'분류 전체보기' 카테고리의 글 목록

'잡동사니'에 해당되는 글 13597건

blender 휠 에뮬레이트 하기 (0)	2025.05.18
blender + kinect (0)	2025.04.16
blender 강좌 (0)	2025.01.01
blender render - cycle, eevee (0)	2024.08.30
blender shader editor (4.2 bloom) (0)	2024.08.29

GIMP on windows with wacom (0)	2025.08.18
gimp fisheye correction (0)	2015.10.20
gimp를 이용하여 RGB 를 BGR로 변경하기 (0)	2014.12.03
gimp을 이용하여 색온도 바꾸기 (0)	2012.10.11
gimp 로고가 바꼈어요 (2.6.12 -> 2.8.0) (0)	2012.07.14

홈월드 리마스터 extra mission (0)	2025.08.09
홈월드 2 리마스터 - 추가 미션 (0)	2025.07.20
홈월드 2 리마스터 끝! (0)	2025.07.20
홈월드 2 마지막 미션 (0)	2025.07.19
홈월드 2 (0)	2025.07.18

GIMP paint dynamics editor (0)	2025.08.19
gimp fisheye correction (0)	2015.10.20
gimp를 이용하여 RGB 를 BGR로 변경하기 (0)	2014.12.03
gimp을 이용하여 색온도 바꾸기 (0)	2012.10.11
gimp 로고가 바꼈어요 (2.6.12 -> 2.8.0) (0)	2012.07.14

wacom 진단 (0)	2025.08.18
wacom on window (2)	2025.08.18
wacom 펜 도착! (2)	2025.08.18
wacom 펜 설명이 왜 이러냐 -_- (0)	2025.08.14
wacom 의 세계..(?) - 아트 펜 (0)	2025.08.12

        # Set backend and delegates
        if self.backend == "CPU":
            if self.platform == "i.MX8MP":
                backend = "true:CPU custom=NumThreads:4"
            else:
                backend = "true:CPU custom=NumThreads:2"
        else:
            if self.platform == "i.MX8MP":
                os.environ["USE_GPU_INFERENCE"] = "0"
                backend = (
                    "true:npu custom=Delegate:External,ExtDelegateLib:libvx_delegate.so"
                )
            else:
                backend = "true:npu custom=Delegate:External,ExtDelegateLib:libethosu_delegate.so"

                + " ! videoconvert ! video/x-raw,format=RGB ! tensor_converter ! "
                + "tensor_transform mode=arithmetic option=typecast:float32,div:255.0 ! "
                + "tensor_filter framework=tensorflow-lite model="
                + self.tflite_model
                + " accelerator="
                + backend
                + " name=tensor_filter latency=1 ! tensor_sink name=tensor_sink "

gsteramer의 엘리먼트를 기본으로 NN에 맞춰서 몇개 추가한 것 같은데

[링크 : https://nnstreamer.github.io/gst/nnstreamer/tensor_converter/README.html]

[링크 : https://nnstreamer.github.io/gst/nnstreamer/tensor_transform/README.html]

[링크 : https://nnstreamer.github.io/gst/nnstreamer/tensor_decoder/README.html]

[링크 : https://nnstreamer.github.io/gst/nnstreamer/tensor_filter/README.html]

[링크 : https://nnstreamer.github.io/gst/nnstreamer/tensor_sink/README.html]

[링크 : https://nnstreamer.github.io/gst/nnstreamer/elements/gsttensor_sink.html]

사용예에서 보면 converter / transform / filter / sink 순으로 쓰는 듯

[CAM] - [videoconvert] - [videoscale] - [tee] -+- [queue] - [videoconvert] - [cairooverlay] - [ximagesink]
+- [queue] - [videoscale] - [tensor_converter] - [tensor_transform] - [tensor_filter] - [tensor_sink]

[링크 : https://nnstreamer.github.io/how-to-run-examples.html]

+

gst-inspector tensor_converter

root@imx8mpevk:~# gst-inspect-1.0 tensor_converter
Factory Details:
  Rank                     none (0)
  Long-name                TensorConverter
  Klass                    Converter/Tensor
  Description              Converts an audio, video, text, or arbitrary stream to a tensor stream of C-Array for neural network framework filters
  Author                   MyungJoo Ham <myungjoo.ham@samsung.com></myungjoo.ham@samsung.com>

