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in the logged losses we have a loss called roi_head/num_bg_samples I am wondering if it represents the number of background samples per image or per batch
because I am doubting that MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE sets the number of samples for a batch and not a image
example
I set
cfg.MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE = 10
cfg.SOLVER.IMS_PER_BATCH = 32
then on tensorboard
if we agree that these values are logged every batch, then
as you can see if we sum num_bg_samples and num_fg_samples , we will find the a value equal to ROI_HEADS.BATCH_SIZE_PER_IMAGE
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in the logged losses we have a loss called roi_head/num_bg_samples I am wondering if it represents the number of background samples per image or per batch
because I am doubting that MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE sets the number of samples for a batch and not a image
example
I set
cfg.MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE = 10
cfg.SOLVER.IMS_PER_BATCH = 32
then on tensorboard

if we agree that these values are logged every batch, then
as you can see if we sum num_bg_samples and num_fg_samples , we will find the a value equal to ROI_HEADS.BATCH_SIZE_PER_IMAGE
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