Please provide the following information when requesting support.
• Hardware (T4/V100/Xavier/Nano/etc)
V100
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc)
LPRnet
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here)
• Training spec file(If have, please share here)
################################################################################
# The MIT License (MIT)
#
# Copyright (c) 2019-2021 NVIDIA CORPORATION
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
################################################################################
random_seed: 42
lpr_config {
hidden_units: 512
max_label_length: 8
arch: "baseline"
nlayers: 18 #setting nlayers to be 10 to use baseline10 model
}
training_config {
batch_size_per_gpu: 32
num_epochs: 600
learning_rate {
soft_start_annealing_schedule {
min_learning_rate: 1e-6
max_learning_rate: 1e-5
soft_start: 0.001
annealing: 0.5
}
}
regularizer {
type: L2
weight: 5e-4
}
}
eval_config {
validation_period_during_training: 5
batch_size: 1
}
augmentation_config {
output_width: 96
output_height: 48
output_channel: 3
keep_original_prob: 0.3
}
dataset_config {
data_sources: {
label_directory_path: "/workspace/openalpr/data/train/label"
image_directory_path: "/workspace/openalpr/data/train/image"
}
characters_list_file: "/workspace/openalpr/model/ch_lp_characters.txt"
validation_data_sources: {
label_directory_path: "/workspace/openalpr/data/val/label"
image_directory_path: "/workspace/openalpr/data/val/image"
}
}
# transform_prob: 0.5
# rotate_degree: 5
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)
2021-11-01 09:20:28,676 [INFO] iva.lprnet.utils.spec_loader: Merging specification from /workspace/openalpr/tutorial_spec.txt
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/lprnet/scripts/train.py", line 277, in <module>
File "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/lprnet/scripts/train.py", line 273, in main
File "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/lprnet/scripts/train.py", line 64, in run_experiment
File "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/lprnet/utils/spec_loader.py", line 126, in load_experiment_spec
File "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/lprnet/utils/spec_loader.py", line 106, in load_proto
File "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/lprnet/utils/spec_loader.py", line 92, in _load_from_file
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 980, in _MergeField
merger(tokenizer, message, field)
File "/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py", line 1055, in _MergeMessageField
self._MergeField(tokenizer, sub_message)
File "/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py", line 947, in _MergeField
(message_descriptor.full_name, name))
google.protobuf.text_format.ParseError: 57:5 : Message type "AugmentationConfig" has no field named "transform_prob".
2021-11-01 17:20:31,245 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.
