Please provide the following information when requesting support.
• Hardware AWS TAO configured AMI
• Network Type Detectnet_v2
• TAO Version
dockers: [‘nvidia/tao/tao-toolkit-tf’, ‘nvidia/tao/tao-toolkit-pyt’, ‘nvidia/tao/tao-toolkit-lm’]
format_version: 1.0
toolkit_version: 3.21.08
published_date: 08/17/2021
I am trying to convert tfrecords from kitti dataset. I’ve split the data set into training and validation. When running
!tao detectnet_v2 dataset_convert
On training dataset, It works okay, but when trying to do so in validation dataset output the next error:
Converting Tfrecords for kitti train dataset
2021-09-29 14:06:47,231 [INFO] root: Registry: [‘nvcr.io’]
Matplotlib created a temporary config/cache directory at /tmp/matplotlib-uuszsgr8 because the default path (/.config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.
Using TensorFlow backend.
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
Using TensorFlow backend.
Traceback (most recent call last):
File “/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/dataset_convert.py”, line 104, in
File “/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/dataset_convert.py”, line 93, in
File “/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/dataset_convert.py”, line 85, in main
File “/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py”, line 735, in Merge
allow_unknown_field=allow_unknown_field)
File “/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py”, line 803, in MergeLines
return parser.MergeLines(lines, message)
File “/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py”, line 828, in MergeLines
self._ParseOrMerge(lines, message)
File “/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py”, line 850, in _ParseOrMerge
self._MergeField(tokenizer, message)
File “/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py”, line 923, in _MergeField
name = tokenizer.ConsumeIdentifierOrNumber()
File “/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py”, line 1392, in ConsumeIdentifierOrNumber
raise self.ParseError(‘Expected identifier or number, got %s.’ % result)
google.protobuf.text_format.ParseError: 12:1 : ‘’: Expected identifier or number, got .
2021-09-29 14:06:56,089 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.
The Kitti datasets are created the same way.
vcarsNet_tfrecords_kitti_train.txt (326 Bytes)
vcarsNet_tfrecords_kitti_validation.txt (333 Bytes)