So I see two options:
Reducing the number of image reported (already in our plan) Make on big image per epoch

Pretty good job. I'll try to use it as soon as possible.

Well, I use ignite and trains-server with a logging similar to ignite.contrib.handlers so I will be very happy to test this integration.

It is in lexicographical ordering as you said.

Oh right click! Nice, I don't even right click on web page usually, that pretty nice. Thanks.

Ok thanks

Thanks!

I have made some changes in the code
logger.clearml_logger.report_image( self.tag, f"{self.tag}_{epoch:0{pad}d}", iteration=iteration, image=image ) `` epoch range is 0-150 iteration range is 0-100And the error is still there
` General data error (TransportError(503, 'search_phase_execution_exception', 'Trying to create too many buckets. Must be less than or equal to: [10000] but was [10001]. This limit can be set by changing the [search.max_buckets] clus...

I call it like that:
logger.clearml_logger.report_image( self.tag, f"{self.tag}_{iteration:0{pad}d}", epoch, image=image ) `` self.tag is train or valid . iteration is an int for the minibatch in the epoch

I'll try to make a code that reproduce this behavior and post it on github is it fine ? that way you could check if I'm the problem (which is really likely) 😛

ok I'll go check

I'm in a process to setup a trains stack for my projects and so far it work great thank for this awesome work.

Any reason for / to not work?

now that I know I could use the right click I'll use it like in google drive etc.

Maybe just adding the use case in the document or elsewhere like video idk could be useful.

Issue open on the clearml-server github https://github.com/allegroai/clearml-server/issues/89 . Thanks for your help.

Is it somewhere in the documentation ?

I'll give a try with the virtualenv solution. If I have any question I'll ask in this thread. Thanks a lot.

I tried to removes all the images and content from docker with docker-compose down and docker rmi , also remove all the content in each directory of /opt/trains/ created by the containers, do you have any idea why this happens?

Yes this will work I think.

Is it better on clearml or clearml-server ?

I have 6 plots with one or 2 metrics. But I have a lot of debug samples.

🙇

AgitatedDove14 This is what I expected for the community version. It would really nice to have a read-only link. My use case is when I have a merge request for a model modification I need to provide several informations for our Quality Management System one is to show that the experiment is a success and the model has some improvement over the previous iteration. Obviously I don't want the reviewer to see all my failed experiments 😉 . So yes it should be really nice to have read-only ...

Something like 100 epoch with a least more than 100 images par epoch reported.

Thansk for the ouput_uri can I put in the ~/trains.conf file ?

Even simpler than a github, this code reproduce the issues I have.

Wow, that really nice. I did almost the same code, TrainsLogger , TrainsSaver , and all the OutputHandler . I'll use your version instead and put any comment if I find something.

I made the experiment on the allegroai demo server and it's the same https://demoapp.trains.allegro.ai/projects/fcf3f3fb1013434eb2001870990e5e94/experiments/6ed32a2b5a094f2da47e6967bba1ebd0/output/debugImages . I really think it's a technical limitation to not display all the image am I right ?