inferencer_config{ # defining target class names for the experiment. # Note: This must be mentioned in order of the networks classes. target_classes: "Car" target_classes: "Bicycle" target_classes: "Person" target_classes: "Roadsign" # Inference dimensions. image_width: 960 image_height: 544 # Must match what the model was trained for. image_channels: 3 batch_size: 16 gpu_index: 0 # model handler config tlt_config{ model: "/workspace/tao-experiments/tlt_trafficcamnet_vunpruned_v1.0/resnet18_trafficcamnet.tlt" } } bbox_handler_config{ kitti_dump: true disable_overlay: false overlay_linewidth: 2 classwise_bbox_handler_config{ key:"Car" value: { confidence_model: "aggregate_cov" output_map: "Car" bbox_color{ R: 0 G: 255 B: 0 } clustering_config{ clustering_algorithm: DBSCAN coverage_threshold: 0.005 dbscan_eps: 0.1 dbscan_min_samples: 0.05 dbscan_confidence_threshold: 0.8 minimum_bounding_box_height: 4 } } } classwise_bbox_handler_config{ key:"Bicycle" value: { confidence_model: "aggregate_cov" output_map: "Bicycle" bbox_color{ R: 0 G: 255 B: 255 } clustering_config{ clustering_algorithm: DBSCAN coverage_threshold: 0.005 dbscan_eps: 0.1 dbscan_min_samples: 0.05 dbscan_confidence_threshold: 0.8 minimum_bounding_box_height: 4 } } } classwise_bbox_handler_config{ key:"Person" value: { confidence_model: "aggregate_cov" output_map: "Person" bbox_color{ R: 255 G: 0 B: 0 } clustering_config{ clustering_algorithm: DBSCAN coverage_threshold: 0.005 dbscan_eps: 0.1 dbscan_min_samples: 0.05 dbscan_confidence_threshold: 0.8 minimum_bounding_box_height: 4 } } } classwise_bbox_handler_config{ key:"Roadsign" value: { confidence_model: "aggregate_cov" output_map: "Roadsign" bbox_color{ R: 255 G: 0 B: 255 } clustering_config{ clustering_algorithm: DBSCAN dbscan_confidence_threshold: 0.8 coverage_threshold: 0.005 dbscan_eps: 0.1 dbscan_min_samples: 0.05 minimum_bounding_box_height: 4 } } } }