xclele/yolov10
1
0
Fork 0
mirror of https://github.com/THU-MIG/yolov10.git synced 2025-05-23 21:44:22 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

Pass callbacks to validator (#7320)

Browse Source 
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Thomas de Lange 2024-01-05 09:08:17 +00:00 committed by GitHub
parent 072291bc78
commit 2f9ec8c0b4
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 13 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
ultralytics/models/yolo/classify/train.py
View File

@ -110,7 +110,7 @@ class ClassificationTrainer(BaseTrainer):
def get_validator(self): def get_validator(self):
"""Returns an instance of ClassificationValidator for validation.""" """Returns an instance of ClassificationValidator for validation."""
self.loss_names = ['loss'] self.loss_names = ['loss']
return yolo.classify.ClassificationValidator(self.test_loader, self.save_dir) return yolo.classify.ClassificationValidator(self.test_loader, self.save_dir, _callbacks=self.callbacks)
def label_loss_items(self, loss_items=None, prefix='train'): def label_loss_items(self, loss_items=None, prefix='train'):
""" """

5
ultralytics/models/yolo/detect/train.py
View File

@ -89,7 +89,10 @@ class DetectionTrainer(BaseTrainer):
def get_validator(self): def get_validator(self):
"""Returns a DetectionValidator for YOLO model validation.""" """Returns a DetectionValidator for YOLO model validation."""
self.loss_names = 'box_loss', 'cls_loss', 'dfl_loss' self.loss_names = 'box_loss', 'cls_loss', 'dfl_loss'
return yolo.detect.DetectionValidator(self.test_loader, save_dir=self.save_dir, args=copy(self.args)) return yolo.detect.DetectionValidator(self.test_loader,
save_dir=self.save_dir,
args=copy(self.args),
_callbacks=self.callbacks)
def label_loss_items(self, loss_items=None, prefix='train'): def label_loss_items(self, loss_items=None, prefix='train'):
""" """

5
ultralytics/models/yolo/pose/train.py
View File

@ -49,7 +49,10 @@ class PoseTrainer(yolo.detect.DetectionTrainer):
def get_validator(self): def get_validator(self):
"""Returns an instance of the PoseValidator class for validation.""" """Returns an instance of the PoseValidator class for validation."""
self.loss_names = 'box_loss', 'pose_loss', 'kobj_loss', 'cls_loss', 'dfl_loss' self.loss_names = 'box_loss', 'pose_loss', 'kobj_loss', 'cls_loss', 'dfl_loss'
return yolo.pose.PoseValidator(self.test_loader, save_dir=self.save_dir, args=copy(self.args)) return yolo.pose.PoseValidator(self.test_loader,
save_dir=self.save_dir,
args=copy(self.args),
_callbacks=self.callbacks)
def plot_training_samples(self, batch, ni): def plot_training_samples(self, batch, ni):
"""Plot a batch of training samples with annotated class labels, bounding boxes, and keypoints.""" """Plot a batch of training samples with annotated class labels, bounding boxes, and keypoints."""

5
ultralytics/models/yolo/segment/train.py
View File

@ -40,7 +40,10 @@ class SegmentationTrainer(yolo.detect.DetectionTrainer):
def get_validator(self): def get_validator(self):
"""Return an instance of SegmentationValidator for validation of YOLO model.""" """Return an instance of SegmentationValidator for validation of YOLO model."""
self.loss_names = 'box_loss', 'seg_loss', 'cls_loss', 'dfl_loss' self.loss_names = 'box_loss', 'seg_loss', 'cls_loss', 'dfl_loss'
return yolo.segment.SegmentationValidator(self.test_loader, save_dir=self.save_dir, args=copy(self.args)) return yolo.segment.SegmentationValidator(self.test_loader,
save_dir=self.save_dir,
args=copy(self.args),
_callbacks=self.callbacks)
def plot_training_samples(self, batch, ni): def plot_training_samples(self, batch, ni):
"""Creates a plot of training sample images with labels and box coordinates.""" """Creates a plot of training sample images with labels and box coordinates."""