🐛 Bug A few weeks ago, a refactoring of logger imports changed the ordering of imports for the CometLogger. However, comet requires for comet_ml to be imported before some other dependencies, i.e. torch and tensorboard, to work properly...
line 940 in exec_module File "<frozen importlib._bootstrap>", line 690 in _load_unlocked File "<frozen importlib._bootstrap>", line 1149 in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 1178 in _find_and_load File "/home/lothiraldan/project/cometml/comet-examples...
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLO 🚀 in ClearML Comet: run 'pip install comet_ml' to automatically track and visualize YOLO 🚀 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/...
The URL of the Amazon Simple Storage Service (Amazon S3) bucket where you’ve stored the training data. The compute resources that you want Amazon SageMaker to use for model training. Compute resources are ML compute instances that are managed by Amazon SageMaker. The U...
Comet: run 'pip install comet_ml' to automatically track and visualize YOLO 🚀 runs in Comet TensorBoard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/ from n params module arguments 0 -1 1 0 models.common.Silence [] ...
20 # Integrations: this needs to come before other ml imports 21 # in order to allow any 3rd-party code to initialize properly ---> 22 from .integrations import ( # isort:skip 23 is_comet_available, 24 is_optuna_available, /opt/anaconda3/envs/py38/lib/python3.8/site-packages/transform...