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The paper says that with DDD17, each input comprises 20 voxel grids with 32000 events each.
What does nr_bins_per_data=5 in the code mean with respect to the above statement?
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?
The text was updated successfully, but these errors were encountered:
The paper says that with DDD17, each input comprises 20 voxel grids with 32000 events each.
What does nr_bins_per_data=5 in the code mean with respect to the above statement?
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
The paper says that with DDD17, each input comprises 20 voxel grids with 32000 events each.
What does nr_bins_per_data=5 in the code mean with respect to the above statement?
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
Hi,
The paper says that with DDD17, each input comprises 20 voxel grids with 32000 events each.
What does nr_bins_per_data=5 in the code mean with respect to the above statement?
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?
The text was updated successfully, but these errors were encountered: