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The tfdsv4 pipeline outputs object detection labels with a batch dimension, e.g. for an image with N boxes, the new pipeline outputs scores with a shape of (1, N) as opposed to shape (N,). This will require minor modification to attacks in armory.art_experimental to account for this (as well as in metrics code?).
To yield the errors currently present on the tfdsv4 branch, simply run any carla object detection config. As part of this issue, we'll need to figure out if this impacts all object detection datasets or just certain ones. This issue can be considered fixed once we can run all object detection configs without error.
The text was updated successfully, but these errors were encountered:
The tfdsv4 pipeline outputs object detection labels with a batch dimension, e.g. for an image with N boxes, the new pipeline outputs scores with a shape of
(1, N)
as opposed to shape(N,)
. This will require minor modification to attacks inarmory.art_experimental
to account for this (as well as in metrics code?).To yield the errors currently present on the
tfdsv4
branch, simply run any carla object detection config. As part of this issue, we'll need to figure out if this impacts all object detection datasets or just certain ones. This issue can be considered fixed once we can run all object detection configs without error.The text was updated successfully, but these errors were encountered: