Hello, I am training a re_identification_net model using Tao V5.2.0. But I have a dataset of 11 cameras. When I train the model using the notebook reidentificationnet_resnet.ipynb the model never sees images with names like 0001_c10s1_000004.jpg or 0001_c11s1_000113.jpg I think due to the use of the pattern re. compile(r'([-d]+)_c(\d)'), which only expects a one-digit pattern after the letter ‘c’. Is there a parameter I can modify so that the training inside the container accepts more than 10 cameras?
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