Sample Configurations and Streams

Contents of the package

This section provides information about included sample configs and streams.

samples: Directory containing sample configuration files, streams, and models to run the sample applications.

samples/configs/deepstream-app: Configuration files for the reference application

The following table provides information about configuration files for the reference application in samples/configs/deepstream-app directory.

Sample configs for the reference application in samples/configs/deepstream-app

Configuration File	Description	Platform
source30_1080p_dec_infer-resnet_tiled_display.txt	Demonstrates 30 stream decodes with primary inferencing	For all platforms.
source30_1080p_dec_infer-resnet_tiled_display.yml	YAML based config file to demonstrate 30 stream decode with primary inference for dGPU and Jetson AGX Orin platforms only.	For all platforms.
source4_1080p_dec_infer-resnet_tiled_display.txt	Demonstrates four stream decodes with primary inferencing, object tracking, and two different secondary classifiers	For all platforms.
source4_1080p_dec_infer-resnet_tracker_sgie_tiled_display.yml	YAML based config file to demonstrate four stream decode with primary inferencing, object tracking, and two different secondary classifiers	For all platforms.
source4_1080p_dec_infer-resnet_tracker_sgie_tiled_display_gpu1.txt	Demonstrates four stream decodes with primary inferencing, object tracking, and two different secondary classifiers on GPU 1 (for systems that have multiple GPU cards)	For x86 platforms only
config_infer_primary.txt	Configures a nvinfer element as primary detector	For all platforms.
config_infer_primary.yml	YAML based config file to configure a nvinfer element as primary detector	For all platforms.
config_infer_secondary_vehiclemake.txt, config_infer_secondary_vehicletypes.txt	Configure a nvinfer element as secondary classifier	For all platforms.
config_infer_secondary_vehiclemake.yml, config_infer_secondary_vehicletypes.yml	YAML based config file to configure a nvinfer element as secondary classifier	For all platforms.
config_tracker_IOU.yml	Config file for IOU tracker	For all platforms.
config_tracker_NvSORT.yml	Config file for NvSORT tracker	For all platforms.
config_tracker_NvDeepSORT.yml	Config file for NvDeepSORT tracker	For all platforms.
config_tracker_NvDCF_accuracy.yml	Config file for NvDCF tracker for higher accuracy	For all platforms.
config_tracker_NvDCF_max_perf.yml	Config file for NvDCF tracker for max perf mode	For all platforms.
config_tracker_NvDCF_perf.yml	Config file for NvDCF tracker for perf mode	For all platforms.
config_preprocess.txt	Config file for using preprocess in PGIE mode	For all platforms.
config_preprocess_sgie.txt	Config file for using preprocess in SGIE mode	For all platforms.
source4_1080p_dec_preprocess_infer-resnet_preprocess_sgie_tiled_display.txt	Demonstrates four stream decodes with preprocess plugin in PGIE mode followed by primary inferencing, preprocess plugin in SGIE mode, and two different secondary classifiers	For all platforms.
source30_1080p_dec_preprocess_infer-resnet_tiled_display.txt	Demonstrates 30 stream decodes with preprocess plugin in PGIE mode followed by primary inferencing	For all platforms.
sources_30.csv	CSV file for 30 sources required in source30_1080p_dec_infer-resnet_tiled_display.yml	For all platforms.
sources_4.csv	CSV file for 30 sources required in source4_1080p_dec_infer-resnet_tracker_sgie_tiled_display.yml	For all platforms.
source1_usb_dec_infer_resnet.txt	Demonstrates one USB camera as input	For all platforms.
source1_csi_dec_infer_resnet.txt	Demonstrates one CSI camera as input	For Jetson only
source2_csi_usb_dec_infer_resnet.txt	Demonstrates one CSI camera and one USB camera as inputs	For Jetson only
source6_csi_dec_infer_resnet.txt	Demonstrates six CSI cameras as inputs	For Jetson only
source2_1080p_dec_infer-resnet_demux.txt	Demonstrates demux mode for two sources	For all platforms.
config_mux_source4.txt, config_mux_source30.txt	Sample nvstreammux (new) config files. For more details see Section Mux Config Properties	For all platforms.

samples/configs/deepstream-app-triton: Configuration files for the reference application for inferencing using Triton Inference Server.

The following table provides information about configuration files for the reference application in samples/configs/deepstream-app-triton directory.

Sample configs for the reference application for inferencing using Triton Inference Server in samples/configs/deepstream-app-triton

Configuration File	Description
source30_1080p_dec_infer-resnet_tiled_display.txt	30 Decode + Infer
source4_1080p_dec_infer-resnet_tracker_sgie_tiled_display.txt	4 Decode + Infer + SGIE + Tracker
source1_primary_classifier.txt	Single source + full frame classification
source1_1080p_dec_infer_peoplesemsegnet_shuffle.txt	Single source + semantic segmentation
source1_primary_detector_peoplenet_transformer.txt	Single source + full frame classification
source1_primary_detector.txt	Single source + object detection using ssd

Other classification models can be used by changing the ds-triton nvinferserver config file in the [*-gie] group of application config file.

