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ultralytics 8.0.239 Ultralytics Actions and hub-sdk adoption (#7431)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com>
Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>
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Glenn Jocher 2024-01-10 03:16:08 +01:00 • committed by GitHub
parent e795277391
commit fe27db2f6e
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17
ultralytics/models/nas/model.py
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@ -44,20 +44,21 @@ class NAS(Model):
YOLO-NAS models only support pre-trained models. Do not provide YAML configuration files.
"""
def __init__(self, model='yolo_nas_s.pt') -> None:
def __init__(self, model="yolo_nas_s.pt") -> None:
"""Initializes the NAS model with the provided or default 'yolo_nas_s.pt' model."""
assert Path(model).suffix not in ('.yaml', '.yml'), 'YOLO-NAS models only support pre-trained models.'
super().__init__(model, task='detect')
assert Path(model).suffix not in (".yaml", ".yml"), "YOLO-NAS models only support pre-trained models."
super().__init__(model, task="detect")
@smart_inference_mode()
def _load(self, weights: str, task: str):
"""Loads an existing NAS model weights or creates a new NAS model with pretrained weights if not provided."""
import super_gradients
suffix = Path(weights).suffix
if suffix == '.pt':
if suffix == ".pt":
self.model = torch.load(weights)
elif suffix == '':
self.model = super_gradients.training.models.get(weights, pretrained_weights='coco')
elif suffix == "":
self.model = super_gradients.training.models.get(weights, pretrained_weights="coco")
# Standardize model
self.model.fuse = lambda verbose=True: self.model
self.model.stride = torch.tensor([32])
@ -65,7 +66,7 @@ class NAS(Model):
self.model.is_fused = lambda: False # for info()
self.model.yaml = {} # for info()
self.model.pt_path = weights # for export()
self.model.task = 'detect' # for export()
self.model.task = "detect" # for export()
def info(self, detailed=False, verbose=True):
"""
@ -80,4 +81,4 @@ class NAS(Model):
@property
def task_map(self):
"""Returns a dictionary mapping tasks to respective predictor and validator classes."""
return {'detect': {'predictor': NASPredictor, 'validator': NASValidator}}
return {"detect": {"predictor": NASPredictor, "validator": NASValidator}}