HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Fix untrained warning when training from yaml (#18168)

Browse source 
Signed-off-by: Mohammed Yasin <32206511+Y-T-G@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Mohammed Yasin 2024-12-12 04:06:06 +08:00 • committed by GitHub
parent 4cef9d047e
commit 8535d36885
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 1 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

2
ultralytics/engine/validator.py
View file

@ -120,7 +120,7 @@ class BaseValidator:
self.args.plots &= trainer.stopper.possible_stop or (trainer.epoch == trainer.epochs - 1) self.args.plots &= trainer.stopper.possible_stop or (trainer.epoch == trainer.epochs - 1)
model.eval() model.eval()
else: else:
if str(self.args.model).endswith(".yaml"): if str(self.args.model).endswith(".yaml") and model is None:
LOGGER.warning("WARNING ⚠️ validating an untrained model YAML will result in 0 mAP.") LOGGER.warning("WARNING ⚠️ validating an untrained model YAML will result in 0 mAP.")
callbacks.add_integration_callbacks(self) callbacks.add_integration_callbacks(self)
model = AutoBackend( model = AutoBackend(