I have incorporated all the changes according to the reference suggested by you, Now i am getting the following error
2022-07-05 15:15:14,735 [INFO] root: Registry: ['nvcr.io']
2022-07-05 15:15:14,956 [INFO] tlt.components.instance_handler.local_instance: Running command in container: nvcr.io/nvidia/tao/tao-toolkit-tf:v3.22.05-tf1.15.4-py3
Using TensorFlow backend.
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
/usr/local/lib/python3.6/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.5) or chardet (3.0.4) doesn't match a supported version!
RequestsDependencyWarning)
Using TensorFlow backend.
WARNING:tensorflow:From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:43: The name tf.train.SessionRunHook is deprecated. Please use tf.estimator.SessionRunHook instead.
2022-07-05 09:45:31,902 [WARNING] tensorflow: From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:43: The name tf.train.SessionRunHook is deprecated. Please use tf.estimator.SessionRunHook instead.
2022-07-05 09:45:32,033 [INFO] iva.detectnet_v2.spec_handler.spec_loader: Merging specification from /workspace/tao-experiments/detectnet_v2/specs/detectnet_v2_train_resnet18_kitti.txt
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
2022-07-05 09:45:32,039 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
WARNING:tensorflow:From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/evaluation/build_evaluator.py:72: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
2022-07-05 09:45:32,039 [WARNING] tensorflow: From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/evaluation/build_evaluator.py:72: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
2022-07-05 09:45:32,463 [INFO] root: Loading model weights.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
2022-07-05 09:45:35,321 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
2022-07-05 09:45:35,429 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.
2022-07-05 09:45:35,477 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.
2022-07-05 09:45:38,038 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.
2022-07-05 09:45:38,039 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.
2022-07-05 09:45:38,039 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.
2022-07-05 09:45:38,353 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.
/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.
warnings.warn('No training configuration found in save file: '
2022-07-05 09:45:39,001 [INFO] iva.detectnet_v2.objectives.bbox_objective: Default L1 loss function will be used.
2022-07-05 09:45:39,001 [INFO] root: Building dataloader.
2022-07-05 09:45:39,297 [INFO] root: Sampling mode of the dataloader was set to user_defined.
2022-07-05 09:45:39,297 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: Serial augmentation enabled = False
2022-07-05 09:45:39,298 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: Pseudo sharding enabled = False
2022-07-05 09:45:39,298 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: Max Image Dimensions (all sources): (0, 0)
2022-07-05 09:45:39,298 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: number of cpus: 256, io threads: 512, compute threads: 256, buffered batches: 4
2022-07-05 09:45:39,298 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: total dataset size 350, number of sources: 1, batch size per gpu: 16, steps: 22
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
2022-07-05 09:45:39,339 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
WARNING:tensorflow:Entity <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7fba8e1700b8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7fba8e1700b8>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-07-05 09:45:39,378 [WARNING] tensorflow: Entity <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7fba8e1700b8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7fba8e1700b8>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-07-05 09:45:39,396 [INFO] iva.detectnet_v2.dataloader.default_dataloader: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates.
2022-07-05 09:45:39,610 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: shuffle: False - shard 0 of 1
2022-07-05 09:45:39,615 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: sampling 1 datasets with weights:
2022-07-05 09:45:39,616 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: source: 0 weight: 1.000000
WARNING:tensorflow:Entity <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7fba68235da0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7fba68235da0>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-07-05 09:45:39,629 [WARNING] tensorflow: Entity <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7fba68235da0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7fba68235da0>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-07-05 09:45:39,841 [INFO] iva.detectnet_v2.evaluation.build_evaluator: Found 350 samples in validation set
WARNING:tensorflow:From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:107: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.
2022-07-05 09:45:39,842 [WARNING] tensorflow: From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:107: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.
WARNING:tensorflow:From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:110: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.
2022-07-05 09:45:39,842 [WARNING] tensorflow: From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:110: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.
WARNING:tensorflow:From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:113: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.
2022-07-05 09:45:39,844 [WARNING] tensorflow: From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:113: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.
WARNING:tensorflow:From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/rasterizers/bbox_rasterizer.py:347: The name tf.bincount is deprecated. Please use tf.math.bincount instead.
2022-07-05 09:45:39,981 [WARNING] tensorflow: From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/rasterizers/bbox_rasterizer.py:347: The name tf.bincount is deprecated. Please use tf.math.bincount instead.
WARNING:tensorflow:From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_functions.py:17: The name tf.log is deprecated. Please use tf.math.log instead.
2022-07-05 09:45:40,827 [WARNING] tensorflow: From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_functions.py:17: The name tf.log is deprecated. Please use tf.math.log instead.
WARNING:tensorflow:From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:235: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.
2022-07-05 09:45:40,863 [WARNING] tensorflow: From /root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:235: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.
Traceback (most recent call last):
File "/root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/evaluate.py", line 204, in <module>
File "/root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/evaluate.py", line 194, in <module>
File "<decorator-gen-2>", line 2, in main
File "/root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/utilities/timer.py", line 46, in wrapped_fn
File "/root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/evaluate.py", line 177, in main
File "/root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/evaluation/build_evaluator.py", line 163, in build_evaluator_for_trained_gridbox
File "/root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/model/utilities.py", line 30, in _fn_wrapper
File "/root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/model/detectnet_model.py", line 743, in build_validation_graph
File "/root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/model/detectnet_model.py", line 551, in _cost_func
File "/root/.cache/bazel/_bazel_root/b770f990bb7b9e2db5771981fb3a38b4/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py", line 227, in cost_combiner_func
AssertionError
2022-07-05 15:15:43,731 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.