Plugin Details:
  Name                     nnstreamer
  Description              nnstreamer plugin library
  Filename                 /usr/lib/gstreamer-1.0/libnnstreamer.so
  Version                  2.4.0
  License                  LGPL
  Source module            nnstreamer
  Binary package           nnstreamer
  Origin URL               https://github.com/nnstreamer/nnstreamer

GObject
+----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstTensorConverter

Pad Templates:
  SINK template: 'sink'
    Availability: Always
    Capabilities:
      video/x-raw
                 format: { (string)RGB, (string)BGR, (string)RGBx, (string)BGRx, (string)xRGB, (string)xBGR, (string)RGBA, (string)BGRA, (string)ARGB, (string)ABGR, (string)GRAY8, (string)GRAY16_BE, (string)GRAY16_LE }
                  width: [ 1, 2147483647 ]
                 height: [ 1, 2147483647 ]
              framerate: [ 0/1, 2147483647/1 ]
         interlace-mode: progressive
      audio/x-raw
                 format: { (string)S8, (string)U8, (string)S16LE, (string)S16BE, (string)U16LE, (string)U16BE, (string)S32LE, (string)S32BE, (string)U32LE, (string)U32BE, (string)F32LE, (string)F32BE, (string)F64LE, (string)F64BE }
                   rate: [ 1, 2147483647 ]
               channels: [ 1, 2147483647 ]
                 layout: interleaved
      text/x-raw
                 format: utf8
      application/octet-stream
      other/tensors
                 format: flexible
              framerate: [ 0/1, 2147483647/1 ]
      application/octet-stream
      other/protobuf-tensor
              framerate: [ 0/1, 2147483647/1 ]

  SRC template: 'src'
    Availability: Always
    Capabilities:
      other/tensor
              framerate: [ 0/1, 2147483647/1 ]
      other/tensors
                 format: { (string)static, (string)flexible }
              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:

  frames-per-tensor   : The number of frames in output tensor
                        flags: readable, writable
                        Unsigned Integer. Range: 1 - 4294967295 Default: 1

  input-dim           : Input tensor dimension from inner array
                        flags: readable, writable
                        String. Default: ""

  input-type          : Type of each element of the input tensor
                        flags: readable, writable
                        String. Default: ""

  mode                : Converter mode. e.g., mode=custom-code:. For detail, refer to </registered callback name>https://github.com/nnstreamer/nnstreamer/blob/main/gst/nnstreamer/elements/gsttensor_converter.md#custom-converter
                        flags: readable, writable
                        String. Default: ""

  name                : The name of the object
                        flags: readable, writable
                        String. Default: "tensorconverter0"

  parent              : The parent of the object
                        flags: readable, writable
                        Object of type "GstObject"

  set-timestamp       : The flag to set timestamp when received a buffer with invalid timestamp
                        flags: readable, writable
                        Boolean. Default: true

  silent              : Produce verbose output
                        flags: readable, writable
                        Boolean. Default: true

  sub-plugins         : Registrable sub-plugins list
                        flags: readable
                        String. Default: "python3,protobuf"

gst-inspector tensor_transform

root@imx8mpevk:~# gst-inspect-1.0 tensor_transform
Factory Details:
  Rank                     none (0)
  Long-name                TensorTransform
  Klass                    Filter/Tensor
  Description              Transforms other/tensor dimensions for different models or frameworks
  Author                   MyungJoo Ham <myungjoo.ham@samsung.com>

Plugin Details:
  Name                     nnstreamer
  Description              nnstreamer plugin library
  Filename                 /usr/lib/gstreamer-1.0/libnnstreamer.so
  Version                  2.4.0
  License                  LGPL
  Source module            nnstreamer
  Binary package           nnstreamer
  Origin URL               https://github.com/nnstreamer/nnstreamer

GObject
+----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstBaseTransform
                         +----GstTensorTransform

Pad Templates:
  SINK template: 'sink'
    Availability: Always
    Capabilities:
      other/tensor
              framerate: [ 0/1, 2147483647/1 ]
      other/tensors
                 format: { (string)static, (string)flexible }
              framerate: [ 0/1, 2147483647/1 ]

