If I right click and do copy image address - I get:
http://10.156.91.102:8081/semantics_net%252Ftraining/db_lms_preds_as_inputtest.86df109a78e94a21ae000bdd4e4cae97/metrics/Images/binary%20preds/Images_binary%20preds_00000041.jpeg?X-Amz-Date=1634799860337

I

Whenever I restart the task, I can see images for a while, then after few iteration, I can't anymore

CostlyOstrich36
When I just started seeing this issue I could see images from previous iteration. Now some time passed and in the viewer I can't go back to the very first iterations.

not working: http://10.156.91.102:8081/semantics_net%2Ftraining/db_lms_preds_as_inputtest.86df109a78e94a21ae000bdd4e4cae97/metrics/Images/binary%20preds/Images_binary%20preds_00000070.jpeg

I have a local server not reachable from the internet.

CostlyOstrich36

The project name is:
"semantics_net/training"

CostlyOstrich36 , The issue does come back, after I kill, restart, and wait a few cycles.
Any luck to reproduce it?

SuccessfulKoala55 No logs from clearml in the console, anywhere else I can look?

I'll take a look

at some point the button of "Older Images" become grey

I killed and restarted the task (it created a new task, with same name, but different id) - and now I can see images again

AgitatedDove14 Thanks again.
I'm not using a clearml-agent as far as I know (I just run task.init(...) on the AWS machine.
Is there a way to connect to the task without initiating a new one without overriding the execution?

Thanks 🙏

tf.summary.image('binary preds', plt_c1, max_outputs=5, step=self.get_step(),
description="Left to right: inputs | sigmoid prediction | labels (blue label, white ignore)") `plt_c1 is a tf tensor .

working:
http://10.156.91.102:8080/projects/a5f62c76468a4a4c8a6cd4d8e88203e1/experiments/86df109a78e94a21ae000bdd4e4cae97/info-output/debugImages?columns=selected&columns=type&columns=name&columns=tags&columns=status&columns=project.name&columns=users&columns=started&columns=last_update&columns=last_iteration&columns=parent.name&order=-last_update

ok CostlyOstrich36 , SuccessfulKoala55 :
The links differ in the very beginning -
semantics_net%252Ftrainingbecomes:
semantics_net%2FtrainingWhen I change it, I can see the image.

We need the automagic... 🙂
This is one of the great benefits of using clearml 🙂

Regarding the scalar visualization - If you have other solution, it will be nice to try

CostlyOstrich36 Page Not Found

Not Found The requested URL was not found on the server. If you entered the URL manually please check your spelling and try again.

Thanks for the quick reply,
I have a task I run, that have access to the git repo.
Then it initiate a run on aws, which I want it to use the same task-id.
I tried:
reuse_last_task_id=a_task_id_stringBut it write-over the execution tab in the gui

My question was is can I see the ~/clearml.conf in the web view. If I run two experiments with different config, where can I see it? It is less important now, I didn't see any changes since it didn't get to the test phase yet.

AgitatedDove14 Regarding the agent - No particular reason. Can you point me on how to do it?

CostlyOstrich36 It splits the data not in the way I intended.
It have the 4 metrics of train in the same graph,
and the 4 metrics of test in the same graph.

Can I see the clearml.conf in the server view?
I think I changed it in the right place, but I don't see it in the graph.

Run them manually, but it is not that important

CostlyOstrich36 - I don't want to change the TB behavior.
How can I check what is the "title" I guess I have multiple "/" separating "tf.name_scope", "metric.name", and something like summary_name.
TB knows to put all graphs from the same scope in the same section, in that section it has a graph for each "metric.name", and in the graph it have a series for each summary_name.

I guess I can change the scope name to be the metric name, and abandon all the scoping. But it is very useful to me t...