Hi folks! I am trying to create a pipeline with ClearML and Ultralytics. While there's already amazing integration among the tools, I found some difficulties...
26 days ago
I deepdive into Ultralytics
code and found that clearML is not logging the expereiment, but rather the model used in checking amp on the machine, specifically def check_amp(model):
create a new model and get tracked, which is not the one for training.
Thanks! I will test it for a bit and see if I can utilized the model
feature in clearml
hmmm it seems that it is not the case. Neverthless, the following code works:
input_model: InputModel = InputModel.import_model(name="test_input", weights_url="model/yolov8n.pt")
task.connect(input_model)
model = YOLO(input_model.get_local_copy())
just fyi i read Model
SDK doc for several time and didn't expect the option is inside Task
. Many Thanks!