Please provide the following information when requesting support.
• Hardware (NVIDIA RTX 3080Ti)
• Network Type (Yolo v3)
• TLT Version (toolkit_version: 5.3.0)
• Training spec file
dataset_config {
data_sources: {
label_directory_path: “/workspace/tao-experiments/data/kitti/training/label_2”
image_directory_path: “/workspace/tao-experiments/data/kitti/training/image_2”
}
data_sources: {
label_directory_path: “/workspace/tao-experiments/data/kitti/training/label_2”
image_directory_path: “/workspace/tao-experiments/data/kitti/training/image_2”
}
include_difficult_in_training: true
target_class_mapping {
key: “car”
value: “car”
}
target_class_mapping {
key: “pedestrian”
value: “pedestrian”
}
target_class_mapping {
key: “cyclist”
value: “cyclist”
}
target_class_mapping {
key: “van”
value: “car”
}
target_class_mapping {
key: “person_sitting”
value: “pedestrian”
}
validation_data_sources: {
label_directory_path: “/workspace/tao-experiments/data/kitti/training/label_2”
image_directory_path: “/workspace/tao-experiments/data/kitti/training/image_2”
}
}
• How to reproduce the issue ?
tao model yolo_v3 dataset_convert -d /workspace/tao-experiments/yolov3/data_s
pec.txt -o /workspace/tao-experiments/yolov3/tfrecords
2024-09-01 17:22:12,719 [TAO Toolkit] [INFO] root 160: Registry: [‘nvcr.io’]
2024-09-01 17:22:12,773 [TAO Toolkit] [INFO] nvidia_tao_cli.components.instance_handler.local_instance 360: Running command in container: nvcr.io/nvidia/tao/tao-toolkit:5.0.0-tf1.15.5
2024-09-01 17:22:12,842 [TAO Toolkit] [WARNING] nvidia_tao_cli.components.docker_handler.docker_handler 288:
Docker will run the commands as root. If you would like to retain your
local host permissions, please add the “user”:“UID:GID” in the
DockerOptions portion of the “/home/quest/.tao_mounts.json” file. You can obtain your
users UID and GID by using the “id -u” and “id -g” commands on the
terminal.
2024-09-01 17:22:12,842 [TAO Toolkit] [INFO] nvidia_tao_cli.components.docker_handler.docker_handler 301: Printing tty value True
Using TensorFlow backend.
2024-09-01 11:52:13.580923: I tensorflow/stream_executor/platform/default/dso_loader.cc:50] Successfully opened dynamic library libcudart.so.12
2024-09-01 11:52:13,608 [TAO Toolkit] [WARNING] tensorflow 40: Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
2024-09-01 11:52:14,366 [TAO Toolkit] [WARNING] tensorflow 43: TensorFlow will not use sklearn by default. This improves performance in some cases. To enable sklearn export the environment variable TF_ALLOW_IOLIBS=1.
2024-09-01 11:52:14,388 [TAO Toolkit] [WARNING] tensorflow 42: TensorFlow will not use Dask by default. This improves performance in some cases. To enable Dask export the environment variable TF_ALLOW_IOLIBS=1.
2024-09-01 11:52:14,390 [TAO Toolkit] [WARNING] tensorflow 43: TensorFlow will not use Pandas by default. This improves performance in some cases. To enable Pandas export the environment variable TF_ALLOW_IOLIBS=1.
2024-09-01 11:52:15,254 [TAO Toolkit] [INFO] matplotlib.font_manager 1633: generated new fontManager
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
Using TensorFlow backend.
WARNING:tensorflow:TensorFlow will not use sklearn by default. This improves performance in some cases. To enable sklearn export the environment variable TF_ALLOW_IOLIBS=1.
2024-09-01 11:52:16,489 [TAO Toolkit] [WARNING] tensorflow 43: TensorFlow will not use sklearn by default. This improves performance in some cases. To enable sklearn export the environment variable TF_ALLOW_IOLIBS=1.
WARNING:tensorflow:TensorFlow will not use Dask by default. This improves performance in some cases. To enable Dask export the environment variable TF_ALLOW_IOLIBS=1.
2024-09-01 11:52:16,513 [TAO Toolkit] [WARNING] tensorflow 42: TensorFlow will not use Dask by default. This improves performance in some cases. To enable Dask export the environment variable TF_ALLOW_IOLIBS=1.
WARNING:tensorflow:TensorFlow will not use Pandas by default. This improves performance in some cases. To enable Pandas export the environment variable TF_ALLOW_IOLIBS=1.
2024-09-01 11:52:16,515 [TAO Toolkit] [WARNING] tensorflow 43: TensorFlow will not use Pandas by default. This improves performance in some cases. To enable Pandas export the environment variable TF_ALLOW_IOLIBS=1.
Traceback (most recent call last):
File “/usr/local/lib/python3.8/dist-packages/nvidia_tao_tf1/cv/yolo_v3/scripts/dataset_convert.py”, line 48, in
raise e
File “/usr/local/lib/python3.8/dist-packages/nvidia_tao_tf1/cv/yolo_v3/scripts/dataset_convert.py”, line 32, in
main(sys.argv[1:])
File “/usr/local/lib/python3.8/dist-packages/nvidia_tao_tf1/cv/detectnet_v2/scripts/dataset_convert.py”, line 129, in main
merge_text_proto(f.read(), dataset_export_config)
File “/usr/local/lib/python3.8/dist-packages/google/protobuf/text_format.py”, line 719, in Merge
return MergeLines(
File “/usr/local/lib/python3.8/dist-packages/google/protobuf/text_format.py”, line 793, in MergeLines
return parser.MergeLines(lines, message)
File “/usr/local/lib/python3.8/dist-packages/google/protobuf/text_format.py”, line 818, in MergeLines
self._ParseOrMerge(lines, message)
File “/usr/local/lib/python3.8/dist-packages/google/protobuf/text_format.py”, line 837, in _ParseOrMerge
self._MergeField(tokenizer, message)
File “/usr/local/lib/python3.8/dist-packages/google/protobuf/text_format.py”, line 932, in _MergeField
raise tokenizer.ParseErrorPreviousToken(
google.protobuf.text_format.ParseError: 1:1 : Message type “DatasetExportConfig” has no field named “dataset_config”.
Execution status: FAIL
2024-09-01 17:22:21,957 [TAO Toolkit] [INFO] nvidia_tao_cli.components.docker_handler.docker_handler 363: Stopping container.
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