random_seed: 42 dataset_config { data_sources { tfrecords_path: "/workspace/tlt-experiments/ObjectDetectionData/numplate_tfrecords_detectnet/*" image_directory_path: "/workspace/tlt-experiments/ObjectDetectionData/" } image_extension: "jpeg" target_class_mapping { key: "plate" value: "plate" } target_class_mapping { key: "textline" value: "textline" } validation_fold: 0 } augmentation_config { preprocessing { output_image_width: 736 output_image_height: 736 min_bbox_width: 10.0 min_bbox_height: 10.0 output_image_channel: 3 } spatial_augmentation { hflip_probability: 0.0 zoom_min: 1.0 zoom_max: 1.0 translate_max_x: 0.0 translate_max_y: 0.0 } 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: "plate" value { clustering_config { coverage_threshold: 0.00499999988824 dbscan_eps: 0.20000000298 dbscan_min_samples: 0.0500000007451 minimum_bounding_box_height: 10 } } } target_class_config { key: "textline" value { clustering_config { coverage_threshold: 0.00499999988824 dbscan_eps: 0.15000000596 dbscan_min_samples: 0.0500000007451 minimum_bounding_box_height: 10 } } } } model_config { pretrained_model_file: "/workspace/tlt-experiments/detectnet_v2/resnet18/prune_0.5/resnet18_prune.tlt" load_graph: true num_layers: 18 use_batch_norm: true objective_set { bbox { scale: 35.0 offset: 0.5 } cov { } } training_precision { backend_floatx: FLOAT32 } arch: "resnet" } evaluation_config { validation_period_during_training: 5 first_validation_epoch: 10 minimum_detection_ground_truth_overlap { key: "plate" value: 0.699999988079 } minimum_detection_ground_truth_overlap { key: "textline" value: 0.5 } evaluation_box_config { key: "plate" value { minimum_height: 10 maximum_height: 9999 minimum_width: 20 maximum_width: 9999 } } evaluation_box_config { key: "textline" value { minimum_height: 10 maximum_height: 9999 minimum_width: 10 maximum_width: 9999 } } average_precision_mode: INTEGRATE } cost_function_config { target_classes { name: "plate" 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: 1.0 } } target_classes { name: "textline" 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: 1.0 } } enable_autoweighting: true max_objective_weight: 0.999899983406 min_objective_weight: 9.99999974738e-05 } training_config { batch_size_per_gpu: 16 num_epochs: 15 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: NO_REG 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: "plate" value { cov_center_x: 0.5 cov_center_y: 0.5 cov_radius_x: 0.5 cov_radius_y: 0.5 bbox_min_radius: 1.0 } } target_class_config { key: "textline" value { cov_center_x: 0.5 cov_center_y: 0.5 cov_radius_x: 0.5 cov_radius_y: 0.5 bbox_min_radius: 1.0 } } deadzone_radius: 0.67 }