  SRC template: 'src'
    Availability: Always
    Capabilities:
      other/tensor
              framerate: [ 0/1, 2147483647/1 ]
      other/tensors
                 format: { (string)static, (string)flexible }
              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:

  acceleration        : Orc acceleration
                        flags: readable, writable
                        Boolean. Default: true

  apply               : Select tensors to apply, separated with ',' in case of multiple tensors. Default to apply all tensors.
                        flags: readable, writable
                        String. Default: ""

  mode                : Mode used for transforming tensor
                        flags: readable, writable
                        Enum "gtt_mode_type" Default: -1, "unknown"
                           (0): dimchg           - Mode for changing tensor dimensions, option=FROM_DIM:TO_DIM (with a regex, ^([0-9]|1[0-5]):([0-9]|1[0-5])$, where NNS_TENSOR_RANK_LIMIT is 16)
                           (1): typecast         - Mode for casting type of tensor, option=(^[u]?int(8|16|32|64)$|^float(16|32|64)$)
                           (2): arithmetic       - Mode for arithmetic operations with tensor, option=[typecast:TYPE,][per-channel:(false|true@DIM),]add|mul|div:NUMBER[@CH_IDX], ...
                           (3): transpose        - Mode for transposing shape of tensor, option=D1':D2':D3':D4 (fixed to 3)
                           (4): stand            - Mode for statistical standardization of tensor, option=(default|dc-average)[:TYPE][,per-channel:(false|true)]
                           (5): clamp            - Mode for clamping all elements of tensor into the range, option=CLAMP_MIN:CLAMP_MAX
                           (-1): unknown          - Unknown or not-implemented-yet mode

  name                : The name of the object
                        flags: readable, writable
                        String. Default: "tensortransform0"

  option              : Option for the tensor transform mode ?
                        flags: readable, writable
                        String. Default: null

  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

  silent              : Produce verbose output ?
                        flags: readable, writable
                        Boolean. Default: true

  transpose-rank-limit: The rank limit of transpose, which varies per version of nnstreamer and may be lower than the global rank limit if it is over 4.
                        flags: readable
                        Unsigned Integer. Range: 0 - 16 Default: 4

gst-inspector tensor_decoder

root@imx8mpevk:~# gst-inspect-1.0 tensor_decoder
Factory Details:
  Rank                     none (0)
  Long-name                TensorDecoder
  Klass                    Converter/Tensor
  Description              Converts tensor stream of C-Array for neural network framework filters to audio or video stream
  Author                   Jijoong Moon <jijoong.moon@samsung.com>

Plugin Details:
  Name                     nnstreamer
  Description              nnstreamer plugin library
  Filename                 /usr/lib/gstreamer-1.0/libnnstreamer.so
  Version                  2.4.0
  License                  LGPL
  Source module            nnstreamer
  Binary package           nnstreamer
  Origin URL               https://github.com/nnstreamer/nnstreamer

GObject
+----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstBaseTransform
                         +----GstTensorDecoder

Pad Templates:
  SINK template: 'sink'
    Availability: Always
    Capabilities:
      other/tensor
              framerate: [ 0/1, 2147483647/1 ]
      other/tensors
                 format: static
            num_tensors: [ 1, 16 ]
              framerate: [ 0/1, 2147483647/1 ]
      other/tensors
                 format: flexible
              framerate: [ 0/1, 2147483647/1 ]

  SRC template: 'src'
    Availability: Always
    Capabilities:
      ANY

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

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

Element Properties:

  config-file         : sets config file path which contains plugins properties
                        flags:
** (gst-inspect-1.0:1706): WARNING **: 05:54:08.872: /usr/src/debug/nnstreamer/2.4.0/gst/nnstreamer/elements/gsttensor_decoder.c:592: invalid property id 13 for "config-file" of type 'GParamString' in 'GstTensorDecoder'
readable, writable
                        String. Default: null

  mode                : Decoder mode
                        flags: readable, writable
                        String. Default: ""

  name                : The name of the object
                        flags: readable, writable
                        String. Default: "tensordecoder0"

  option1             : option for specific decoder modes, 1st one.
                        flags: readable, writable
                        String. Default: null

