about submission about actionformer_release HOT 14 CLOSED

I am not sure I understand you question here. If you are talking about the external scores, they are from an action recognition model and not necessary for most of the datasets.

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I am not sure I understand you question here. If you are talking about the external scores, they are from an action recognition model and not necessary for most of the datasets.

I mean when you run on the test dataset？when I run on test dataset ，I got the value of ‘output[vid_idx]['segments'][:, 0]’ is [-1., -1., -1., ..., -1., -1., -1.]，I didn't know why? could you give me some advices？thx！！！！！

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To run on your own test set with unlabeled videos, you will need to

• extract video features the same way as the training set
• create a json file following the AcitivtyNet format with each annotation as an empty list
• copy the configfile used for training, and modify the fields "json_file" / " feat_folder" to point to the new json file and video features
• if "external_score_file" was specified in the original config, remove the filed and set "multiclass_nms" to True (disable the use of external classification scores)
• modify the eval.py to save the results into your desired format.

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• multiclass_nms
  thx very much。
  sorry to bother you, how do i get the segment，Because both nouns and verbs have this parameter predicted，thx
  

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The segment means the real action starting and ending time (in seconds).

You may want to refer to the https://github.com/happyharrycn/actionformer_release/blob/main/libs/modeling/meta_archs.py#L643 for more details about how we convert the raw model outputs into final predictions.

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The segment means the real action starting and ending time (in seconds).

You may want to refer to the https://github.com/happyharrycn/actionformer_release/blob/main/libs/modeling/meta_archs.py#L643 for more details about how we convert the raw model outputs into final predictions.

I mean to submit the results in this web，https://codalab.lisn.upsaclay.fr/，Nouns and verbs submitted separately？

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You may need to refer to the specfic submission format for details. I think they should be submitted separately.

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You may need to refer to the specfic submission format for details. I think they should be submitted separately.

I can't open this URL about the specfic submission formats，could you？

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I think you may need to email the competition organizer to report this issue.

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If you are looking for combining noun and verb predictions, you might want to check the discussion in issue #7. If you have questions for EPIC-Kitchens data format, please contact the competition organizer.

from actionformer_release.

If you are looking for combining noun and verb predictions, you might want to check the discussion in issue #7. If you have questions for EPIC-Kitchens data format, please contact the competition organizer.

I am so confused ，both nouns and verbs predict segment time, how do I combine them to generate actions？

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For this part, you can have various choices to fuse these results.

For example, you can get the noun/verb predictions for the same point, then take the noun or verb segment predictions as the final segment for this point, or you can simply take the average of these two segments. You may need to modify the code a little bit.

We may update this part shortly.

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thxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx ! amazing！

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Mark as resolved.

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