random_seed: 42 dataset_config { data_sources { tfrecords_path: "/workspace/tao-experiments/car_data/tfrecords/kitti_trainval/*" image_directory_path: "/workspace/tao-experiments/car_data/training/" } image_extension: "png" target_class_mapping{ key:"car" value:"car" } validation_fold: 0 } augmentation_config { preprocessing { output_image_width: 960 output_image_height: 544 min_bbox_width: 1.0 min_bbox_height: 1.0 output_image_channel: 3 } spatial_augmentation { hflip_probability: 0.5 vflip_probability: 0.0 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 coverage_threshold: 0.005 dbscan_eps: 0.15 dbscan_min_samples: 0.05 minimum_bounding_box_height: 4 dbscan_confidence_threshold: 0.9 } } } } model_config { pretrained_model_file: "/workspace/tao-experiments/detectnet_v2_car/pretrained_trafficcamnet/resnet18_trafficcamnet.tlt" num_layers: 18 use_batch_norm: true objective_set { bbox { scale: 35.0 offset: 0.5 } cov { } } training_precision { backend_floatx: FLOAT32 } arch: "resnet" all_projections: true } evaluation_config { validation_period_during_training: 10 first_validation_epoch: 20 minimum_detection_ground_truth_overlap { key: "car" value: 0.5 } 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: 0.05 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: 8 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 { enabled: False 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: 0.4 cov_radius_y: 0.4 bbox_min_radius: 1.0 } } deadzone_radius: 0.4 }