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ultralytics 8.0.149 add Open Images V7 training (#4178)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: AdiEcho <30563671+AdiEcho@users.noreply.github.com>
This commit is contained in:
Glenn Jocher
2023-08-07 01:19:51 +02:00
committed by GitHub
parent c751c7f88a
commit 7565210484
110 changed files with 969 additions and 144 deletions
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9
ultralytics/nn/tasks.py
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@ -161,6 +161,7 @@ class BaseModel(nn.Module):
Prints model information
Args:
detailed (bool): if True, prints out detailed information about the model. Defaults to False
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
"""
@ -168,11 +169,10 @@ class BaseModel(nn.Module):
def _apply(self, fn):
"""
`_apply()` is a function that applies a function to all the tensors in the model that are not
parameters or registered buffers
Applies a function to all the tensors in the model that are not parameters or registered buffers.
Args:
fn: the function to apply to the model
fn (function): the function to apply to the model
Returns:
A model that is a Detect() object.
@ -186,7 +186,8 @@ class BaseModel(nn.Module):
return self
def load(self, weights, verbose=True):
"""Load the weights into the model.
"""
Load the weights into the model.
Args:
weights (dict | torch.nn.Module): The pre-trained weights to be loaded.