You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
my yolov8 code and please guide me remove this error this in file "
%cd {HOME}
!yolo task=detect mode=train model=yolov8n.pt data={dataset.location}/data.yaml epochs=300 imgsz=800 plots=True optimizer=SGD
"
"Transferred 319/355 items from pretrained weights
TensorBoard: Start with 'tensorboard --logdir runs/detect/train4', view at http://localhost:6006/
Freezing layer 'model.22.dfl.conv.weight'
AMP: running Automatic Mixed Precision (AMP) checks with YOLOv8n...
AMP: checks passed ✅
train: Scanning /kaggle/working/datasets/trash-7/train/labels... 15542 images, 1
train: WARNING ⚠️ /kaggle/working/datasets/trash-7/train/images/Image_37-tb_jpg.rf.65960ae2620cd36e8252a1a7a716c532.jpg: 1 duplicate labels removed
train: WARNING ⚠️ /kaggle/working/datasets/trash-7/train/images/Image_37-tb_jpg.rf.e7635cedeae5b2eddd8a59b68ebc3074.jpg: 1 duplicate labels removed
train: WARNING ⚠️ /kaggle/working/datasets/trash-7/train/images/papernotb10_icstone7_jpg.rf.3c09de89f5c4a09067da86124af1164b.jpg: 1 duplicate labels removed
train: WARNING ⚠️ /kaggle/working/datasets/trash-7/train/images/papernotb10_icstone7_jpg.rf.e83017b01af94e1432cddc40c76192c1.jpg: 1 duplicate labels removed
train: New cache created: /kaggle/working/datasets/trash-7/train/labels.cache
/usr/local/lib/python3.10/dist-packages/albumentations/init.py:24: UserWarning: A new version of Albumentations is available: 2.0.4 (you have 1.4.20). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
check_for_updates()
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, num_output_channels=3, method='weighted_average'), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))
val: Scanning /kaggle/working/datasets/trash-7/valid/labels... 934 images, 0 bac
val: New cache created: /kaggle/working/datasets/trash-7/valid/labels.cache
Plotting labels to runs/detect/train4/labels.jpg...
optimizer: SGD(lr=0.01, momentum=0.937) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0005), 63 bias(decay=0.0)
TensorBoard: model graph visualization added ✅
Image sizes 800 train, 800 val
Using 2 dataloader workers
Logging results to runs/detect/train4
Starting training for 300 epochs...
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
1/300 5.16G 0.7431 2.971 1.21 29 800: 1
Class Images Instances Box(P R mAP50 m
all 934 2592 0.368 0.302 0.277 0.19
Traceback (most recent call last):
File "/usr/local/bin/yolo", line 8, in
sys.exit(entrypoint())
File "/usr/local/lib/python3.10/dist-packages/ultralytics/cfg/init.py", line 831, in entrypoint
getattr(model, mode)(**overrides) # default args from model
File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/model.py", line 803, in train
self.trainer.train()
File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 207, in train
self._do_train(world_size)
File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 458, in _do_train
self.run_callbacks("on_fit_epoch_end")
File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 168, in run_callbacks
callback(self)
File "/usr/local/lib/python3.10/dist-packages/ultralytics/utils/callbacks/raytune.py", line 17, in on_fit_epoch_end
if ray.train._internal.session._get_session(): # replacement for deprecated ray.tune.is_session_enabled()
AttributeError: module 'ray.train._internal.session' has no attribute '_get_session'. Did you mean: 'get_session'?
Sentry is attempting to send 1 pending events"
please guide me solve this error problem and isssue i try many different library but cannot resolve this issue
Link
No response
The text was updated successfully, but these errors were encountered:
chbanti
added
docs
An issue or change related to documentation
triage
Needs triage (eg: priority, bug/not-bug, and owning component)
labels
Feb 22, 2025
Description
my yolov8 code and please guide me remove this error this in file "
%cd {HOME}
!yolo task=detect mode=train model=yolov8n.pt data={dataset.location}/data.yaml epochs=300 imgsz=800 plots=True optimizer=SGD⚠️ /kaggle/working/datasets/trash-7/train/images/Image_37-tb_jpg.rf.65960ae2620cd36e8252a1a7a716c532.jpg: 1 duplicate labels removed⚠️ /kaggle/working/datasets/trash-7/train/images/Image_37-tb_jpg.rf.e7635cedeae5b2eddd8a59b68ebc3074.jpg: 1 duplicate labels removed⚠️ /kaggle/working/datasets/trash-7/train/images/papernotb10_icstone7_jpg.rf.3c09de89f5c4a09067da86124af1164b.jpg: 1 duplicate labels removed⚠️ /kaggle/working/datasets/trash-7/train/images/papernotb10_icstone7_jpg.rf.e83017b01af94e1432cddc40c76192c1.jpg: 1 duplicate labels removed
"
"Transferred 319/355 items from pretrained weights
TensorBoard: Start with 'tensorboard --logdir runs/detect/train4', view at http://localhost:6006/
Freezing layer 'model.22.dfl.conv.weight'
AMP: running Automatic Mixed Precision (AMP) checks with YOLOv8n...
AMP: checks passed ✅
train: Scanning /kaggle/working/datasets/trash-7/train/labels... 15542 images, 1
train: WARNING
train: WARNING
train: WARNING
train: WARNING
train: New cache created: /kaggle/working/datasets/trash-7/train/labels.cache
/usr/local/lib/python3.10/dist-packages/albumentations/init.py:24: UserWarning: A new version of Albumentations is available: 2.0.4 (you have 1.4.20). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
check_for_updates()
albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, num_output_channels=3, method='weighted_average'), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))
val: Scanning /kaggle/working/datasets/trash-7/valid/labels... 934 images, 0 bac
val: New cache created: /kaggle/working/datasets/trash-7/valid/labels.cache
Plotting labels to runs/detect/train4/labels.jpg...
optimizer: SGD(lr=0.01, momentum=0.937) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0005), 63 bias(decay=0.0)
TensorBoard: model graph visualization added ✅
Image sizes 800 train, 800 val
Using 2 dataloader workers
Logging results to runs/detect/train4
Starting training for 300 epochs...
Traceback (most recent call last):
File "/usr/local/bin/yolo", line 8, in
sys.exit(entrypoint())
File "/usr/local/lib/python3.10/dist-packages/ultralytics/cfg/init.py", line 831, in entrypoint
getattr(model, mode)(**overrides) # default args from model
File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/model.py", line 803, in train
self.trainer.train()
File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 207, in train
self._do_train(world_size)
File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 458, in _do_train
self.run_callbacks("on_fit_epoch_end")
File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 168, in run_callbacks
callback(self)
File "/usr/local/lib/python3.10/dist-packages/ultralytics/utils/callbacks/raytune.py", line 17, in on_fit_epoch_end
if ray.train._internal.session._get_session(): # replacement for deprecated ray.tune.is_session_enabled()
AttributeError: module 'ray.train._internal.session' has no attribute '_get_session'. Did you mean: 'get_session'?
Sentry is attempting to send 1 pending events"
please guide me solve this error problem and isssue i try many different library but cannot resolve this issue
Link
No response
The text was updated successfully, but these errors were encountered: