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If we log 2x eval_accuracy and eval_taget then we cannot distinguish which is for bbox and which is for mask. Additionally following will fail from v0.5.0_common.yaml
TAGS_COUNT_SAME:
eval_start
eval_size
eval_target
eval_accuracy
eval_stop
If (what is preferable) we will log 2 values in eval_accuracy and eval_target (e.g. value={"bbox": bbox, "mask":mask} ) then mlp_compliance.py scirpt will fail in get_model_accuracy()
The text was updated successfully, but these errors were encountered:
MaskRCNN is supposed to reach 2 accuracy values (bbox and mask),
https://github.com/mlperf/policies/blob/master/training_rules.adoc#3-benchmarks
Compliance checker is not ready for that.
The text was updated successfully, but these errors were encountered: