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ultralytics 8.0.100 add Mosaic9() augmentation (#2605)

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Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: Tommy in Tongji <36354458+TommyZihao@users.noreply.github.com>
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Co-authored-by: xbkaishui <xxkaishui@gmail.com>
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Glenn Jocher 2023-05-14 20:43:35 +02:00 • committed by GitHub
parent db1c5885d5
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23 changed files with 351 additions and 64 deletions
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ultralytics/nn/tasks.py
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@ -126,7 +126,7 @@ class BaseModel(nn.Module):
bn = tuple(v for k, v in nn.__dict__.items() if 'Norm' in k) # normalization layers, i.e. BatchNorm2d()
return sum(isinstance(v, bn) for v in self.modules()) < thresh # True if < 'thresh' BatchNorm layers in model
def info(self, verbose=True, imgsz=640):
def info(self, detailed=False, verbose=True, imgsz=640):
"""
Prints model information
@ -134,7 +134,7 @@ class BaseModel(nn.Module):
verbose (bool): if True, prints out the model information. Defaults to False
imgsz (int): the size of the image that the model will be trained on. Defaults to 640
"""
model_info(self, verbose=verbose, imgsz=imgsz)
return model_info(self, detailed=detailed, verbose=verbose, imgsz=imgsz)
def _apply(self, fn):
"""