  option2             : option for specific decoder modes, 2nd one.
                        flags: readable, writable
                        String. Default: null

  option3             : option for specific decoder modes, 3rd one.
                        flags: readable, writable
                        String. Default: null

  option4             : option for specific decoder modes, 4th one.
                        flags: readable, writable
                        String. Default: null

  option5             : option for specific decoder modes, 5th one.
                        flags: readable, writable
                        String. Default: null

  option6             : option for specific decoder modes, 6th one.
                        flags: readable, writable
                        String. Default: null

  option7             : option for specific decoder modes, 7th one.
                        flags: readable, writable
                        String. Default: null

  option8             : option for specific decoder modes, 8th one.
                        flags: readable, writable
                        String. Default: null

  option9             : option for specific decoder modes, 9th one.
                        flags: readable, writable
                        String. Default: null

  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

  silent              : Produce verbose output
                        flags: readable, writable
                        Boolean. Default: true

  sub-plugins         : Registrable sub-plugins list
                        flags: readable
                        String. Default: "protobuf,direct_video,bounding_boxes,image_segment,python3,octet_stream,pose_estimation,tensor_region,image_labeling"

gst-inspector tensor_filter

root@imx8mpevk:~# gst-inspect-1.0 tensor_filter
Factory Details:
  Rank                     none (0)
  Long-name                TensorFilter
  Klass                    Filter/Tensor
  Description              Handles NN Frameworks (e.g., tensorflow) as Media Filters with other/tensor type stream
  Author                   MyungJoo Ham <myungjoo.ham@samsung.com>

Plugin Details:
  Name                     nnstreamer
  Description              nnstreamer plugin library
  Filename                 /usr/lib/gstreamer-1.0/libnnstreamer.so
  Version                  2.4.0
  License                  LGPL
  Source module            nnstreamer
  Binary package           nnstreamer
  Origin URL               https://github.com/nnstreamer/nnstreamer

GObject
+----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstBaseTransform
                         +----GstTensorFilter

Pad Templates:
  SINK template: 'sink'
    Availability: Always
    Capabilities:
      other/tensor
              framerate: [ 0/1, 2147483647/1 ]
      other/tensors
                 format: { (string)static, (string)flexible }
              framerate: [ 0/1, 2147483647/1 ]

  SRC template: 'src'
    Availability: Always
    Capabilities:
      other/tensor
              framerate: [ 0/1, 2147483647/1 ]
      other/tensors
                 format: { (string)static, (string)flexible }
              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:

  accelerator         : Set accelerator for the subplugin with format (true/false):(comma separated ACCELERATOR(s)). true/false determines if accelerator is to be used. list of accelerators determines the backend (ignored with false). Example, if GPU, NPU can be used but not CPU - true:npu,gpu,!cpu. The full list of accelerators can be found in nnstreamer_plugin_api_filter.h. Note that only a few subplugins support this property.
                        flags: readable, writable
                        String. Default: ""

  custom              : Custom properties for subplugins ?
                        flags: readable, writable
                        String. Default: ""

  framework           : Neural network framework
                        flags: readable, writable
                        String. Default: "auto"

  input               : Input tensor dimension from inner array, up to 4 dimensions ?
                        flags: readable, writable
                        String. Default: ""

  input-combination   : Select the input tensor(s) to invoke the models
                        flags: readable, writable
                        String. Default: ""

  inputlayout         : Set channel first (NCHW) or channel last layout (NHWC) or None for input data. Layout of the data can be any or NHWC or NCHW or none for now.
                        flags: readable, writable
                        String. Default: ""

  inputname           : The Name of Input Tensor
                        flags: readable, writable
                        String. Default: ""

  inputranks          : The Rank of the Input Tensor, which is separated with ',' in case of multiple Tensors
                        flags: readable
                        String. Default: ""

  inputtype           : Type of each element of the input tensor ?
                        flags: readable, writable
                        String. Default: ""

  invoke-dynamic      : Flexible tensors whose memory size changes can be used asinput and output of the tensor filter. With this option, the output caps is always in the format of flexible tensors.
                        flags: readable, writable
                        Boolean. Default: false

  is-updatable        : Indicate whether a given model to this tensor filter is updatable in runtime. (e.g., with on-device training)
                        flags: readable, writable
                        Boolean. Default: false

