New ASSETS and trackers GMC cleanup (#4425)

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

ultralytics/models/yolo/segment/predict.py

@@ -4,7 +4,7 @@ import torch
 
 from ultralytics.engine.results import Results
 from ultralytics.models.yolo.detect.predict import DetectionPredictor
-from ultralytics.utils import DEFAULT_CFG, ROOT, ops
+from ultralytics.utils import ASSETS, DEFAULT_CFG, ops
 
 
 class SegmentationPredictor(DetectionPredictor):
@@ -47,8 +47,7 @@ class SegmentationPredictor(DetectionPredictor):
 def predict(cfg=DEFAULT_CFG, use_python=False):
     """Runs YOLO object detection on an image or video source."""
     model = cfg.model or 'yolov8n-seg.pt'
-    source = cfg.source if cfg.source is not None else ROOT / 'assets' if (ROOT / 'assets').exists() \
-        else 'https://ultralytics.com/images/bus.jpg'
+    source = cfg.source or ASSETS
 
     args = dict(model=model, source=source)
     if use_python:

ultralytics/models/yolo/segment/train.py

@@ -49,7 +49,7 @@ class SegmentationTrainer(yolo.detect.DetectionTrainer):
 def train(cfg=DEFAULT_CFG, use_python=False):
     """Train a YOLO segmentation model based on passed arguments."""
     model = cfg.model or 'yolov8n-seg.pt'
-    data = cfg.data or 'coco128-seg.yaml'  # or yolo.ClassificationDataset("mnist")
+    data = cfg.data or 'coco8-seg.yaml'
     device = cfg.device if cfg.device is not None else ''
 
     args = dict(model=model, data=data, device=device)

ultralytics/models/yolo/segment/val.py

@@ -236,7 +236,7 @@ class SegmentationValidator(DetectionValidator):
 def val(cfg=DEFAULT_CFG, use_python=False):
     """Validate trained YOLO model on validation data."""
     model = cfg.model or 'yolov8n-seg.pt'
-    data = cfg.data or 'coco128-seg.yaml'
+    data = cfg.data or 'coco8-seg.yaml'
 
     args = dict(model=model, data=data)
     if use_python: