Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Unanswered
Hi!


Hi @<1856869648880898048:profile|CourageousFly32> ,

Is it possible to run an entire docker container from a predefined docker image as a ClearML task (so that it's added to the queue like any other task)?

Yes. You can use the --docker flag in clearml-agent to make it run in agent mode - None

Or is it possible to train remotely using hooks in my MMDetection pipeline?

Can you elaborate?

Any other suggestion or possibilities? Best practices? I have very limited experience with Docker, ClearML and OpenMMLab. Thanks in advance!

I would suggest getting familiarized with Docker concepts and OpenMMLab first. ClearML adds capabilities on top and allows you to manipulate them better.

  
  
Posted one month ago
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one month ago
one month ago