Modify training to update init_weights path

CHANGELOG.md

@@ -3,6 +3,10 @@
 Observes [Semantic Versioning](https://semver.org/spec/v2.0.0.html) standard and 
 [Keep a Changelog](https://keepachangelog.com/en/1.0.0/) convention.
 
+## [0.2.11] - 2023-11-28
+
++ Fix - Modify training to update init_weights path in pose_cfg.yaml
+
 ## [0.2.10] - 2023-11-20
 
 + Fix - Revert fixing of networkx version in setup 

element_deeplabcut/train.py

@@ -11,6 +11,7 @@
 from pathlib import Path
 from element_interface.utils import find_full_path, dict_to_uuid
 from .readers import dlc_reader
+import yaml
 
 schema = dj.schema()
 _linking_module = None
@@ -241,8 +242,7 @@ class ModelTraining(dj.Computed):
     # https://github.com/DeepLabCut/DeepLabCut/issues/70
 
     def make(self, key):
-        from deeplabcut import train_network  # isort:skip
-
+        import deeplabcut
         try:
             from deeplabcut.utils.auxiliaryfunctions import (
                 get_model_folder,
@@ -288,13 +288,26 @@ def make(self, key):
         )
         model_train_folder = project_path / model_folder / "train"
 
+        # update init_weight
+        with open(model_train_folder / "pose_cfg.yaml", "r") as f:
+            pose_cfg = yaml.safe_load(f)
+        init_weights_path = Path(pose_cfg["init_weights"])
+
+        if "pose_estimation_tensorflow/models/pretrained" in init_weights_path.as_posix():
+            # this is the res_net models, construct new path here
+            init_weights_path = Path(deeplabcut.__path__[0]) / "pose_estimation_tensorflow/models/pretrained" / init_weights_path.name
+        else:
+            # this is existing snapshot weights, update path here
+            init_weights_path = model_train_folder / init_weights_path.name
+
         edit_config(
             model_train_folder / "pose_cfg.yaml",
-            {"project_path": project_path.as_posix()},
+            {"project_path": project_path.as_posix(), 
+             "init_weights": init_weights_path.as_posix()},
         )
 
         # ---- Trigger DLC model training job ----
-        train_network_input_args = list(inspect.signature(train_network).parameters)
+        train_network_input_args = list(inspect.signature(deeplabcut.train_network).parameters)
         train_network_kwargs = {
             k: int(v) if k in ("shuffle", "trainingsetindex", "maxiters") else v
             for k, v in dlc_config.items()
@@ -304,7 +317,7 @@ def make(self, key):
             train_network_kwargs[k] = int(train_network_kwargs[k])
 
         try:
-            train_network(dlc_cfg_filepath, **train_network_kwargs)
+            deeplabcut.train_network(dlc_cfg_filepath, **train_network_kwargs)
         except KeyboardInterrupt:  # Instructions indicate to train until interrupt
             print("DLC training stopped via Keyboard Interrupt")
 

element_deeplabcut/version.py

@@ -1,4 +1,4 @@
 """
 Package metadata
 """
-__version__ = "0.2.10"
+__version__ = "0.2.11"