Refactor Loggers : Move code outside train.py (ultralytics#9241)

* update

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* update

* update

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

train.py

@@ -91,17 +91,16 @@ def train(hyp, opt, device, callbacks):  # hyp is path/to/hyp.yaml or hyp dictio
     data_dict = None
     if RANK in {-1, 0}:
         loggers = Loggers(save_dir, weights, opt, hyp, LOGGER)  # loggers instance
-        if loggers.clearml:
-            data_dict = loggers.clearml.data_dict  # None if no ClearML dataset or filled in by ClearML
-        if loggers.wandb:
-            data_dict = loggers.wandb.data_dict
-            if resume:
-                weights, epochs, hyp, batch_size = opt.weights, opt.epochs, opt.hyp, opt.batch_size
 
         # Register actions
         for k in methods(loggers):
             callbacks.register_action(k, callback=getattr(loggers, k))
 
+        # Process custom dataset artifact link
+        data_dict = loggers.remote_dataset
+        if resume:  # If resuming runs from remote artifact
+            weights, epochs, hyp, batch_size = opt.weights, opt.epochs, opt.hyp, opt.batch_size
+
     # Config
     plots = not evolve and not opt.noplots  # create plots
     cuda = device.type != 'cpu'

utils/loggers/__init__.py

@@ -107,6 +107,17 @@ def __init__(self, save_dir=None, weights=None, opt=None, hyp=None, logger=None,
         else:
             self.clearml = None
 
+    @property
+    def remote_dataset(self):
+        # Get data_dict if custom dataset artifact link is provided
+        data_dict = None
+        if self.clearml:
+            data_dict = self.clearml.data_dict
+        if self.wandb:
+            data_dict = self.wandb.data_dict
+
+        return data_dict
+
     def on_train_start(self):
         # Callback runs on train start
         pass