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I am trying to understand how the object_detection API deals with the training TF-records.
As you know, TF-records can be provided specifying as many input_path items as wanted in the train_input_reader section of the pipeline.config file.
My question is: in which order are the TF-records used in the training, are they shuffled? I understand the images inside each TF-record are shuffled, aren't they? But are the images of different TF-records from different folders included on a same batch?
I am afraid that on each batch there are only images of one continent (as it is how the folders containing my TF-records are organized, i.e. Asia, America, Europe...).
Best regards,
Rubén.
The text was updated successfully, but these errors were encountered:
Hi,
I am trying to understand how the object_detection API deals with the training TF-records.
As you know, TF-records can be provided specifying as many input_path items as wanted in the train_input_reader section of the pipeline.config file.
For example:
My question is: in which order are the TF-records used in the training, are they shuffled? I understand the images inside each TF-record are shuffled, aren't they? But are the images of different TF-records from different folders included on a same batch?
I am afraid that on each batch there are only images of one continent (as it is how the folders containing my TF-records are organized, i.e. Asia, America, Europe...).
Best regards,
Rubén.
The text was updated successfully, but these errors were encountered: