embeded/raspberry pi2022. 6. 20. 14:42

industrial io(iio)

The mcp320x driver interface is through sysfs.
The first device will be found here /sys/bus/iio/devices/iio:device0

# ls /sys/bus/iio/devices/iio\:device0
dev                       in_voltage2-voltage3_raw  in_voltage5_raw           name
in_voltage-voltage_scale  in_voltage2_raw           in_voltage6-voltage7_raw  of_node
in_voltage0-voltage1_raw  in_voltage3_raw           in_voltage6_raw           power
in_voltage0_raw           in_voltage4-voltage5_raw  in_voltage7_raw           subsystem
in_voltage1_raw           in_voltage4_raw           in_voltage_scale          uevent

# cat /sys/bus/iio/devices/iio\:device0/in_voltage0_raw
514

[링크 : https://jumpnowtek.com/rpi/Using-mcp3008-ADCs-with-Raspberry-Pis.html]


[링크 :
https://github.com/scottellis/mcp3008-poll/blob/master/mcp3008-poll.c]

[링크 : https://github.com/scottellis/mcp3008-poll]

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embeded/raspberry pi2022. 5. 25. 12:25

음.. 10만원 근처인데 개인적인 취향은 아니라 패스~ 하는걸로

 

사이즈는 텐키리스

 

Raspberry Pi 400 이라는 모델. 영국내 제조인 듯.

 

LAN도 넣어두고는 저 놈의 USB는 왜 일렬로 해서 -_-

차라리 USB 3.0은 세로로 두개 하고 한개는 full size HDMI 해주지! 라는 아쉬움이 드는 설계 -_ㅠ

 

 

귀찮아서(!) 라즈베리 4 64bit OS 설치해 놓은걸로 두세번 부팅하니 켜지긴 한데

그게 HDMI 0번에 연결하지 않아 발생한 문제인진 모르겠다.

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embeded/jetson2022. 4. 22. 15:34

deepstream 6.0 부터 NHWC 네트워크 입력을 지원한다고 한다.

그런데 이 NHWC가 먼지 몰라서 헤매는 중...

그러니까.. 이전에는 NHWC는 지원하지 않았으니 NCHW만 지원했던건가?

Support for NHWC network input DS 6.0

 

nvinfer 모듈에서 NCHW가 언급되는 항목은 아래와 같은데

입력 레이어, 출력 레이어의 순서 그리고 uff 관련 입력 차원/순서에 대한 내용인데..

UFF 안쓰면 network-input-order와 segmentation-output-order만 보면 될 것 같긴하다.

network-input-order Order of the network input layer (ignored if input-tensor-meta enabled) Integer 0:NCHW 1:NHWC network-input-order=1 All
Both
segmentation-output-order Segmentation network output layer order Integer 0: NCHW 1: NHWC segmentation-output-order=1 Segmentation
Both
uff-input-dims DEPRECATED. Use infer-dims and uff-input-order instead.
Dimensions of the UFF model
channel; height; width; input-order All integers, ≥0 input-dims=3;224;224;0
Possible values for input-order are:
0: NCHW
1: NHWC
All
Both

 

uff-input-order UFF input layer order Integer 0: NCHW 1: NHWC 2: NC uff-input-order=1 All
Both

[링크 : https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_plugin_gst-nvinfer.html]

 

conv 연산시 nhwc가 nchw에 비해서 빠르다고 하는데 데이터 순서에 따른 인접성 때문에 그런가?

[링크 : https://moon-walker.medium.com/train-faster-텐서플로우-성능-최적화-기법-d67d3faee959]

 

약어는 아래와 같다고.

N: number of images in the batch
H: height of the image
W: width of the image
C: number of channels of the image (ex: 3 for RGB, 1 for grayscale...)

[링크 : https://stackoverflow.com/questions/37689423/convert-between-nhwc-and-nchw-in-tensorflow]

[링크 : https://code-examples.net/ko/q/23f184f]

 

일단.. deepstream 에서 받아들이는 텐서는 3x320x320 인데

INFO: [Implicit Engine Info]: layers num: 4
0   INPUT  kFLOAT image_tensor    3x320x320
1   OUTPUT kHALF  detected_boxes  256x4
2   OUTPUT kINT32 detected_classes 256
3   OUTPUT kHALF  detected_scores 256

 

NCHW를 NHWC로 바꾸니까

1x3x320x320 으로 들어올 것이

1x320x320x3 으로 들어오는지 범위를 벗어났다고 경고를 띄운다.

WARNING: Backend context bufferIdx(0) request dims:1x320x320x3 is out of range, [min: 1x3x320x320, max: 1x3x320x320]
ERROR: [TRT]: 4: [network.cpp::validate::2959] Error Code 4: Internal Error (image_tensor: for dimension number 1 in profile 0 does not match network definition (got min=320, opt=320, max=320), expected min=opt=max=3).)
ERROR: Build engine failed from config file
ERROR: failed to build trt engine.
0:00:05.708555452 30995     0x2a01fa70 ERROR                nvinfer gstnvinfer.cpp:632:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1934> [UID = 1]: build engine file failed
0:00:05.713238769 30995     0x2a01fa70 ERROR                nvinfer gstnvinfer.cpp:632:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2020> [UID = 1]: build backend context failed
0:00:05.713377574 30995     0x2a01fa70 ERROR                nvinfer gstnvinfer.cpp:632:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::initialize() <nvdsinfer_context_impl.cpp:1257> [UID = 1]: generate backend failed, check config file settings
** ERROR: <main:707>: Failed to set pipeline to PAUSED
Quitting
ERROR from primary_gie: Failed to create NvDsInferContext instance
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(841): gst_nvinfer_start (): /GstPipeline:pipeline/GstBin:primary_gie_bin/GstNvInfer:primary_gie:
Config file path: /opt/nvidia/deepstream/deepstream-6.0/sources/objectDetector_SSD/config_infer_primary_ssd.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED

 

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embeded/jetson2022. 4. 21. 11:54

ETS320 장비를 jetson nano에 연결하니 스토리지와 v4l/uvc 장비로 인식이 되는 것 같다.

$ dmesg
[264102.798221] usb 1-2.3: new high-speed USB device number 5 using tegra-xusb
[264102.825756] usb 1-2.3: New USB device found, idVendor=09cb, idProduct=1007
[264102.825770] usb 1-2.3: New USB device strings: Mfr=7, Product=8, SerialNumber=0
[264102.825780] usb 1-2.3: Product: FLIR Ex-Series
[264102.825790] usb 1-2.3: Manufacturer: FLIR Systems
[264102.852306] uvcvideo: Unknown video format 304d3746-0000-0010-8000-00aa00389b71
[264102.852439] uvcvideo: Found UVC 1.00 device FLIR Ex-Series (09cb:1007)
[264108.030765] uvcvideo: UVC non compliance - GET_DEF(PROBE) not supported. Enabling workaround.
[264108.034120] uvcvideo 1-2.3:1.0: Entity type for entity Extension 6 was not initialized!
[264108.042461] uvcvideo 1-2.3:1.0: Entity type for entity Processing 5 was not initialized!
[264108.050726] uvcvideo 1-2.3:1.0: Entity type for entity Selector 4 was not initialized!
[264108.058830] uvcvideo 1-2.3:1.0: Entity type for entity Camera 1 was not initialized!
[264108.067201] input: FLIR Ex-Series as /devices/70090000.xusb/usb1/1-2/1-2.3/1-2.3:1.0/input/input4
[264108.067689] usb-storage 1-2.3:1.2: USB Mass Storage device detected
[264108.067964] scsi host0: usb-storage 1-2.3:1.2
[264109.087991] scsi 0:0:0:0: Direct-Access     FLIR     Removable        1.00 PQ: 0 ANSI: 0
[264109.100246] sd 0:0:0:0: [sda] 89664 2048-byte logical blocks: (184 MB/175 MiB)
[264109.110068] sd 0:0:0:0: [sda] Write Protect is off
[264109.115117] sd 0:0:0:0: [sda] Mode Sense: 00 06 00 00
[264109.116447] sd 0:0:0:0: [sda] Asking for cache data failed
[264109.122082] sd 0:0:0:0: [sda] Assuming drive cache: write through
[264109.151779]  sda:
[264109.170721] sd 0:0:0:0: [sda] Attached SCSI removable disk

 

젯슨 나노 하나 전체를 찍을 만큼의 배율과 촛점 거리는 안되는 듯..

[링크 : https://www.flirkorea.com/products/ets320]

 

사용자 설명서를 보니 FOV 고정, 촛점거리 7cm 로 고정 -_ㅠ

영상은 초당 9프레임

 

하지만 UVC 상에서는 15프레임으로 프레임이 변경되는 듯.

$ v4l2-ctl -d /dev/video1 --list-formats-ext
ioctl: VIDIOC_ENUM_FMT
        Index       : 0
        Type        : Video Capture
        Pixel Format: 'YUYV'
        Name        : YUYV 4:2:2
                Size: Discrete 320x240
                        Interval: Discrete 0.067s (15.000 fps)
                        Interval: Discrete 0.133s (7.500 fps)
                        Interval: Discrete 0.267s (3.750 fps)

        Index       : 1
        Type        : Video Capture
        Pixel Format: ''
        Name        : 304d3746-0000-0010-8000-00aa003
                Size: Discrete 320x246
                        Interval: Discrete 0.067s (15.000 fps)
                        Interval: Discrete 0.133s (7.500 fps)
                        Interval: Discrete 0.267s (3.750 fps)

 

와.. 가격 미친.. 예상보다 2배.. ㄷㄷ

[링크 : http://prod.danawa.com/info/?pcode=5595571]

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embeded/jetson2022. 4. 19. 15:22

primary / secondary가 먼가 했더니..

한번 분석한걸 tracker를 거쳐 한번 더 분류하는 식으로 구성이 가능하도록 되어 있었기에 그런식으로 표현한 듯.

 

nvtracker는 openCV 기반이라 쓸 일은 없을 것 같고..

nvmultistreamtiler 가 nvstreammux 을 통해 받은 영상을 tile 구조로 mux 해서 출력해주고

nvosd가 nvinfer의 결과값을 받아 이름과 박스를 쳐주는 듯.




  • The Stream Muxer plugin (Gst-nvstreammux) to form a batch of buffers from multiple input sources.
  • The Preprocess plugin (Gst-nvdspreprocess) for preprocessing on the pre-defined ROIs for primary inferencing.
  • The NVIDIA TensorRT™ based plugin (Gst-nvinfer) for primary and secondary (attribute classification of primary objects) detection and classification respectively.
  • The OpenCV based tracker plugin (Gst-nvtracker) for object tracking with unique ID.
  • The Multi Stream Tiler plugin (Gst-nvmultistreamtiler) for forming 2D array of frames.
  • The Onscreen Display (OSD) plugin (Gst-nvdsosd) to draw shaded boxes, rectangles and text on the composited frame using the generated metadata.
  • The Message Converter (Gst-nvmsgconv) and Message Broker (Gst-nvmsgbroker) plugins in combination to send analytics data to a server in the Cloud.

[링크 : https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_ref_app_deepstream.html]

 

$ unset DISPLAY
$ gst-inspect-1.0  | grep ^nv
nvarguscamerasrc:  nvarguscamerasrc: NvArgusCameraSrc
nvdsgst_deepstream_bins:  nvinferbin: NvInfer Bin
nvdsgst_deepstream_bins:  nvinferserverbin: NvInferServer Bin
nvdsgst_deepstream_bins:  nvosdbin: NvOsd Bin
nvdsgst_deepstream_bins:  nvdewarperbin: NvDewarper Bin
nvdsgst_deepstream_bins:  nvtilerbin: NvTiler Bin
nvdsgst_deepstream_bins:  nvtrackerbin: NvTracker Bin
nvdsgst_deepstream_bins:  nvurisrcbin: NvUriSrc Bin
nvdsgst_deepstream_bins:  nvcamerasrcbin: NvCameraSrc Bin
nvdsgst_deepstream_bins:  nvanalyticsbin: NvAnalytics Bin
nvdsgst_deepstream_bins:  nvvideorenderersinkbin: NvVideoRenderer Bin
nvdsgst_deepstream_bins:  nvvideoencfilesinkbin: NvVideoEncFilesink Bin
nvdsgst_deepstream_bins:  nvrtspoutsinkbin: NvRtspOut Bin
nvdsgst_deepstream_bins:  nvmsgbrokersinkbin: NvMsgBroker Bin
nvdsgst_deepstream_bins:  nvdsbuffersyncbin: NvBufferSync Bin
nvdsgst_ofvisual:  nvofvisual: nvofvisual
nvdsgst_inferaudio:  nvinferaudio: NvInfer Audio plugin
nvdsgst_videotemplate:  nvdsvideotemplate: NvDsVideoTemplate plugin for Transform/In-Place use-cases
nvdsgst_msgconv:  nvmsgconv: Message Converter
nvdsgst_multistream:  nvstreammux: Stream multiplexer
nvdsgst_multistream:  nvstreamdemux: Stream demultiplexer
nvdsgst_multistreamtiler:  nvmultistreamtiler: Stream Tiler DS
nvdsgst_segvisual:  nvsegvisual: nvsegvisual
nvdsgst_osd:  nvdsosd: NvDsOsd plugin
nvdsgst_logger:  nvdslogger: Nvdslogger
nvdsgst_infer:  nvinfer: NvInfer plugin
nvdsgst_dewarper:  nvdewarper: nvdewarper
nvdsgst_dsexample:  dsexample: DsExample plugin
nvdsgst_of:  nvof: nvof
nvdsgst_dsanalytics:  nvdsanalytics: DsAnalytics plugin
nvdsgst_audiotemplate:  nvdsaudiotemplate: DS AUDIO template Plugin for Transform IP use-cases
nvdsgst_msgbroker:  nvmsgbroker: Message Broker
nvdsgst_tracker:  nvtracker: NvTracker plugin
nvvideoconvert:  nvvideoconvert: NvVidConv Plugin
nvdsgst_preprocess:  nvdspreprocess: gst-nvdspreprocess plugin
nvvideosink:  nvvideosink: nVidia Video Sink
nvtee:  nvtee: NvTee
nvegltransform:  nvegltransform: NvEGLTransform
nveglglessink:  nveglglessink: EGL/GLES vout Sink
nvvideo4linux2:  nvv4l2decoder: NVIDIA v4l2 video decoder
nvvideo4linux2:  nvv4l2h264enc: V4L2 H.264 Encoder
nvvideo4linux2:  nvv4l2h265enc: V4L2 H.265 Encoder
nvvideo4linux2:  nvv4l2vp8enc: V4L2 VP8 Encoder
nvvideo4linux2:  nvv4l2vp9enc: V4L2 VP9 Encoder
nvvideocuda:  videocuda: CUDA Post processor
nvivafilter:  nvivafilter: NvIVAFilter Plugin
nvcompositor:  nvcompositor: NvCompositor
nvvideosinks:  nv3dsink: Nvidia 3D sink
nveglstreamsrc:  nveglstreamsrc: nVidia EGL Stream
nvvidconv:  nvvidconv: NvVidConv Plugin
nvv4l2camerasrc:  nvv4l2camerasrc: NvV4l2CameraSrc
nvdrmvideosink:  nvdrmvideosink: Nvidia Drm Video Sink
nvjpeg:  nvjpegenc: JPEG image encoder
nvjpeg:  nvjpegdec: JPEG image decoder

 

모듈별 설명

$ gst-inspect-1.0 nvstreammux
Factory Details:
  Rank                     primary (256)
  Long-name                Stream multiplexer
  Klass                    Generic
  Description              N-to-1 pipe stream multiplexing
  Author                   NVIDIA Corporation. Post on Deepstream for Tesla forum for any queries @ https://devtalk.nvidia.com/default/board/209/

Plugin Details:
  Name                     nvdsgst_multistream
  Description              NVIDIA Multistream mux/demux plugin
  Filename                 /usr/lib/aarch64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_multistream.so
  Version                  6.0.1
  License                  Proprietary
  Source module            nvmultistream
  Binary package           NVIDIA Multistream Plugins
  Origin URL               http://nvidia.com/

GObject
 +----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstNvStreamMux

Pad Templates:
  SINK template: 'sink_%u'
    Availability: On request
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)NV12, (string)RGBA, (string)I420 }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

  SRC template: 'src'
    Availability: Always
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)NV12, (string)RGBA, (string)I420 }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

Element has no clocking capabilities.
Element has no URI handling capabilities.

Pads:
  SRC: 'src'
    Pad Template: 'src'

Element Properties:
  name                : The name of the object
                        flags: readable, writable
                        String. Default: "nvstreammux0"
  parent              : The parent of the object
                        flags: readable, writable
                        Object of type "GstObject"
  batch-size          : Maximum number of buffers in a batch
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 1024 Default: 0
  batched-push-timeout: Timeout in microseconds to wait after the first buffer is available
                        to push the batch even if the complete batch is not formed.
                        Set to -1 to wait infinitely
                        flags: readable, writable
                        Integer. Range: -1 - 2147483647 Default: -1
  width               : Width of each frame in output batched buffer. This property MUST be set.
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  height              : Height of each frame in output batched buffer. This property MUST be set.
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  enable-padding      : Maintain input aspect ratio when scaling by padding with black bands.
                        flags: readable, writable
                        Boolean. Default: false
  gpu-id              : Set GPU Device ID
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  live-source         : Boolean property to inform muxer that sources are live.
                        flags: readable, writable
                        Boolean. Default: false
  num-surfaces-per-frame: Max number of surfaces per frame
                        flags: readable, writable
                        Unsigned Integer. Range: 1 - 4 Default: 1
  nvbuf-memory-type   : Type of NvBufSurface Memory to be allocated for output buffers
                        flags: readable, writable, changeable only in NULL or READY state
                        Enum "GstNvBufMemoryType" Default: 0, "nvbuf-mem-default"
                           (0): nvbuf-mem-default - Default memory allocated, specific to particular platform
                           (1): nvbuf-mem-cuda-pinned - Allocate Pinned/Host cuda memory
                           (2): nvbuf-mem-cuda-device - Allocate Device cuda memory
                           (3): nvbuf-mem-cuda-unified - Allocate Unified cuda memory
                           (4): nvbuf-mem-surface-array - Allocate Surface Array memory, applicable for Jetson
  compute-hw          : Compute Scaling HW
                        flags: readable, writable, controllable
                        Enum "GstNvComputeHWType" Default: 0, "Default"
                           (0): Default          - Default, GPU for Tesla, VIC for Jetson
                           (1): GPU              - GPU
                           (2): VIC              - VIC
  interpolation-method: Set interpolation methods
                        flags: readable, writable, controllable
                        Enum "GstNvInterpolationMethod" Default: 1, "Bilinear"
                           (0): Nearest          - Nearest
                           (1): Bilinear         - Bilinear
                           (2): Algo-1           - GPU - Cubic, VIC - 5 Tap
                           (3): Algo-2           - GPU - Super, VIC - 10 Tap
                           (4): Algo-3           - GPU - LanzoS, VIC - Smart
                           (5): Algo-4           - GPU - Ignored, VIC - Nicest
                           (6): Default          - GPU - Nearest, VIC - Nearest
  buffer-pool-size    : Maximum number of buffers from muxer's output pool
                        flags: readable, writable
                        Unsigned Integer. Range: 4 - 1024 Default: 4
  attach-sys-ts       : If set to TRUE, system timestamp will be attached as ntp timestamp.
                        If set to FALSE, ntp timestamp from rtspsrc, if available, will be attached.
                        flags: readable, writable
                        Boolean. Default: true
  sync-inputs         : Boolean property to force sychronization of input frames.
                        flags: readable, writable
                        Boolean. Default: false
  max-latency         : Additional latency in live mode to allow upstream to take longer to produce buffers for the current position (in nanoseconds)
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  frame-num-reset-on-eos: Reset frame numbers to 0 for a source from which EOS is received (For debugging purpose only)
                        flags: readable, writable
                        Boolean. Default: false

 

$ gst-inspect-1.0 nvinfer
Factory Details:
  Rank                     primary (256)
  Long-name                NvInfer plugin
  Klass                    NvInfer Plugin
  Description              Nvidia DeepStreamSDK TensorRT plugin
  Author                   NVIDIA Corporation. Deepstream for Tesla forum: https://devtalk.nvidia.com/default/board/209

Plugin Details:
  Name                     nvdsgst_infer
  Description              NVIDIA DeepStreamSDK TensorRT plugin
  Filename                 /usr/lib/aarch64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_infer.so
  Version                  6.0.1
  License                  Proprietary
  Source module            nvinfer
  Binary package           NVIDIA DeepStreamSDK TensorRT plugin
  Origin URL               http://nvidia.com/

GObject
 +----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstBaseTransform
                         +----GstNvInfer

Pad Templates:
  SRC template: 'src'
    Availability: Always
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)NV12, (string)RGBA }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

  SINK template: 'sink'
    Availability: Always
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)NV12, (string)RGBA }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

Element has no clocking capabilities.
Element has no URI handling capabilities.

Pads:
  SINK: 'sink'
    Pad Template: 'sink'
  SRC: 'src'
    Pad Template: 'src'

Element Properties:
  name                : The name of the object
                        flags: readable, writable
                        String. Default: "nvinfer0"
  parent              : The parent of the object
                        flags: readable, writable
                        Object of type "GstObject"
  qos                 : Handle Quality-of-Service events
                        flags: readable, writable
                        Boolean. Default: false
  unique-id           : Unique ID for the element. Can be used to identify output of the element
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 15
  process-mode        : Infer processing mode
                        flags: readable, writable, changeable only in NULL or READY state
                        Enum "GstNvInferProcessModeType" Default: 1, "primary"
                           (1): primary          - Primary (Full Frame)
                           (2): secondary        - Secondary (Objects)
  config-file-path    : Path to the configuration file for this instance of nvinfer
                        flags: readable, writable, changeable in NULL, READY, PAUSED or PLAYING state
                        String. Default: ""
  infer-on-gie-id     : Infer on metadata generated by GIE with this unique ID.
                        Set to -1 to infer on all metadata.
                        flags: readable, writable, changeable only in NULL or READY state
                        Integer. Range: -1 - 2147483647 Default: -1
  infer-on-class-ids  : Operate on objects with specified class ids
                        Use string with values of class ids in ClassID (int) to set the property.
                         e.g. 0:2:3
                        flags: readable, writable, changeable only in NULL or READY state
                        String. Default: ""
  filter-out-class-ids: Ignore metadata for objects of specified class ids
                        Use string with values of class ids in ClassID (int) to set the property.
                         e.g. 0;2;3
                        flags: readable, writable, changeable only in NULL or READY state
                        String. Default: ""
  model-engine-file   : Absolute path to the pre-generated serialized engine file for the model
                        flags: readable, writable, changeable in NULL, READY, PAUSED or PLAYING state
                        String. Default: ""
  batch-size          : Maximum batch size for inference
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 1 - 1024 Default: 1
  interval            : Specifies number of consecutive batches to be skipped for inference
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 2147483647 Default: 0
  gpu-id              : Set GPU Device ID
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  raw-output-file-write: Write raw inference output to file
                        flags: readable, writable, changeable only in NULL or READY state
                        Boolean. Default: false
  raw-output-generated-callback: Pointer to the raw output generated callback funtion
                        (type: gst_nvinfer_raw_output_generated_callback in 'gstnvdsinfer.h')
                        flags: readable, writable, changeable only in NULL or READY state
                        Pointer.
  raw-output-generated-userdata: Pointer to the userdata to be supplied with raw output generated callback
                        flags: readable, writable, changeable only in NULL or READY state
                        Pointer.
  output-tensor-meta  : Attach inference tensor outputs as buffer metadata
                        flags: readable, writable, changeable only in NULL or READY state
                        Boolean. Default: false
  output-instance-mask: Instance mask expected in network output and attach it to metadata
                        flags: readable, writable, changeable only in NULL or READY state
                        Boolean. Default: false
  input-tensor-meta   : Use preprocessed input tensors attached as metadata instead of preprocessing inside the plugin
                        flags: readable, writable, changeable only in NULL or READY state
                        Boolean. Default: false

Element Signals:
  "model-updated" :  void user_function (GstElement* object,
                                         gint arg0,
                                         gchararray arg1,
                                         gpointer user_data);

 

deepstream_app_config.txt의 [primary-gie], [secondary-gie] 섹션

$ gst-inspect-1.0 nvtracker
Factory Details:
  Rank                     primary (256)
  Long-name                NvTracker plugin
  Klass                    NvTracker functionality
  Description              Gstreamer object tracking element
  Author                   NVIDIA Corporation. Post on Deepstream SDK forum for any queries @ https://devtalk.nvidia.com/default/board/209/

Plugin Details:
  Name                     nvdsgst_tracker
  Description              Gstreamer plugin to track the objects
  Filename                 /usr/lib/aarch64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_tracker.so
  Version                  6.0.1
  License                  Proprietary
  Source module            nvtracker
  Binary package           GStreamer nvtracker Plugin
  Origin URL               http://nvidia.com/

GObject
 +----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstBaseTransform
                         +----GstNvTracker

Pad Templates:
  SRC template: 'src'
    Availability: Always
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)I420, (string)NV12, (string)RGBA }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

  SINK template: 'sink'
    Availability: Always
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)I420, (string)NV12, (string)RGBA }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

Element has no clocking capabilities.
Element has no URI handling capabilities.

Pads:
  SINK: 'sink'
    Pad Template: 'sink'
  SRC: 'src'
    Pad Template: 'src'

Element Properties:
  name                : The name of the object
                        flags: readable, writable
                        String. Default: "nvtracker0"
  parent              : The parent of the object
                        flags: readable, writable
                        Object of type "GstObject"
  qos                 : Handle Quality-of-Service events
                        flags: readable, writable
                        Boolean. Default: false
  tracker-width       : Frame width at which the tracker should operate, in pixels
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 640
  tracker-height      : Frame height at which the tracker should operate, in pixels
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 384
  gpu-id              : Set GPU Device ID
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  ll-config-file      : Low-level library config file path
                        flags: readable, writable
                        String. Default: null
  ll-lib-file         : Low-level library file path
                        flags: readable, writable
                        String. Default: null
  enable-batch-process: Enable batch processing across multiple streams ?
                        flags: readable, writable
                        Boolean. Default: true
  enable-past-frame   : Enable adding past frame track into user meta ?
                        flags: readable, writable
                        Boolean. Default: false
  tracking-surface-type: Set Tracking Surface Type, default is ALL,        (1) => SPOT Surface, (2) => AISLE Surface
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  compute-hw          : Compute Scaling HW
                        flags: readable, writable, controllable
                        Enum "GstNvComputeHWType" Default: 0, "Default"
                           (0): Default          - Default, GPU for Tesla, VIC for Jetson
                           (1): GPU              - GPU
                           (2): VIC              - VIC
  display-tracking-id : Display tracking id in object text
                        flags: readable, writable
                        Boolean. Default: true
  tracking-id-reset-mode: Tracking ID reset mode when stream reset or EOS happens
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 3 Default: 1

 

deepstream_app_config.txt의 [tiled-display] 섹션

$ gst-inspect-1.0 nvmultistreamtiler
Factory Details:
  Rank                     primary (256)
  Long-name                Stream Tiler DS
  Klass                    Generic
  Description              Tile input multistream buffer into a 2D array
  Author                   NVIDIA Corporation. Post on Deepstream for Tesla forum for any queries @ https://devtalk.nvidia.com/default/board/209/

Plugin Details:
  Name                     nvdsgst_multistreamtiler
  Description              NVIDIA Multistream Tiler plugin
  Filename                 /usr/lib/aarch64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_multistreamtiler.so
  Version                  6.0.1
  License                  Proprietary
  Source module            nvmultistreamTiler
  Binary package           NVIDIA Multistream Plugins
  Origin URL               http://nvidia.com/

GObject
 +----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstBaseTransform
                         +----GstNvMultiStreamTiler

Pad Templates:
  SINK template: 'sink'
    Availability: Always
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)NV12, (string)RGBA, (string)I420 }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

  SRC template: 'src'
    Availability: Always
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)NV12, (string)RGBA, (string)I420 }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

Element has no clocking capabilities.
Element has no URI handling capabilities.

Pads:
  SINK: 'sink'
    Pad Template: 'sink'
  SRC: 'src'
    Pad Template: 'src'

Element Properties:
  name                : The name of the object
                        flags: readable, writable
                        String. Default: "nvmultistreamtiler0"
  parent              : The parent of the object
                        flags: readable, writable
                        Object of type "GstObject"
  qos                 : Handle Quality-of-Service events
                        flags: readable, writable
                        Boolean. Default: false
  columns             : Number of columns in the Tiled 2D output
                        flags: readable, writable
                        Unsigned Integer. Range: 1 - 4294967295 Default: 1
  rows                : Number of rows in the Tiled 2D output
                        flags: readable, writable
                        Unsigned Integer. Range: 1 - 4294967295 Default: 1
  width               : Width of the tiled output in pixels
                        flags: readable, writable
                        Unsigned Integer. Range: 16 - 4294967295 Default: 1920
  height              : Height of the tiled output in pixels
                        flags: readable, writable
                        Unsigned Integer. Range: 16 - 4294967295 Default: 1080
  gpu-id              : Set GPU Device ID
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  show-source         : ID of the source to be shown. If -1 all the sources will be tiled else only a single source will be scaled into the output buffer.
                        flags: readable, writable
                        Integer. Range: -1 - 2147483647 Default: -1
  nvbuf-memory-type   : Type of NvBufSurface Memory to be allocated for output buffers
                        flags: readable, writable, changeable only in NULL or READY state
                        Enum "GstNvBufMemoryType" Default: 0, "nvbuf-mem-default"
                           (0): nvbuf-mem-default - Default memory allocated, specific to particular platform
                           (1): nvbuf-mem-cuda-pinned - Allocate Pinned/Host cuda memory
                           (2): nvbuf-mem-cuda-device - Allocate Device cuda memory
                           (3): nvbuf-mem-cuda-unified - Allocate Unified cuda memory
                           (4): nvbuf-mem-surface-array - Allocate Surface Array memory, applicable for Jetson
  compute-hw          : Compute Scaling HW
                        flags: readable, writable, controllable
                        Enum "GstNvComputeHWType" Default: 0, "Default"
                           (0): Default          - Default, GPU for Tesla, VIC for Jetson
                           (1): GPU              - GPU
                           (2): VIC              - VIC
  interpolation-method: Set interpolation methods
                        flags: readable, writable, controllable
                        Enum "GstNvInterpolationMethod" Default: 6, "Default"
                           (0): Nearest          - Nearest
                           (1): Bilinear         - Bilinear
                           (2): Algo-1           - GPU - Cubic, VIC - 5 Tap
                           (3): Algo-2           - GPU - Super, VIC - 10 Tap
                           (4): Algo-3           - GPU - LanzoS, VIC - Smart
                           (5): Algo-4           - GPU - Ignored, VIC - Nicest
                           (6): Default          - GPU - Nearest, VIC - Nearest
  custom-tile-config  : Specifies individual tile resolution for all involved sources
                        flags: writable
                        Pointer. Write only

 

deepstream_app_config.txt의 [osd] 섹션

$ gst-inspect-1.0 nvdsosd
Factory Details:
  Rank                     primary (256)
  Long-name                NvDsOsd plugin
  Klass                    NvDsOsd functionality
  Description              Gstreamer bounding box draw element
  Author                   NVIDIA Corporation. Post on Deepstream for Tesla forum for any queries @ https://devtalk.nvidia.com/default/board/209/

Plugin Details:
  Name                     nvdsgst_osd
  Description              Gstreamer plugin to draw rectangles and text
  Filename                 /usr/lib/aarch64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_osd.so
  Version                  6.0.1
  License                  Proprietary
  Source module            nvdsosd
  Binary package           GStreamer nvosd Plugin
  Origin URL               http://nvidia.com/

GObject
 +----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstBaseTransform
                         +----GstNvDsOsd

Pad Templates:
  SRC template: 'src'
    Availability: Always
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)RGBA }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

  SINK template: 'sink'
    Availability: Always
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)RGBA }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

Element has no clocking capabilities.
Element has no URI handling capabilities.

Pads:
  SINK: 'sink'
    Pad Template: 'sink'
  SRC: 'src'
    Pad Template: 'src'

Element Properties:
  name                : The name of the object
                        flags: readable, writable
                        String. Default: "nvdsosd0"
  parent              : The parent of the object
                        flags: readable, writable
                        Object of type "GstObject"
  qos                 : Handle Quality-of-Service events
                        flags: readable, writable
                        Boolean. Default: false
  display-clock       : Whether to display clock
                        flags: readable, writable
                        Boolean. Default: false
  display-text        : Whether to display text
                        flags: readable, writable
                        Boolean. Default: true
  clock-font          : Clock Font to be set
                        flags: readable, writable
                        String. Default: null
  clock-font-size     : font size of the clock
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 60 Default: 0
  x-clock-offset      : x-clock-offset
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  y-clock-offset      : y-clock-offset
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  clock-color         : clock-color
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  process-mode        : Rect and text draw process mode
                        flags: readable, writable, changeable only in NULL or READY state
                        Enum "GstNvDsOsdMode" Default: 2, "HW_MODE"
                           (0): CPU_MODE         - CPU_MODE
                           (1): GPU_MODE         - GPU_MODE, yet to be implemented for Tegra
                           (2): HW_MODE          - HW_MODE. Only for Tegra. For rectdraw only.
  hw-blend-color-attr : color attributes for all classes,
                         Use string with values of color class atrributes
                         in ClassID (int), r(float), g(float), b(float), a(float)
                         in order to set the property.
                         Applicable only for HW mode on Jetson.
                         e.g. 0,0.0,1.0,0.0,0.3:1,1.0,0.0,0.3,0.3
                        flags: readable, writable
                        String. Default: "0,0.000000,0.000000,0.000000,0.000000:"
  gpu-id              : Set GPU Device ID
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  display-bbox        : Whether to display bounding boxes
                        flags: readable, writable
                        Boolean. Default: true
  display-mask        : Whether to display instance mask
                        flags: readable, writable
                        Boolean. Default: false

 

$ gst-inspect-1.0 nveglglessink
Factory Details:
  Rank                     secondary (128)
  Long-name                EGL/GLES vout Sink
  Klass                    Sink/Video
  Description              An EGL/GLES Video Output Sink Implementing the VideoOverlay interface
  Author                   Reynaldo H. Verdejo Pinochet <reynaldo@collabora.com>, Sebastian Dröge <sebastian.droege@collabora.co.uk>

Plugin Details:
  Name                     nveglglessink
  Description              EGL/GLES sink
  Filename                 /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnveglglessink.so
  Version                  1.2.3
  License                  LGPL
  Source module            gst-plugins-bad
  Source release date      2014-02-08
  Binary package           GStreamer Nvidia Bad Plug-ins source release
  Origin URL               Unknown package origin

GObject
 +----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstBaseSink
                         +----GstVideoSink
                               +----GstEglGlesSink

Implemented Interfaces:
  GstVideoOverlay

Pad Templates:
  SINK template: 'sink'
    Availability: Always
    Capabilities:
      video/x-raw(memory:EGLImage)
                 format: { (string)RGBA, (string)BGRA, (string)ARGB, (string)ABGR, (string)RGBx, (string)BGRx, (string)xRGB, (string)xBGR, (string)AYUV, (string)Y444, (string)I420, (string)YV12, (string)NV12, (string)NV21, (string)Y42B, (string)Y41B, (string)RGB, (string)BGR, (string)RGB16 }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]
      video/x-raw(meta:GstVideoGLTextureUploadMeta)
                 format: { (string)RGBA, (string)BGRA, (string)ARGB, (string)ABGR, (string)RGBx, (string)BGRx, (string)xRGB, (string)xBGR, (string)AYUV, (string)Y444, (string)I420, (string)YV12, (string)NV12, (string)NV21, (string)Y42B, (string)Y41B, (string)RGB, (string)BGR, (string)RGB16 }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]
      video/x-raw
                 format: { (string)RGBA, (string)BGRA, (string)ARGB, (string)ABGR, (string)RGBx, (string)BGRx, (string)xRGB, (string)xBGR, (string)AYUV, (string)Y444, (string)I420, (string)YV12, (string)NV12, (string)NV21, (string)Y42B, (string)Y41B, (string)RGB, (string)BGR, (string)RGB16 }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]
      video/x-raw(memory:NVMM)
                 format: { (string)BGRx, (string)RGBA, (string)I420, (string)NV12, (string)BGR, (string)RGB }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

Element has no clocking capabilities.
Element has no URI handling capabilities.

Pads:
  SINK: 'sink'
    Pad Template: 'sink'

Element Properties:
  name                : The name of the object
                        flags: readable, writable
                        String. Default: "eglglessink0"
  parent              : The parent of the object
                        flags: readable, writable
                        Object of type "GstObject"
  sync                : Sync on the clock
                        flags: readable, writable
                        Boolean. Default: true
  max-lateness        : Maximum number of nanoseconds that a buffer can be late before it is dropped (-1 unlimited)
                        flags: readable, writable
                        Integer64. Range: -1 - 9223372036854775807 Default: 20000000
  qos                 : Generate Quality-of-Service events upstream
                        flags: readable, writable
                        Boolean. Default: true
  async               : Go asynchronously to PAUSED
                        flags: readable, writable
                        Boolean. Default: true
  ts-offset           : Timestamp offset in nanoseconds
                        flags: readable, writable
                        Integer64. Range: -9223372036854775808 - 9223372036854775807 Default: 0
  enable-last-sample  : Enable the last-sample property
                        flags: readable, writable
                        Boolean. Default: true
  last-sample         : The last sample received in the sink
                        flags: readable
                        Boxed pointer of type "GstSample"
  blocksize           : Size in bytes to pull per buffer (0 = default)
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 4294967295 Default: 4096
  render-delay        : Additional render delay of the sink in nanoseconds
                        flags: readable, writable
                        Unsigned Integer64. Range: 0 - 18446744073709551615 Default: 0
  throttle-time       : The time to keep between rendered buffers (0 = disabled)
                        flags: readable, writable
                        Unsigned Integer64. Range: 0 - 18446744073709551615 Default: 0
  max-bitrate         : The maximum bits per second to render (0 = disabled)
                        flags: readable, writable
                        Unsigned Integer64. Range: 0 - 18446744073709551615 Default: 0
  show-preroll-frame  : Whether to render video frames during preroll
                        flags: readable, writable
                        Boolean. Default: true
  create-window       : If set to true, the sink will attempt to create it's own window to render to if none is provided. This is currently only supported when the sink is used under X11
                        flags: readable, writable
                        Boolean. Default: true
  force-aspect-ratio  : If set to true, the sink will attempt to preserve the incoming frame's geometry while scaling, taking both the storage's and display's pixel aspect ratio into account
                        flags: readable, writable
                        Boolean. Default: true
  display             : If set, the sink will use the passed X Display for rendering
                        flags: readable, writable
                        Pointer.
  window-x            : X coordinate of window
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 2147483647 Default: 10
  window-y            : Y coordinate of window
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 2147483647 Default: 10
  window-width        : Width of window
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 2147483647 Default: 0
  window-height       : Height of window
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 2147483647 Default: 0
  rows                : Rows of Display
                        flags: readable, writable
                        Unsigned Integer. Range: 1 - 2147483647 Default: 1
  columns             : Columns of display
                        flags: readable, writable
                        Unsigned Integer. Range: 1 - 2147483647 Default: 1
  profile             : gsteglglessink jitter information
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0
  winsys              : Takes in strings "x11" or "wayland" to specify the windowing system to be used
                        flags: readable, writable
                        String. Default: "x11"
  bufapi-version      : Set to use new buf API
                        flags: readable, writable
                        Boolean. Default: false

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Posted by 구차니

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embeded/jetson2022. 4. 18. 15:12

소스를 분석해보니

objectList에는 x,y,w,h 로 infercence 할 크기 기준으로 결과를 넣어주면 된다.

즉, x = output * width 식으로 계산해야 한다.

 

cat config_infer_primary_ssd.txt
num-detected-classes=91

위의 설정은 deepstream plugin의 아래 값으로 넘어옴
detectionParams.numClassesConfigured

 

 

$ gst-inspect-1.0 nvinfer
Factory Details:
  Rank                     primary (256)
  Long-name                NvInfer plugin
  Klass                    NvInfer Plugin
  Description              Nvidia DeepStreamSDK TensorRT plugin
  Author                   NVIDIA Corporation. Deepstream for Tesla forum: https://devtalk.nvidia.com/default/board/209

Plugin Details:
  Name                     nvdsgst_infer
  Description              NVIDIA DeepStreamSDK TensorRT plugin
  Filename                 /usr/lib/aarch64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_infer.so
  Version                  6.0.1
  License                  Proprietary
  Source module            nvinfer
  Binary package           NVIDIA DeepStreamSDK TensorRT plugin
  Origin URL               http://nvidia.com/

GObject
 +----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstBaseTransform
                         +----GstNvInfer

Pad Templates:
  SINK template: 'sink'
    Availability: Always
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)NV12, (string)RGBA }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]
  
  SRC template: 'src'
    Availability: Always
    Capabilities:
      video/x-raw(memory:NVMM)
                 format: { (string)NV12, (string)RGBA }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]

Element has no clocking capabilities.
Element has no URI handling capabilities.

Pads:
  SINK: 'sink'
    Pad Template: 'sink'
  SRC: 'src'
    Pad Template: 'src'

Element Properties:
  name                : The name of the object
                        flags: readable, writable
                        String. Default: "nvinfer0"
  parent              : The parent of the object
                        flags: readable, writable
                        Object of type "GstObject"
  qos                 : Handle Quality-of-Service events
                        flags: readable, writable
                        Boolean. Default: false
  unique-id           : Unique ID for the element. Can be used to identify output of the element
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 15 
  process-mode        : Infer processing mode
                        flags: readable, writable, changeable only in NULL or READY state
                        Enum "GstNvInferProcessModeType" Default: 1, "primary"
                           (1): primary          - Primary (Full Frame)
                           (2): secondary        - Secondary (Objects)
  config-file-path    : Path to the configuration file for this instance of nvinfer
                        flags: readable, writable, changeable in NULL, READY, PAUSED or PLAYING state
                        String. Default: ""
  infer-on-gie-id     : Infer on metadata generated by GIE with this unique ID.
Set to -1 to infer on all metadata.
                        flags: readable, writable, changeable only in NULL or READY state
                        Integer. Range: -1 - 2147483647 Default: -1 
  infer-on-class-ids  : Operate on objects with specified class ids
Use string with values of class ids in ClassID (int) to set the property.
 e.g. 0:2:3
                        flags: readable, writable, changeable only in NULL or READY state
                        String. Default: ""
  filter-out-class-ids: Ignore metadata for objects of specified class ids
Use string with values of class ids in ClassID (int) to set the property.
 e.g. 0;2;3
                        flags: readable, writable, changeable only in NULL or READY state
                        String. Default: ""
  model-engine-file   : Absolute path to the pre-generated serialized engine file for the model
                        flags: readable, writable, changeable in NULL, READY, PAUSED or PLAYING state
                        String. Default: ""
  batch-size          : Maximum batch size for inference
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 1 - 1024 Default: 1 
  interval            : Specifies number of consecutive batches to be skipped for inference
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 2147483647 Default: 0 
  gpu-id              : Set GPU Device ID
                        flags: readable, writable, changeable only in NULL or READY state
                        Unsigned Integer. Range: 0 - 4294967295 Default: 0 
  raw-output-file-write: Write raw inference output to file
                        flags: readable, writable, changeable only in NULL or READY state
                        Boolean. Default: false
  raw-output-generated-callback: Pointer to the raw output generated callback funtion
(type: gst_nvinfer_raw_output_generated_callback in 'gstnvdsinfer.h')
                        flags: readable, writable, changeable only in NULL or READY state
                        Pointer.
  raw-output-generated-userdata: Pointer to the userdata to be supplied with raw output generated callback
                        flags: readable, writable, changeable only in NULL or READY state
                        Pointer.
  output-tensor-meta  : Attach inference tensor outputs as buffer metadata
                        flags: readable, writable, changeable only in NULL or READY state
                        Boolean. Default: false
  output-instance-mask: Instance mask expected in network output and attach it to metadata
                        flags: readable, writable, changeable only in NULL or READY state
                        Boolean. Default: false
  input-tensor-meta   : Use preprocessed input tensors attached as metadata instead of preprocessing inside the plugin
                        flags: readable, writable, changeable only in NULL or READY state
                        Boolean. Default: false

Element Signals:
  "model-updated" :  void user_function (GstElement* object,
                                         gint arg0,
                                         gchararray arg1,
                                         gpointer user_data);

 

 

[링크 : https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_plugin_gst-nvinfer.html]

 

model-file (Caffe model)
proto-file (Caffe model)
uff-file (UFF models)
onnx-file (ONNX models)
model-engine-file, if already generated
int8-calib-file for INT8 mode
mean-file, if required
offsets, if required
maintain-aspect-ratio, if required
parse-bbox-func-name (detectors only)
parse-classifier-func-name (classifiers only)
custom-lib-path
output-blob-names (Caffe and UFF models)
network-type
model-color-format
process-mode
engine-create-func-name
infer-dims (UFF models)
uff-input-order (UFF models)

[링크 : https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_using_custom_model.html]

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Posted by 구차니

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embeded/jetson2022. 4. 15. 18:04

 

 

Pre-requisites:
- Copy the model's label file "ssd_coco_labels.txt" from the data/ssd directory
  in TensorRT samples to this directory.
- Steps to generate the UFF model from ssd_inception_v2_coco TensorFlow frozen
  graph. These steps have been referred from TensorRT sampleUffSSD README:
  1. Make sure TensorRT's uff-converter-tf package is installed.
  2. Install tensorflow-gpu package for python:
     For dGPU:
       $ pip install tensorflow-gpu
     For Jetson, refer to https://elinux.org/Jetson_Zoo#TensorFlow
  3. Download and untar the ssd_inception_v2_coco TensorFlow trained model from
     http://download.tensorflow.org/models/object_detection/ssd_inception_v2_coco_2017_11_17.tar.gz
  4. Navigate to the extracted directory and convert the frozen graph to uff:
     $ cd ssd_inception_v2_coco_2017_11_17
     $ python /usr/lib/python2.7/dist-packages/uff/bin/convert_to_uff.py \
         frozen_inference_graph.pb -O NMS \
         -p /usr/src/tensorrt/samples/sampleUffSSD/config.py \
         -o sample_ssd_relu6.uff
  5. Copy sample_ssd_relu6.uff to this directory.
$ python3 /usr/lib/python3.6/dist-packages/uff/bin/convert_to_uff.py

[링크 : https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_FAQ.html]

 

변환해서 netron.app 에서 보니 읭... output 이름이 NMS

타입과 텐서 차원이 안보인다?

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embeded/jetson2022. 4. 15. 17:14

 

 

[링크 : https://docs.nvidia.com/metropolis/deepstream/sdk-api/nvdsinfer__custom__impl_8h.html]

 

NvDsInferLayerInfo Struct

[링크 : https://docs.nvidia.com/metropolis/deepstream/sdk-api/structNvDsInferLayerInfo.html]

 

 

 

   45 typedef struct
   46 {
   48   unsigned int numDims;
   50   unsigned int d[NVDSINFER_MAX_DIMS];
   52   unsigned int numElements;
   53 } NvDsInferDims;

   71 typedef enum
   72 {
   74   FLOAT = 0,
   76   HALF = 1,
   78   INT8 = 2,
   80   INT32 = 3
   81 } NvDsInferDataType;

   86 typedef struct
   87 {
   89   NvDsInferDataType dataType;
   91   union {
   92       NvDsInferDims inferDims;
   93       NvDsInferDims dims _DS_DEPRECATED_("dims is deprecated. Use inferDims instead");
   94   };
   96   int bindingIndex;
   98   const char* layerName;
  100   void *buffer;
  103   int isInput;
  104 } NvDsInferLayerInfo;

[링크 : https://docs.nvidia.com/metropolis/deepstream/sdk-api/nvdsinfer_8h_source.html]

[링크 : https://docs.nvidia.com/metropolis/deepstream/sdk-api/group__ee__nvinf.html#ga6a35747b3bb45d13db9be3a2aa981e49]

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embeded/jetson2022. 4. 13. 15:39

netron 웹 버전에서 받아서 보는 중

 

받아볼 녀석은 아래의 링크이고..

[링크 : http://download.tensorflow.org/models/object_detection/ssd_inception_v2_coco_2017_11_17.tar.gz]

 

어떤 이름의 레이어에서 출력을 내주는지 한번 찾아보는 중

크게 4개인 것 같고 명칭은 아래와 같은데..

detection_boxes, detection_scores, detection_classes, num_detections

detection_boxes의 경우 4개 좌표로 나와있을줄 알았는데 단순히 float32라고만 되어있어서 멘붕..

 

 

 

 

 

 

 

 

 

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embeded/jetson2022. 4. 13. 11:48

코드 기본 구조만 남기고 상세 코드는 분석을 위해 삭제

$ cat nvdsiplugin_ssd.cpp
#include "NvInferPlugin.h"
#include <vector>
#include "cuda_runtime_api.h"
#include <cassert>
#include <cublas_v2.h>
#include <functional>
#include <numeric>
#include <algorithm>
#include <iostream>

using namespace nvinfer1;

class FlattenConcat : public IPluginV2
{
public:
    FlattenConcat(int concatAxis, bool ignoreBatch)
        : mIgnoreBatch(ignoreBatch)
        , mConcatAxisID(concatAxis)
    {
        assert(mConcatAxisID == 1 || mConcatAxisID == 2 || mConcatAxisID == 3);
    }
    //clone constructor
    FlattenConcat(int concatAxis, bool ignoreBatch, int numInputs, int outputConcatAxis, int* inputConcatAxis)
        : mIgnoreBatch(ignoreBatch)
        , mConcatAxisID(concatAxis)
        , mOutputConcatAxis(outputConcatAxis)
        , mNumInputs(numInputs)
    {
        CHECK(cudaMallocHost((void**) &mInputConcatAxis, mNumInputs * sizeof(int)));
        for (int i = 0; i < mNumInputs; ++i)
            mInputConcatAxis[i] = inputConcatAxis[i];
    }

    FlattenConcat(const void* data, size_t length)     {    }
    ~FlattenConcat()    {    }
    int getNbOutputs() const noexcept override { return 1; }
    Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) noexcept override    {    }
    int initialize() noexcept override    {    }
    void terminate() noexcept override    {    }
    size_t getWorkspaceSize(int) const noexcept override { return 0; }
    int enqueue(int batchSize, void const* const* inputs, void* const* outputs, void*, cudaStream_t stream) noexcept override    {    }
    size_t getSerializationSize() const noexcept override   {    }
    void serialize(void* buffer) const noexcept override    {   }
    void configureWithFormat(const Dims* inputs, int nbInputs, const Dims* outputDims, int nbOutputs, nvinfer1::DataType type, nvinfer1::PluginFormat format, int maxBatchSize) noexcept override   {    }
    bool supportsFormat(DataType type, PluginFormat format) const noexcept override    {    }
    const char* getPluginType() const noexcept override { return "FlattenConcat_TRT"; }
    const char* getPluginVersion() const noexcept override { return "1"; }
    void destroy() noexcept override { delete this; }
    IPluginV2* clone() const noexcept override    {    }
    void setPluginNamespace(const char* libNamespace) noexcept override { mNamespace = libNamespace; }
    const char* getPluginNamespace() const noexcept override { return mNamespace.c_str(); }

private:
    template <typename T>    void write(char*& buffer, const T& val) const    {    }
    template <typename T>    T read(const char*& buffer)    {    }
    size_t* mCopySize = nullptr;
    bool mIgnoreBatch{false};
    int mConcatAxisID{0}, mOutputConcatAxis{0}, mNumInputs{0};
    int* mInputConcatAxis = nullptr;
    nvinfer1::Dims mCHW;
    cublasHandle_t mCublas;
    std::string mNamespace;
};

namespace
{
const char* FLATTENCONCAT_PLUGIN_VERSION{"1"};
const char* FLATTENCONCAT_PLUGIN_NAME{"FlattenConcat_TRT"};
} // namespace

class FlattenConcatPluginCreator : public IPluginCreator
{
public:
    FlattenConcatPluginCreator()
    {
        mPluginAttributes.emplace_back(PluginField("axis", nullptr, PluginFieldType::kINT32, 1));
        mPluginAttributes.emplace_back(PluginField("ignoreBatch", nullptr, PluginFieldType::kINT32, 1));
        mFC.nbFields = mPluginAttributes.size();
        mFC.fields = mPluginAttributes.data();
    }

    ~FlattenConcatPluginCreator() {}
    const char* getPluginName() const noexcept override { return FLATTENCONCAT_PLUGIN_NAME; }
    const char* getPluginVersion() const noexcept override { return FLATTENCONCAT_PLUGIN_VERSION; }
    const PluginFieldCollection* getFieldNames() noexcept override { return &mFC; }
    IPluginV2* createPlugin(const char* name, const PluginFieldCollection* fc) noexcept override    {    }
    IPluginV2* deserializePlugin(const char* name, const void* serialData, size_t serialLength) noexcept override    {        return new FlattenConcat(serialData, serialLength);    }
    void setPluginNamespace(const char* libNamespace) noexcept override { mNamespace = libNamespace; }
    const char* getPluginNamespace() const noexcept override { return mNamespace.c_str(); }

private:
    static PluginFieldCollection mFC;
    bool mIgnoreBatch{false};
    int mConcatAxisID;
    static std::vector<PluginField> mPluginAttributes;
    std::string mNamespace = "";
};

PluginFieldCollection FlattenConcatPluginCreator::mFC{};
std::vector<PluginField> FlattenConcatPluginCreator::mPluginAttributes;

REGISTER_TENSORRT_PLUGIN(FlattenConcatPluginCreator);

 

$ cat nvdsparsebbox_ssd.cpp
#include <cstring>
#include <iostream>
#include "nvdsinfer_custom_impl.h"

#define MIN(a,b) ((a) < (b) ? (a) : (b))
#define MAX(a,b) ((a) > (b) ? (a) : (b))
#define CLIP(a,min,max) (MAX(MIN(a, max), min))

/* This is a sample bounding box parsing function for the sample SSD UFF
 * detector model provided with the TensorRT samples. */

extern "C"
bool NvDsInferParseCustomSSD (std::vector<NvDsInferLayerInfo> const &outputLayersInfo,
        NvDsInferNetworkInfo  const &networkInfo,
        NvDsInferParseDetectionParams const &detectionParams,
        std::vector<NvDsInferObjectDetectionInfo> &objectList);

/* C-linkage to prevent name-mangling */
extern "C"
bool NvDsInferParseCustomSSD (std::vector<NvDsInferLayerInfo> const &outputLayersInfo,
        NvDsInferNetworkInfo  const &networkInfo,
        NvDsInferParseDetectionParams const &detectionParams,
        std::vector<NvDsInferObjectDetectionInfo> &objectList)
{
  for (int i = 0; i < keepCount; ++i)
  {
    NvDsInferObjectDetectionInfo object;
        object.classId = classId;
        object.detectionConfidence = det[2];
        object.left = CLIP(rectx1, 0, networkInfo.width - 1);
        object.top = CLIP(recty1, 0, networkInfo.height - 1);
        object.width = CLIP(rectx2, 0, networkInfo.width - 1) - object.left + 1;
        object.height = CLIP(recty2, 0, networkInfo.height - 1) - object.top + 1;
        objectList.push_back(object);
  }

  return true;
}

/* Check that the custom function has been defined correctly */
CHECK_CUSTOM_PARSE_FUNC_PROTOTYPE(NvDsInferParseCustomSSD);

 

 

+ ?

[링크 : https://github.com/AastaNV/eLinux_data/blob/main/deepstream/ssd-jetson_inference/ssd-jetson_inference.patch]

 

+

NvDsInferDataType  dataType
union {
   NvDsInferDims   inferDims
}; 
int  bindingIndex
const char *  layerName
void *  buffer
int  isInput

[링크 : https://docs.nvidia.com/metropolis/deepstream/5.0DP/dev-guide/DeepStream_Development_Guide/baggage/structNvDsInferLayerInfo.html]

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