Sample Configurations and Streams

• source30_1080p_resnet_dec_infer_tiled_display_int8.txt: Demonstrates 30 stream decodes with primary inferencing. (For dGPU and Jetson AGX Xavier platforms only.)

• source4_1080p_resnet_dec_infer_tiled_display_int8.txt: Demonstrates four stream decodes with primary inferencing, object tracking, and three different secondary classifiers. (For dGPU and Jetson AGX Xavier platforms only.)

• source4_1080p_resnet_dec_infer_tracker_sgie_tiled_display_int8_gpu1.txt: Demonstrates four stream decodes with primary inferencing, object tracking, and three different secondary classifiers on GPU 1 (for systems that have multiple GPU cards). For dGPU platforms only.

• config_infer_primary.txt: Configures a nvinfer element as primary detector.

• config_infer_secondary_carcolor.txt, config_infer_secondary_carmake.txt, config_infer_secondary_vehicletypes.txt: Configure a nvinfer element as secondary classifier.

• iou_config.txt: Configures a low-level IOU (Intersection over Union) tracker.

• tracker_config.yml: Configures the NvDCF tracker.

• source1_usb_dec_infer_resnet_int8.txt: Demonstrates one USB camera as input.

• source1_csi_dec_infer_resnet_int8.txt: Demonstrates one CSI camera as input; for Jetson only.

• source2_csi_usb_dec_infer_resnet_int8.txt: Demonstrates one CSI camera and one USB camera as inputs; for Jetson only.

• source6_csi_dec_infer_resnet_int8.txt: Demonstrates six CSI cameras as inputs; for Jetson only.

• source8_1080p_dec_infer-resnet_tracker_tiled_display_fp16_nano.txt: Demonstrates 8 Decode + Infer + Tracker; for Jetson Nano only.

• source8_1080p_dec_infer-resnet_tracker_tiled_display_fp16_tx1.txt: Demonstrates 8 Decode + Infer + Tracker; for Jetson TX1 only.

• source12_1080p_dec_infer-resnet_tracker_tiled_display_fp16_tx2.txt: Demonstrates 12 Decode + Infer + Tracker; for Jetson TX2 only.

• source30_1080p_dec_infer-resnet_tiled_display_int8.txt (30 Decode + Infer)

• source4_1080p_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt (4 Decode + Infer + SGIE + Tracker)

• source1_primary_classifier.txt (Single source + full frame classification)

• config_infer_plan_engine_primary.txt (Primary Object Detector)

• config_infer_secondary_plan_engine_carcolor.txt (Secondary Car Color Classifier)

• config_infer_secondary_plan_engine_carmake.txt (Secondary Car Make Classifier)

• config_infer_secondary_plan_engine_vehicletypes.txt (Secondary Vehicle Type Classifier)

• config_infer_primary_classifier_densenet_onnx.txt (DenseNet-121 v1.2 classifier)

• config_infer_primary_classifier_inception_graphdef_postprocessInTrtis.txt (Tensorflow Inception v3 classifier - Post processing in Triton)

• config_infer_primary_classifier_inception_graphdef_postprocessInDS.txt (Tensorflow Inception v3 classifier - Post processing in DeepStream)

• config_infer_primary_detector_ssd_inception_v2_coco_2018_01_28.txt (TensorFlow SSD Inception V2 Object Detector)

• deepstream_app_source1_dashcamnet_vehiclemakenet_vehicletypenet.txt (Demonstrates object detection using DashCamNet model with VehicleMakeNet and VehicleTypeNet as secondary classification models on one source)

• deepstream_app_source1_faceirnet.txt (Demonstrates face detection for IR camera using FaceDetectIR object detection model on one source)

• deepstream_app_source1_peoplenet.txt (Demonstrates object detection using PeopleNet object detection model on one source)

• deepstream_app_source1_trafficcamnet.txt (Demonstrates object detection using TrafficCamNet object detection model on one source)

• deepstream_app_source1_detection_models.txt (Demonstrates object detection using multiple TLT exported models located at https://github.com/NVIDIA-AI-IOT/deepstream_tlt_apps. Models can be switched by changing the nvinfer configuration file.)

• config_infer_primary_dashcamnet.txt, labels_dashcamnet.txt (DashCamNet – Resnet18 based object detection model for Vehicle, Bicycle, Person, Roadsign)

• config_infer_secondary_vehiclemakenet.txt, labels_vehiclemakenet.txt (VehicleMakeNet – Resnet18 based classification model for make of the vehicle)

• config_infer_secondary_vehicletypenet.txt, labels_vehicletypenet.txt (VehicleTypeNet – Resnet18 based classification model for type of the vehicle)

• config_infer_primary_faceirnet.txt, labels_faceirnet.txt (FaceIRNet – Resnet18 based face detection model for IR images)

• config_infer_primary_peoplenet.txt, labels_peoplenet.txt (PeopleNet – Resnet18 based object detection model for Person, Bag, Face)

• config_infer_primary_trafficcamnet.txt, labels_trafficnet.txt (TrafficCamNet – Resnet18 based object detection model for Vehicle, Bicycle, Person, Roadsign for traffic camera viewpoint)

• config_infer_primary_detectnet_v2.txt, detectnet_v2_labels.txt (DetectNetv2 – Object detection model for Bicycle, Car, Person, Roadsign)

• config_infer_primary_dssd.txt, dssd_labels.txt(DSSD – Object detection model for Bicycle, Car, Person, Roadsign)

• config_infer_primary_frcnn.txt, frcnn_labels.txt (FasterRCNN – Object detection model for Bicycle, Car, Person, Roadsign, Background)

• config_infer_primary_retinanet.txt, retinanet_labels.txt (RetinaNet – Object detection model for Bicycle, Car, Person, Roadsign)

• config_infer_primary_ssd.txt, ssd_labels.txt (SSD – Object detection model for Bicycle, Car, Person, Roadsign)

• config_infer_primary_yolov3.txt, yolov3_labels.txt (YoloV3 – Object detection model for Bicycle, Car, Person, Roadsign)

• config_infer_primary_mrcnn.txt, mrcnn_labels.txt (MaskRCNN – Instance segmentation model for Background and Car)