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W&B: Fix dataset check #4879

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Merged
merged 10 commits into from
Sep 21, 2021
Merged

W&B: Fix dataset check #4879

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c562fbc
evolve fix
AyushExel Aug 30, 2021
9536bd0
Merge branch 'ultralytics:master' into wandb
AyushExel Aug 30, 2021
12d125f
Merge branch 'ultralytics:master' into wandb
AyushExel Sep 17, 2021
d1369d8
Enable login timeout
AyushExel Sep 17, 2021
bedac13
fix pkg
AyushExel Sep 17, 2021
4387643
check rank
AyushExel Sep 20, 2021
5b2eff8
merge master
AyushExel Sep 20, 2021
be6f8ac
don't relogin
AyushExel Sep 20, 2021
cf81892
fix
AyushExel Sep 21, 2021
bc604b6
reformat
AyushExel Sep 21, 2021
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15 changes: 9 additions & 6 deletions utils/loggers/wandb/wandb_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,8 +5,8 @@
import sys
from contextlib import contextmanager
from pathlib import Path
import pkg_resources as pkg

import pkg_resources as pkg
import yaml
from tqdm import tqdm

Expand All @@ -19,16 +19,17 @@
from utils.datasets import img2label_paths
from utils.general import check_dataset, check_file

RANK = int(os.getenv('RANK', -1))

try:
import wandb

assert hasattr(wandb, '__version__') # verify package import not local dir
if pkg.parse_version(wandb.__version__) >= pkg.parse_version('0.12.2'):
if pkg.parse_version(wandb.__version__) >= pkg.parse_version('0.12.2') and RANK in [0, -1]:
wandb.login(timeout=30)
except (ImportError, AssertionError):
wandb = None

RANK = int(os.getenv('RANK', -1))
WANDB_ARTIFACT_PREFIX = 'wandb-artifact://'


Expand All @@ -48,9 +49,11 @@ def check_wandb_dataset(data_file):
if check_file(data_file) and data_file.endswith('.yaml'):
with open(data_file, errors='ignore') as f:
data_dict = yaml.safe_load(f)
is_wandb_artifact = (data_dict['train'].startswith(WANDB_ARTIFACT_PREFIX) or
data_dict['val'].startswith(WANDB_ARTIFACT_PREFIX))
if is_wandb_artifact:
is_trainset_wandb_artifact = (isinstance(data_dict['train'], str) and
data_dict['train'].startswith(WANDB_ARTIFACT_PREFIX))
is_valset_wandb_artifact = (isinstance(data_dict['val'], str) and
data_dict['val'].startswith(WANDB_ARTIFACT_PREFIX))
if is_trainset_wandb_artifact or is_valset_wandb_artifact:
return data_dict
else:
return check_dataset(data_file)
Expand Down