Grouperspotter No data to match against

What Wildbook are you working in? Grouperspotter

What is the entire URL out of the browser, exactly where the error occurred?
https://www.grouperspotter.org/iaResults.jsp?taskId=1e96f356-37f0-4362-8811-d32ebd25b5dd
https://www.grouperspotter.org/encounters/encounter.jsp?number=e18efd66-744d-4de9-92b7-32c021edbab7

Can you describe what the issue is you’re experiencing?
there was an error with task 774f25cd-9289-411b-8418-1fe3800b3039: No data to match against, please refine your matching parameters.

When I hover on the image I see A class:grouper_nassau_bicolor
This is not something that was assigned during the bulk upload metadata. Is this class assigned by the platform? Is the issue that there are no other images that have been classes as bicolor yet?

Can you provide steps on how to reproduce what you’re experiencing?
Go to encounter and click on match results

If this is a bulk import report, send the spreadsheet to services@wildme.org with the email subject line matching your bug report

Hi @accfish

This result happens generally when a matching set is specified against criteria for which there is nothing else to match against.

This is not something that was assigned during the bulk upload metadata. Is this class assigned by the platform?

Yes, machine learning applied this label. grouper_nassau_bicolor is not currently configured for computer vision matching in our configuration file. Only grouper_nassau as a machine learning label should proceed to matching

I see in previous project emails a request to map grouper_nassau_bicolor to grouper_nassau, but I don’t know if subsequent conversations changed this.

Can you please confirm that grouper_nassau_bicolor should be mapped to grouper_nassau and be matchable under that class? If so, I can fix the configuration and update the data.

Thanks,
Jason

1 Like

Hi @jason Yes we would like to have the grouper_nassau_bicolor try to match with grouper_nassau is that what you mean by map?

Hi @accfish

These issues above should now be resolved. All 13 grouper_nassau_bicolor annotations in the database are now matchable. You’ll have to re-run matching to see these new results. The bicolors will be saved as and matched against grouper_nassau for future submissions as well.

Can you please confirm?

Thanks,
Jason
work ticket WB-1892

Ok thanks. I think i misunderstood the process. i thought the bicolor would still be saves as grouper_nassau_bicolor but matched against both bicolor and grouper_nassau. Is that not possible.
If that is not possible is there a benefit to leaving them classed at grouper_nassau_bicolor or is adding a bicolor keyword sufficient?

Hi @accfish

The annotation type (e.g., “grouper_nassau” versus “grouper_nassau_bicolor”) is a strict mechanism we use to ensure we’re not trying to match unlike things, such as different species or different body features (e.g., fin versus fluke).

However, we can intercept the grouper_nassau_bicolor type and label the photo with a keyword of your choice, such as “Bicolor”, before changing it to grouper_nassau if you would like. This would provide the searchability you might be looking for between bicolor and non-bicolor while allowing bicolors and non-bicolors to be matched.

Thanks,
Jason

Hi @jason
If that is an easy thing for you to do that would be great. We would otherwise enter the keyword manual as we checked the encounters.
Thank you,
Alli

@accfish

Can do. I noticed that your Wildbook already has “bicolor”, “Bicolor”, and “bicolor grouper” as keywords. Which one should I set?

Thanks,
Jason

bicolor please. I need to go through and delete all of those extra keywords. We were just testing stuff

Hi @accfish

This should be implemented now. When computer vision detects grouper_nassau_bicolor, it should record a “bicolor” keyword on the image before saving the detection as grouper_nassau for comparability. This applies to new submissions moving forward. Do you have a bicolor image convenient to test this with?

Thanks,
Jason

2 posts were split to a new topic: GrouperSpotter bulk import issue

Hi @BTran

I moved the bulk import to a separate issue. However, do you mind testing this fix with just a single Encounter submission and the bicolor photo?

https://www.grouperspotter.org/submit.jsp

Thanks,
Jason

Hi @jason,

So if I’m understanding right, we just need to upload images of bicolor nassau grouper, and they should automatically be labeled with the “bicolor” keyword on the encounter?

I don’t believe that’s occurring for the recent uploads:
https://www.grouperspotter.org/encounters/encounter.jsp?number=f8a0a779-feba-4076-963c-7c90616ed777

https://www.grouperspotter.org/encounters/encounter.jsp?number=3a33428b-1e11-4e73-aebd-aa893591a538

Thanks,
Bryant

Hi @BTran

OK, I dug into the code, and it looks like the code to add the keyword happens after we change the grouper_nassau_bicolor class to grouper_nassau, so that setting to save the keyword would only happen if we keep the grouper_nassau_bicolor as it was originally. I do think that original solution is worth considering as bicolor is a great visual differentiator that can filter out false positives in matching.

For now though, bicolor is being matched to the non-bicolor fish. The bicolor keyword will need to be manually applied or set in the Encounter.mediaAsset0 (or 1,2,3, etc.) column in the bulk import.

Thanks,
Jason

Thanks @jason We can just add the keyword manually of through the bulk upload.
I will talk to Brice about changing it back to the bicolor class and the benefits of this. We would like to have individuals with both the bicolor image and the other color phases associated with them. is this possible if we keep them in separate classes?

@accfish

Yes, an individual can have annotations of either class in its Encounter history.

Hi @accfish

Just checking here: have all issues been resolved in this thread, or are there more changes needed?

Thanks,
Jason

2 posts were split to a new topic: Manual annotation support needed