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If you dump annotation for TFRecord Zip 1.0 then there will be a lot of problem with the dumped file. (/annotation/tfrecord.py)
First problem is with label_map.pbtxt. The problem is id = 0 is reserved for background. So, it needs to start from 1 NOT 0. This can easily be fixed.
Tfrecord contains encoded images so that training can be faster. But if you look at the current file, it does not encode images into tfrecord. If you use this tfrecord in TF Detection API, it will throw an error.
The text was updated successfully, but these errors were encountered:
Thanks for the report. The second problem will be fixed in our new dataset framework (datumaro). Dump annotations is used only to dump annotations (without images). We recently introduced export as dataset feature. Now it doesn't support TFRecord format but it will do. The feature will export images + annotations. Please stay tuned.
If you dump annotation for
TFRecord Zip 1.0
then there will be a lot of problem with the dumped file. (/annotation/tfrecord.py
)First problem is with
label_map.pbtxt
. The problem isid = 0
is reserved for background. So, it needs to start from 1 NOT 0. This can easily be fixed.Tfrecord contains encoded images so that training can be faster. But if you look at the current file, it does not encode images into tfrecord. If you use this tfrecord in TF Detection API, it will throw an error.
The text was updated successfully, but these errors were encountered: