DeepStream pipelines
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Problems running the pipelines shown on this page? Please see our GStreamer Debugging guide for help.
Introduction
On this page, you are going to find a set of DeepStream pipelines used on Jetson Xavier and Nano, specifically used with the Jetson board. This wiki page tries to describe some of the DeepStream features for the NVIDIA platforms and other multimedia features. The goal is to provide you some example pipelines.
Dependencies
The pipelines have the following dependencies:
GStreamer Daemon
GStreamer Daemon is, as it name states, a process that runs independently and exposes a public interface for other processes to communicate with and control the daemon. The goal behind Gstd is to abstract much of the complexity of writing custom GStreamer applications, as well as factoring out lots of boilerplate code required to write applications from scratch. You could install the plugin with GStreamer_Daemon
We use GStreamer Daemon to run pipelines with a primary and secondary DeepStream method.
Pipelines
Xavier
RTSP Stream
rtsp stream displayed with nvoverlay
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvoverlaysink sync=false
Crop
640x480 crop using videocrop
gst-launch-1.0 nvarguscamerasrc ! "video/x-raw(memory:NVMM), width=3264, height=2464" ! nvvidconv ! videocrop left=0 right=2624 top=0 bottom=1984 ! nvvidconv ! 'video/x-raw(memory:NVMM), width=640, height=480' ! nvoverlaysink sync=false
640x480 crop using videocrop (auto)
gst-launch-1.0 nvarguscamerasrc ! "video/x-raw(memory:NVMM)" ! nvvidconv ! 'video/x-raw, width=3264, height=2464' ! videocrop left=0 right=-1 top=0 bottom=-1 ! 'video/x-raw, width=640, height=480' ! nvvidconv ! nvoverlaysink sync=false
640x480 crop using nvvidconv
gst-launch-1.0 nvarguscamerasrc ! "video/x-raw(memory:NVMM), width=3264, height=2464" ! nvvidconv left=0 right=640 top=0 bottom=480 ! 'video/x-raw(memory:NVMM), width=640, height=480' ! nvoverlaysink sync=false
RTSP Stream and Crop
rtsp stream croped to 640x480 using videocrop
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvvidconv ! videocrop left=0 right=80 top=0 bottom=200 ! nvvidconv ! 'video/x-raw(memory:NVMM), width=640, height=480' ! nvoverlaysink sync=false
rtsp stream croped to 640x480 using nvvidconv
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvvidconv left=0 right=80 top=0 bottom=200 ! 'video/x-raw(memory:NVMM), width=640, height=480' ! nvoverlaysink sync=false
Detection
Detection (primary) + overlay
Using rtsp
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
- Output

Using mp4 file
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
- Output

Detection (primary) + tracker
- If using the followin link you get a red screen check this link: Red screen with "vid_rend: syncpoint wait timeout"
Using rtsp
Using mot_iou tracker
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvmultistreamtiler ! queue ! nvtracker tracker-width=240 tracker-height=200 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_iou.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/iou_config.txt ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink
Using mot_klt tracker
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvmultistreamtiler ! queue ! nvtracker tracker-width=240 tracker-height=200 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_klt.so ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
Using mp4 file
Using mot_iou tracker
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvmultistreamtiler ! queue ! nvtracker tracker-width=240 tracker-height=200 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_iou.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/iou_config.txt ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink
Using mot_klt tracker
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvmultistreamtiler ! queue ! nvtracker tracker-width=240 tracker-height=200 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_klt.so ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
Detection (primary) + tracker + car color classification (Secondary)
Using rtsp
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_carcolor.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_CarColor/resnet18.caffemodel_b16_int8.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
- Output

Using mp4 file
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_carcolor.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_CarColor/resnet18.caffemodel_b16_int8.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
- Output

Detection (primary) + tracker + car make classification (Secondary)
Using rtsp
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_carmake.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_CarMake/resnet18.caffemodel_b16_int8.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
- Output

Using mp4 file
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_carmake.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_CarMake/resnet18.caffemodel_b16_int8.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
- Output

Detection (primary) + tracker + car type classification (Secondary)
Using rtsp
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_vehicletypes.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_VehicleTypes/resnet18.caffemodel_b16_int8.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
- Output

Using mp4 file
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector/resnet10.caffemodel_b30_int8.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_vehicletypes.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_VehicleTypes/resnet18.caffemodel_b16_int8.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
- Output

Nano
The pipelines of rtsp and crop are the same as before.
Detection
Detection (primary) + overlay
Using rtsp
gst-launch-1.0 uridecodebin3 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
Using mp4 file
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
Detection (primary) + tracker
- If using the followin link you get a red screen check this link: Red screen with "vid_rend: syncpoint wait timeout"
Using rtsp
Using mot_iou tracker
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvmultistreamtiler ! queue ! nvtracker tracker-width=240 tracker-height=200 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_iou.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/iou_config.txt ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink
Using mot_klt tracker
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvmultistreamtiler ! queue ! nvtracker tracker-width=240 tracker-height=200 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_klt.so ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
Using mp4 file
Using mot_iou tracker
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvmultistreamtiler ! queue ! nvtracker tracker-width=240 tracker-height=200 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_iou.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/iou_config.txt ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink
Using mot_klt tracker
gst-launch-1.0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1280 height=720 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvmultistreamtiler ! queue ! nvtracker tracker-width=240 tracker-height=200 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_mot_klt.so ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
Detection (primary) + tracker + car color classification (Secondary)
Using rtsp
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_carcolor.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_CarColor/resnet18.caffemodel_b16_fp16.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
Using mp4 file
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_carcolor.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_CarColor/resnet18.caffemodel_b16_fp16.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
Detection (primary) + tracker + car make classification (Secondary)
Using rtsp
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_carmake.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_CarMake/resnet18.caffemodel_b16_fp16.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
Using mp4 file
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_carmake.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_CarMake/resnet18.caffemodel_b16_fp16.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
Detection (primary) + tracker + car type classification (Secondary)
Using rtsp
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h265.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_vehicletypes.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_VehicleTypes/resnet18.caffemodel_b16_f16.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
Using mp4 file
gstd-client pipeline_create p0 uridecodebin3 uri="file:///opt/nvidia/deepstream/deepstream-4.0/samples/streams/sample_1080p_h264.mp4" ! queue ! nvstreammux0.sink_0 nvstreammux name=nvstreammux0 batch-size=1 batched-push-timeout=40000 width=1920 height=1080 live-source=TRUE ! queue ! nvvideoconvert ! queue ! nvinfer name=nvinfer1 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_primary_nano.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Primary_Detector_Nano/resnet10.caffemodel_b8_fp16.engine" ! queue ! nvtracker tracker-width=640 tracker-height=368 ll-lib-file=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_nvdcf.so ll-config-file=/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/tracker_config.yml enable-batch-process=1 ! queue ! nvinfer name=nvinfer2 process-mode=secondary infer-on-gie-id=1 infer-on-class-ids="0:" batch-size=16 config-file-path="/opt/nvidia/deepstream/deepstream-4.0/samples/configs/deepstream-app/config_infer_secondary_vehicletypes.txt" model-engine-file="/opt/nvidia/deepstream/deepstream-4.0/samples/models/Secondary_VehicleTypes/resnet18.caffemodel_b16_f16.engine" ! queue ! nvdsosd process-mode=HW_MODE ! queue ! nvoverlaysink sync=false
gstd-client element_set p0 nvinfer1 unique-id 1
gstd-client element_set p0 nvinfer2 unique-id 2
gstd-client pipeline_play p0
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