I am using the latest TLT container nvcr.io/nvidia/tlt-streamanalytics:v3.0-dp-py3
I used the sample jupyter notebook provided in TLT container to train ssd, when I changed the data source to tf_records instead if images files
data_sources {
tfrecords_path: “/workspace/tlt-experiments/data/tfrecords/kitti_trainval/*”
image_directory_path: “/workspace/tlt-experiments/data/training”
}
it gives an error
google.protobuf.text_format.ParseError: 48:5 : Message type “DataSource” has no field named “tfrecords_path”.
However, training with tf records works fine with detectnet and FRCNN, the config parser accepts tfrecords_path without any problem!