#image-matching-challenge-2024

1 messages · Page 1 of 1 (latest)

solar lodge
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Cannot submit
Your Notebook uses non-versioned datasets [/datasets/oldufo/imc2024-packages-lightglue-rerun-kornia] (see Dataset Settings).

How to solve this issue..

exotic lion
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@solar lodge This should be fixed now

solar lodge
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Thank u. I download the dataset and upload, then solved lol

stoic coyote
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Hi, I'm running into a strange problem with my submissions. The notebooks run fine and generate the submission.csv with the correct fields and values (compared to a successful earlier submission I've done), but it says Failed: Notebook Threw Exception. When I open the run I can see all cells ran without any exceptions and the output was successfully generated. I looked at the logs and couldn't see any exceptions either and it even says: "Successfully ran in ...". Can someone help me with what might be the issue?

dry wyvern
stoic coyote
dry wyvern
stoic coyote
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I haven't tried the example submissions as is, I created one from scrach and the other one was a copy of the imc-2024-submission-example (this one works the one from scratch doesn't)

dry wyvern
stoic coyote
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I guess all submission notebooks must be copied from the example submission, so you will just have to enter again any input you have and copy the code cell by cell. I'm going to try this and update you if it works.

dry wyvern
stoic coyote
dry wyvern
stoic coyote
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My best guess, depending on how much time evaluation takes, is that when they rerun it, they do so on CPU, so your code should be CPU compliant.

rapid plaza
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I've tried to find it but haven't succeeded -- is there a notebook anywhere that has the evaluation code? Like takes my R and t and computes the leaderboard score?

rapid plaza
tawny fulcrum
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Hello! I started on kaggle with image-matching-challenge today. Is it normal that submission on GPU which took 7 minutes and 8 seconds. After submitting it it runs for 50 minutes already

west leaf
jagged spruce
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Hi everyone, may I ask how to leverage the training data? Cause I find all notebooks available simply used existing models, not giving a glance at the training data.