        self.Backbone = self.get_backbone(model_cfg['backbone_cfg'])
         self.Backbone = SetBlockWrapper(self.Backbone)
         self.FCs = SeparateFCs(**model_cfg['SeparateFCs'])
         self.BNNecks = SeparateBNNecks(**model_cfg['SeparateBNNecks'])

lib/modeling/models/gaitpart.py

@@ -88,7 +88,7 @@ class GaitPart(BaseModel):
 
     def build_network(self, model_cfg):
 
-        self.Backbone = self.get_backbone(model_cfg)
+        self.Backbone = self.get_backbone(model_cfg['backbone_cfg'])
         head_cfg = model_cfg['SeparateFCs']
         self.Head = SeparateFCs(**model_cfg['SeparateFCs'])
         self.Backbone = SetBlockWrapper(self.Backbone)