random_seed: 42 dataset_config { data_sources { tfrecords_path: "/workspace/tlt-experiments/data/tfrecords/kitti_trainval/*" image_directory_path: "/workspace/tlt-experiments/data/training" } image_extension: "PNG" target_class_mapping { key: "car" value: "car" } validation_fold: 0 } model_config { pretrained_model_file: "/workspace/tlt-experiments/detectnet_v2/pretrained_trafficcamnet/tlt_trafficcamnet_vunpruned_v1.0/resnet18_trafficcamnet.tlt" num_layers: 18 use_batch_norm: false objective_set { bbox { scale: 35.0 offset: 0.5 } cov { } } training_precision { backend_floatx: FLOAT32 } arch: "resnet" all_projections:True } augmentation_config { preprocessing { output_image_width: 960 output_image_height: 544 crop_right: 960 crop_bottom: 544 min_bbox_width: 1.0 min_bbox_height: 1.0 output_image_channel: 3 } spatial_augmentation { hflip_probability: 0.5 zoom_min: 1 zoom_max: 1 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: 15 } } } } evaluation_config { validation_period_during_training: 5 first_validation_epoch: 1 minimum_detection_ground_truth_overlap { key: "car" value: 0.699999988079 } evaluation_box_config { key: "car" 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 } } 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: 9e-08 max_learning_rate: 0.0000045 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 } } deadzone_radius: 0.400000154972 }