
Reputation
Badges 1
38 × Eureka!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 will set repository url as https and retry.
Are you talking about the public demo server?
If so, it says:This server is reset daily at 24:00 PST.
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.
I tried clearml.model.InputModel
and successfully downloaded a model.
Is this an expected way to consume a trained model for inference?
But maybe we should have a cmd line that just outputs the current datasetid, this means it will be easier to grab and pipe
That sounds good.
It definitely helps!
Maybe I should have clone the repo with https instead of ssh.
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.
As for the versionsroot@120eb0cddb60:~# pip list | grep clearml clearml 0.17.5 clearml-agent 0.17.1
Is there any example of how to use clearml-data
?
Hi JitteryCoyote63 ,
Oh, you have somethings, Nice!
I will look into that document, thanks!
Is it handling data just in a form of regular files?
Yeah, as I have known that, now the CLI looks much more familiar to me.
Um..
and if you clone the local task run and enqueue it to the agent?
It failed.
Saying: Could not read from remote repository.
I mean, the output model comes with the labels which is posted.
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.
No, I have checked it on the web frontend, following the model link and the LABELS tab.
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.
The labels are attached for that clone task output model.