Import DEFAULT_CONFIG from utils/__init__.py (#115)

ultralytics/yolo/v8/classify/predict.py

@@ -2,7 +2,7 @@ import hydra
 import torch
 
 from ultralytics.yolo.engine.predictor import BasePredictor
-from ultralytics.yolo.engine.trainer import DEFAULT_CONFIG
+from ultralytics.yolo.utils import DEFAULT_CONFIG
 from ultralytics.yolo.utils.plotting import Annotator
 
 

ultralytics/yolo/v8/classify/val.py

@@ -2,8 +2,8 @@ import hydra
 import torch
 
 from ultralytics.yolo.data import build_classification_dataloader
-from ultralytics.yolo.engine.trainer import DEFAULT_CONFIG
 from ultralytics.yolo.engine.validator import BaseValidator
+from ultralytics.yolo.utils import DEFAULT_CONFIG
 
 
 class ClassificationValidator(BaseValidator):

ultralytics/yolo/v8/detect/predict.py

@@ -2,8 +2,7 @@ import hydra
 import torch
 
 from ultralytics.yolo.engine.predictor import BasePredictor
-from ultralytics.yolo.engine.trainer import DEFAULT_CONFIG
-from ultralytics.yolo.utils import ops
+from ultralytics.yolo.utils import DEFAULT_CONFIG, ops
 from ultralytics.yolo.utils.plotting import Annotator, colors, save_one_box
 
 

ultralytics/yolo/v8/detect/val.py

@@ -7,9 +7,8 @@ import torch
 
 from ultralytics.yolo.data import build_dataloader
 from ultralytics.yolo.data.dataloaders.v5loader import create_dataloader
-from ultralytics.yolo.engine.trainer import DEFAULT_CONFIG
 from ultralytics.yolo.engine.validator import BaseValidator
-from ultralytics.yolo.utils import colorstr, ops
+from ultralytics.yolo.utils import DEFAULT_CONFIG, colorstr, ops
 from ultralytics.yolo.utils.checks import check_file, check_requirements
 from ultralytics.yolo.utils.files import yaml_load
 from ultralytics.yolo.utils.metrics import ConfusionMatrix, DetMetrics, box_iou

ultralytics/yolo/v8/segment/predict.py

@@ -1,8 +1,7 @@
 import hydra
 import torch
 
-from ultralytics.yolo.engine.trainer import DEFAULT_CONFIG
-from ultralytics.yolo.utils import ops
+from ultralytics.yolo.utils import DEFAULT_CONFIG, ops
 from ultralytics.yolo.utils.plotting import colors, save_one_box
 
 from ..detect.predict import DetectionPredictor

ultralytics/yolo/v8/segment/train.py

@@ -5,7 +5,7 @@ import torch.nn.functional as F
 
 from ultralytics.nn.tasks import SegmentationModel
 from ultralytics.yolo import v8
-from ultralytics.yolo.engine.trainer import DEFAULT_CONFIG
+from ultralytics.yolo.utils import DEFAULT_CONFIG
 from ultralytics.yolo.utils.loss import BboxLoss
 from ultralytics.yolo.utils.ops import crop_mask, xywh2xyxy, xyxy2xywh
 from ultralytics.yolo.utils.plotting import plot_images, plot_results

ultralytics/yolo/v8/segment/val.py

@@ -5,8 +5,7 @@ import numpy as np
 import torch
 import torch.nn.functional as F
 
-from ultralytics.yolo.engine.trainer import DEFAULT_CONFIG
-from ultralytics.yolo.utils import ops
+from ultralytics.yolo.utils import DEFAULT_CONFIG, ops
 from ultralytics.yolo.utils.metrics import ConfusionMatrix, SegmentMetrics, box_iou, mask_iou
 from ultralytics.yolo.utils.plotting import output_to_target, plot_images