Hi!
From a dataframe of images, how could I run a detection model, and retrieve in one pass both the detection boxes and the detection classes?
I can currently use either outputTensor="detection_classes:0" or outputTensor="detection_boxes:0" when defining the TFImageTransformer, but I can't seem to output both, without running the transformer twice.
Is there a way to output multiple tensors from a single TFImageTransformer?
Hi! From a dataframe of images, how could I run a detection model, and retrieve in one pass both the detection boxes and the detection classes?
I can currently use either
outputTensor="detection_classes:0"
oroutputTensor="detection_boxes:0"
when defining theTFImageTransformer
, but I can't seem to output both, without running the transformer twice.Is there a way to output multiple tensors from a single
TFImageTransformer
?