DDP, Comet, URLError fixes, improved error handling (#658)

Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Tungway1990 <68179274+Tungway1990@users.noreply.github.com>

ultralytics/yolo/v8/classify/predict.py

@@ -69,7 +69,7 @@ def predict(cfg=DEFAULT_CFG, use_python=False):
     source = cfg.source if cfg.source is not None else ROOT / "assets" if (ROOT / "assets").exists() \
         else "https://ultralytics.com/images/bus.jpg"
 
-    args = dict(model=model, source=source, verbose=True)
+    args = dict(model=model, source=source)
     if use_python:
         from ultralytics import YOLO
         YOLO(model)(**args)

ultralytics/yolo/v8/classify/train.py

@@ -141,7 +141,7 @@ def train(cfg=DEFAULT_CFG, use_python=False):
     data = cfg.data or "mnist160"  # or yolo.ClassificationDataset("mnist")
     device = cfg.device if cfg.device is not None else ''
 
-    args = dict(model=model, data=data, device=device, verbose=True)
+    args = dict(model=model, data=data, device=device)
     if use_python:
         from ultralytics import YOLO
         YOLO(model).train(**args)

ultralytics/yolo/v8/classify/val.py

@@ -50,7 +50,7 @@ def val(cfg=DEFAULT_CFG, use_python=False):
     model = cfg.model or "yolov8n-cls.pt"  # or "resnet18"
     data = cfg.data or "mnist160"
 
-    args = dict(model=model, data=data, verbose=True)
+    args = dict(model=model, data=data)
     if use_python:
         from ultralytics import YOLO
         YOLO(model).val(**args)