Comments (3)
Regarding the subsets of a dataset, the track ids already exist in this format, or are created using the gen_label modules. Regarding multiple datasets, for example, within the JointDataset class these ids are processed one more time so that the maximum id of the preceding datasets is added to all ids of the following dataset.
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Regarding the subsets of a dataset, the track ids already exist in this format, or are created using the gen_label modules. Regarding multiple datasets, for example, within the JointDataset class these ids are processed one more time so that the maximum id of the preceding datasets is added to all ids of the following dataset.
Could you please point the file and line of the code where maximum id of the preceding datasets is added to all ids of the following dataset? Is it on the fly process or applied on the disk?
from fairmot.
Regarding the subsets of a dataset, the track ids already exist in this format, or are created using the gen_label modules. Regarding multiple datasets, for example, within the JointDataset class these ids are processed one more time so that the maximum id of the preceding datasets is added to all ids of the following dataset.
Could you please point the file and line of the code where maximum id of the preceding datasets is added to all ids of the following dataset? Is it on the fly process or applied on the disk?
It is applied on the fly. See the JointDataset
class (in .\src\lib\datasets\dataset\jde.py) at the beginning of the __getitem__
method (line 426-428):
for i, _ in enumerate(labels):
if labels[i, 1] > -1:
labels[i, 1] += self.tid_start_index[ds]
The self.tid_start_index
attribute gets computed in the __init__
(line 524-527 with tid_num
computed just before that).
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