Configuration files for ds-triton nvinferserver element in configs/deepstream-app-triton/. The following table provides information about configuration files for the reference application in samples/configs/deepstream-app-triton directory.

Sample configs for ds-triton nvinferserver element in samples/configs/deepstream-app-triton

Configuration File	Description
config_infer_plan_engine_primary.txt	Primary Object Detector
config_infer_secondary_plan_engine_vehiclemake.txt	Secondary Vehicle Make Classifier
config_infer_secondary_plan_engine_vehicletypes.txt	Secondary Vehicle Type Classifier

samples/configs/deepstream-app-triton-grpc: Configuration files for the reference application for inferencing using Triton Inference Server gRPC

The following table provides information about configuration files for the reference application using Triton Inference Server gRPC in samples/configs/deepstream-app-triton-grpc directory.

Sample configs for inferencing using Triton Inference Server gRPC in samples/configs/deepstream-app-triton-grpc

Configuration File	Description
config_infer_plan_engine_primary.txt	Primary Object Detector
config_infer_secondary_plan_engine_vehiclemake.txt	Secondary Vehicle Make Classifier
config_infer_secondary_plan_engine_vehicletypes.txt	Secondary Vehicle Type Classifier

Configuration files for ds-triton nvinferserver element in configs/deepstream-app-triton-grpc/. The following table provides information about configuration files for the reference application using Triton Inference Server nvinferserver in samples/configs/deepstream-app-triton-grpc directory.

Sample configs for inferencing using Triton Inference Server gRPC in samples/configs/deepstream-app-triton-grpc

Configuration File	Description
config_infer_plan_engine_primary.txt	Primary Object Detector
config_infer_secondary_plan_engine_vehiclemake.txt	Secondary Vehicle Make Classifier
config_infer_secondary_plan_engine_vehicletypes.txt	Secondary Vehicle Type Classifier

NVIDIA TAO Toolkit pretrained Models:
- samples/configs/tao_pretrained_models: Contains README.md to obtain configs and models for TAO toolkit.
samples: Directory containing sample configuration files, models, and streams to run the sample applications.
samples/streams: The following streams are provided with the DeepStream SDK:

Streams	Type of stream
`sample_1080p_h264.mp4`	H264 containerized stream
`sample_1080p_h265.mp4`	H265 containerized stream
`sample_720p.h264`	H264 elementary stream
`sample_720p.jpg`	JPEG image
`sample_720p_mjpeg.mp4`	MJPEG containerized stream
`sample_720p.mp4`	Containerized stream
`sample_cam5.mp4`	H264 containerized stream (360D camera stream)
`sample_cam6.mp4`	H264 containerized stream (360D camera stream)
`sample_industrial.jpg`	JPEG image
`yoga.jpg`	Image for perspective projection in Dewarper
`yoga.mp4`	Containerized stream
`sample_qHD.mp4`	Used for MaskRCNN
`sample_qHD.h264`	H264 elementary stream
`sample_push.mov`	H264 containerized stream
`sample_ride_bike.mov`	H264 containerized stream
`sample_run.mov`	H264 containerized stream
`sample_walk.mov`	H264 containerized stream
`fisheye_dist.mp4`	Containerized stream
`sonyc_mixed_audio.wav`	Audio bitstream
`sample_office.mp4`	Containerized stream
`pointcloud`	Contains input files for lidar application

samples/models: The following sample models are provided with the SDK:

DeepStream Reference application

Model	Model Type	No. of Classes	Resolution
Primary Detector	Resnet18	4	960 × 544
Secondary Vehicle Make Classifier	Resnet18	20	224 × 224
Secondary Vehicle Type Classifier	Resnet18	6	224 × 224

Scripts included along with package

The script prepare_classification_test_video.sh mentioned below requires ffmpeg to be installed. Some of the low level codec libraries need to be re-installed along with ffmpeg.
Use the following command to install/re-install ffmpeg: apt-get install --reinstall libflac8 libmp3lame0 libxvidcore4 ffmpeg

The following scripts are included along with the sample applications package:

samples/ prepare_classification_test_video.sh: Downloads Imagenet test images and creates a video out of it to test with Classification models.
samples/ prepare_ds_triton_model_repo.sh: Prepare the Model repository for Triton Inference Server
1. Creates engine files for ONNX based models provided as part of SDK.
samples/ prepare_ds_triton_tao_model_repo.sh: Prepare the Model repository for Triton Tao Inference Server
1. Downloads Model files for Peoplenet Transformer, Peoplesemsegnet Shuffle.
2. Create engine files for downloaded models.
uninstall.sh: Used to clean up previous DS installation.