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38 × Eureka!Yeah, as I have known that, now the CLI looks much more familiar to me.
As for the versionsroot@120eb0cddb60:~# pip list | grep clearml clearml 0.17.5 clearml-agent 0.17.1
The labels are attached for that clone task output model.
I confirmed that worked if it is not started by an agent.
I will set repository url as https and retry.
No, I have checked it on the web frontend, following the model link and the LABELS tab.
Can you run this one -
 ?
Do you get the labels for both local and clearml-agent run?
Okay, I did the example.
For the local run, I got the labels.
For the agent run, I did not get the labels.
Does this task (started by an agent) have some limitation?
Like being disabled to connect labels?
For the agent run, I posted only the following params:
name project script typeto tasks.create endpoint and let an agent to pick it.
Hm, clearml-data looks very much like git.
Um..
and if you clone the local task run and enqueue it to the agent?
It failed.
Saying: Could not read from remote repository.
By the way, we found that when I added labels param and post a tasks.create request, it worked.
Relating to it but another question.
With that task, which is running under an agent, task.connect_label_enumeration does not look working.
We have a web server which accepts various requests and manages database resources.
This web server arranges the request and creates a task on the clearml api server, which is running an internal network.
Is there any example of how to use clearml-data ?
now I am going AFK.
Thanks for your support!
GrumpyPenguin23 Hi, thanks for your instruction!
Putting some metadata into the model sounds nice.
I was exactly wondering how to take care of labels and being afraid of handling them as a dataset even when inferring.
I mean, the output model comes with the labels which is posted.
Yeah, what I have done is uploaded:
https://github.com/kayhide/PyTorch-YOLOv3/tree/clearml
This is a fork of well-known torch yolo sample and adapted to clearml.
Hi AgitatedDove14
Thanks, that is it!
Yeah, I have noticed the --id option.
What I wanted is to automate making dataset from some set of files.
And it requires the dataset id after running clearml-data create ... .
Reading ~/.clearml_data.json looks much better than parsing the command output.
Are you talking about the public demo server?
If so, it says:This server is reset daily at 24:00 PST.