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SinDongHwan avatar SinDongHwan commented on August 16, 2024 1

@HuitMahoon
Hi, you should create 'features', 'fps','picks','change_points','n_frame_per_seg' to test your dataset.

  • features : feature of every 15th frames.
  • fps : frame per second.
  • picks : 15
  • change_points : shot(seg) change point( you can get change points using KTS )
  • n_frame_per_seg : number of frames per segment.

refer my repository.

Good Luck!!

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TriLoo avatar TriLoo commented on August 16, 2024

I have a question, the features extracted from resnet is not same as the downloaded .h5 data, so, would the data distribution mismatch between two feature extractor network cause not good results? thanks
@SinDongHwan

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MHGCC avatar MHGCC commented on August 16, 2024

Have you solved this problem now?Or is there a more detailed video preprocessing process to generate HDF5 files?

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SinDongHwan avatar SinDongHwan commented on August 16, 2024

Hi, @TriLoo, @MHGCC.
I had gotten different key points, too. so I've not solved yet.
I think that you will good key points if use a high accuracy model for extracting features.

dear @MHGCC.
if you want to generate a HDF5 file of yours dataset for testing, you can refer my repository.
but you want to make it for training, you will create "scores" or "summary".

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anaghazachariah avatar anaghazachariah commented on August 16, 2024

You can refer my repository.
https://github.com/anaghazachariah/video_summary_generaton

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wangsen-sen avatar wangsen-sen commented on August 16, 2024

Hello, I want to ask when I want to use generate_ dataset. py to generate my own datasets, always appear
“ K = np.dot(video_feat, video_feat.T) #dot是为了获取两个数的乘积
AttributeError: 'NoneType' object has no attribute 'T' ”
What should I do?

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