My Specs file is as below after making the changes
random_seed: 42
dataset_config {
data_sources {
tfrecords_path: "/workspace/tao-experiments/data/tfrecords/kitti_trainval/*"
image_directory_path: "/workspace/tao-experiments/data/training"
}
image_extension: "png"
target_class_mapping {
key: "car"
value: "car"
}
target_class_mapping {
key: "cyclist"
value: "cyclist"
}
target_class_mapping {
key: "pedestrian"
value: "pedestrian"
}
target_class_mapping {
key: "person_sitting"
value: "pedestrian"
}
target_class_mapping {
key: "van"
value: "car"
}
validation_fold: 0
}
augmentation_config {
preprocessing {
output_image_width: 1248
output_image_height: 384
min_bbox_width: 1.0
min_bbox_height: 1.0
output_image_channel: 3
}
spatial_augmentation {
hflip_probability: 0.5
zoom_min: 1.0
zoom_max: 1.0
translate_max_x: 8.0
translate_max_y: 8.0
}
color_augmentation {
hue_rotation_max: 25.0
saturation_shift_max: 0.20000000298
contrast_scale_max: 0.10000000149
contrast_center: 0.5
}
}
postprocessing_config {
target_class_config {
key: "car"
value {
clustering_config {
clustering_algorithm: DBSCAN
dbscan_confidence_threshold: 0.9
coverage_threshold: 0.00499999988824
dbscan_eps: 0.20000000298
dbscan_min_samples: 0.0500000007451
minimum_bounding_box_height: 20
}
}
}
target_class_config {
key: "cyclist"
value {
clustering_config {
clustering_algorithm: DBSCAN
dbscan_confidence_threshold: 0.9
coverage_threshold: 0.00499999988824
dbscan_eps: 0.15000000596
dbscan_min_samples: 0.0500000007451
minimum_bounding_box_height: 20
}
}
}
target_class_config {
key: "pedestrian"
value {
clustering_config {
clustering_algorithm: DBSCAN
dbscan_confidence_threshold: 0.9
coverage_threshold: 0.00749999983236
dbscan_eps: 0.230000004172
dbscan_min_samples: 0.0500000007451
minimum_bounding_box_height: 20
}
}
}
}
model_config {
pretrained_model_file: "/workspace/tao-experiments/detectnet_v2/experiment_dir_pruned/resnet18_nopool_bn_detectnet_v2_pruned.tlt"
num_layers: 18
use_batch_norm: true
load_graph: true
objective_set {
bbox {
scale: 35.0
offset: 0.5
}
cov {
}
}
arch: "resnet"
}
evaluation_config {
validation_period_during_training: 10
first_validation_epoch: 30
minimum_detection_ground_truth_overlap {
key: "car"
value: 0.699999988079
}
minimum_detection_ground_truth_overlap {
key: "cyclist"
value: 0.5
}
minimum_detection_ground_truth_overlap {
key: "pedestrian"
value: 0.5
}
evaluation_box_config {
key: "car"
value {
minimum_height: 20
maximum_height: 9999
minimum_width: 10
maximum_width: 9999
}
}
evaluation_box_config {
key: "cyclist"
value {
minimum_height: 20
maximum_height: 9999
minimum_width: 10
maximum_width: 9999
}
}
evaluation_box_config {
key: "pedestrian"
value {
minimum_height: 20
maximum_height: 9999
minimum_width: 10
maximum_width: 9999
}
}
average_precision_mode: INTEGRATE
}
cost_function_config {
target_classes {
name: "car"
class_weight: 1.0
coverage_foreground_weight: 0.0500000007451
objectives {
name: "cov"
initial_weight: 1.0
weight_target: 1.0
}
objectives {
name: "bbox"
initial_weight: 10.0
weight_target: 10.0
}
}
target_classes {
name: "cyclist"
class_weight: 8.0
coverage_foreground_weight: 0.0500000007451
objectives {
name: "cov"
initial_weight: 1.0
weight_target: 1.0
}
objectives {
name: "bbox"
initial_weight: 10.0
weight_target: 1.0
}
}
target_classes {
name: "pedestrian"
class_weight: 4.0
coverage_foreground_weight: 0.0500000007451
objectives {
name: "cov"
initial_weight: 1.0
weight_target: 1.0
}
objectives {
name: "bbox"
initial_weight: 10.0
weight_target: 10.0
}
}
enable_autoweighting: true
max_objective_weight: 0.999899983406
min_objective_weight: 9.99999974738e-05
}
training_config {
batch_size_per_gpu: 4
num_epochs: 120
learning_rate {
soft_start_annealing_schedule {
min_learning_rate: 5e-06
max_learning_rate: 5e-04
soft_start: 0.10000000149
annealing: 0.699999988079
}
}
regularizer {
type: L1
weight: 3.00000002618e-09
}
optimizer {
adam {
epsilon: 9.99999993923e-09
beta1: 0.899999976158
beta2: 0.999000012875
}
}
cost_scaling {
initial_exponent: 20.0
increment: 0.005
decrement: 1.0
}
checkpoint_interval: 10
}
bbox_rasterizer_config {
target_class_config {
key: "car"
value {
cov_center_x: 0.5
cov_center_y: 0.5
cov_radius_x: 0.40000000596
cov_radius_y: 0.40000000596
bbox_min_radius: 1.0
}
}
target_class_config {
key: "cyclist"
value {
cov_center_x: 0.5
cov_center_y: 0.5
cov_radius_x: 1.0
cov_radius_y: 1.0
bbox_min_radius: 1.0
}
}
target_class_config {
key: "pedestrian"
value {
cov_center_x: 0.5
cov_center_y: 0.5
cov_radius_x: 1.0
cov_radius_y: 1.0
bbox_min_radius: 1.0
}
}
deadzone_radius: 0.400000154972
}