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new check_dataset functions (#43)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Ayush Chaurasia
2022-11-12 19:32:41 +05:30
committed by GitHub
parent d143ac666f
commit 1f3aad86c1
13 changed files with 336 additions and 62 deletions
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6
ultralytics/yolo/utils/modeling/__init__.py
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@ -118,9 +118,3 @@ def get_model(model='s.pt', pretrained=True):
return torchvision.models.__dict__[model](weights='IMAGENET1K_V1' if pretrained else None)
else: # Ultralytics assets
return torch.load(attempt_download(f"{model}.pt"), map_location='cpu')
def yaml_load(file='data.yaml'):
# Single-line safe yaml loading
with open(file, errors='ignore') as f:
return yaml.safe_load(f)

5
ultralytics/yolo/utils/modeling/autobackend.py
View File

@ -32,7 +32,8 @@ class AutoBackend(nn.Module):
# TensorFlow Lite: *.tflite
# TensorFlow Edge TPU: *_edgetpu.tflite
# PaddlePaddle: *_paddle_model
from ultralytics.yolo.utils.modeling import attempt_load_weights, yaml_load
from ultralytics.yolo.utils.files import yaml_load
from ultralytics.yolo.utils.modeling import attempt_load_weights
super().__init__()
w = str(weights[0] if isinstance(weights, list) else weights)
@ -315,7 +316,7 @@ class AutoBackend(nn.Module):
@staticmethod
def _load_metadata(f=Path('path/to/meta.yaml')):
from ultralytics.yolo.utils.modeling import yaml_load
from ultralytics.yolo.utils.files import yaml_load
# Load metadata from meta.yaml if it exists
if f.exists():