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DDD17 data format #9

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ShristiDasBiswas opened this issue May 23, 2023 · 2 comments
Open

DDD17 data format #9

ShristiDasBiswas opened this issue May 23, 2023 · 2 comments

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@ShristiDasBiswas
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Hi,

The paper says that with DDD17, each input comprises 20 voxel grids with 32000 events each.

  1. What does nr_bins_per_data=5 in the code mean with respect to the above statement?

  2. The print(events.shape) obtained from train_load_sensor is (batch_size, nr_eventsnr_bins_per_data, w, h). So, the paper uses nrevents*nr_bins_per_data number of event frame inputs with only 1 corresponding label for all of them?

@jinglinglingling
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Hi,

The paper says that with DDD17, each input comprises 20 voxel grids with 32000 events each.

  1. What does nr_bins_per_data=5 in the code mean with respect to the above statement?
  2. The print(events.shape) obtained from train_load_sensor is (batch_size, nr_events_nr_bins_per_data, w, h). So, the paper uses nr_events*nr_bins_per_data number of event frame inputs with only 1 corresponding label for all of them?

Hello, I have the same question, have you solved it

@jinglinglingling
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Hi,

The paper says that with DDD17, each input comprises 20 voxel grids with 32000 events each.

  1. What does nr_bins_per_data=5 in the code mean with respect to the above statement?
  2. The print(events.shape) obtained from train_load_sensor is (batch_size, nr_events_nr_bins_per_data, w, h). So, the paper uses nr_events*nr_bins_per_data number of event frame inputs with only 1 corresponding label for all of them?

Hi there,
Do you have the ddd17 dataset on the Ev-segnet github page? Because the page for their dataset is no longer accessible

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