  latency             : Turn on performance profiling for the average latency over the recent 10 inferences in microseconds. Currently, this accepts either 0 (OFF) or 1 (ON).
                        flags: readable, writable
                        Integer. Range: 0 - 1 Default: -1

  latency-report      : Report to the pipeline the estimated tensor-filter element latency.
                        flags: readable, writable
                        Boolean. Default: false

  model               : File path to the model file. Separated with ',' in case of multiple model files(like caffe2)
                        flags: readable, writable
                        String. Default: ""

  name                : The name of the object
                        flags: readable, writable
                        String. Default: "tensorfilter0"

  output              : Output tensor dimension from inner array, up to 4 dimensions ?
                        flags: readable, writable
                        String. Default: ""

  output-combination  : Select the output tensor(s) from the input tensor(s) and/or model output
                        flags: readable, writable
                        String. Default: ""

  outputlayout        : Set channel first (NCHW) or channel last layout (NHWC) or None for output data. Layout of the data can be any or NHWC or NCHW or none for now.
                        flags: readable, writable
                        String. Default: ""

  outputname          : The Name of Output Tensor
                        flags: readable, writable
                        String. Default: ""

  outputranks         : The Rank of the Out Tensor, which is separated with ',' in case of multiple Tensors
                        flags: readable
                        String. Default: ""

  outputtype          : Type of each element of the output tensor ?
                        flags: readable, writable
                        String. Default: ""

  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

  shared-tensor-filter-key: Multiple element instances of tensor-filter in a pipeline may share a single resource instance if they share the same framework (subplugin) and neural network model. Designate "shared-tensor-filter-key" to declare and share such instances. If it is NULL, it means the model representations is not shared.
                        flags: readable, writable
                        String. Default: ""

  silent              : Produce verbose output
                        flags: readable, writable
                        Boolean. Default: true

  sub-plugins         : Registrable sub-plugins list
                        flags: readable
                        String. Default: "custom,custom-easy,cpp,python3,tvm,tensorflow2-lite"

  throughput          : Turn on performance profiling for the average throughput in the number of outputs per seconds (i.e., FPS), multiplied by 1000 to represent a floating point using an integer. Currently, this accepts either 0 (OFF) or 1 (ON).
                        flags: readable, writable
                        Integer. Range: 0 - 1 Default: -1

gst-inspector tensor_sink

root@imx8mpevk:~# gst-inspect-1.0 tensor_sink
Factory Details:
  Rank                     none (0)
  Long-name                TensorSink
  Klass                    Sink/Tensor
  Description              Sink element to handle tensor stream
  Author                   Samsung Electronics Co., Ltd.

Plugin Details:
  Name                     nnstreamer
  Description              nnstreamer plugin library
  Filename                 /usr/lib/gstreamer-1.0/libnnstreamer.so
  Version                  2.4.0
  License                  LGPL
  Source module            nnstreamer
  Binary package           nnstreamer
  Origin URL               https://github.com/nnstreamer/nnstreamer

GObject
+----GInitiallyUnowned
       +----GstObject
             +----GstElement
                   +----GstBaseSink
                         +----GstTensorSink

Pad Templates:
  SINK template: 'sink'
    Availability: Always
    Capabilities:
      other/tensor
              framerate: [ 0/1, 2147483647/1 ]
      other/tensors
                 format: { (string)static, (string)flexible, (string)sparse }
              framerate: [ 0/1, 2147483647/1 ]

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

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

Element Properties:

  async               : Go asynchronously to PAUSED
                        flags: readable, writable
                        Boolean. Default: true

  blocksize           : Size in bytes to pull per buffer (0 = default)
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 4294967295 Default: 4096

  emit-signal         : Emit signal for new data, stream start, eos
                        flags: readable, writable
                        Boolean. Default: true

  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"

  max-bitrate         : The maximum bits per second to render (0 = disabled)
                        flags: readable, writable
                        Unsigned Integer64. Range: 0 - 18446744073709551615 Default: 0

  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: -1

  name                : The name of the object
                        flags: readable, writable
                        String. Default: "tensorsink0"

  parent              : The parent of the object
                        flags: readable, writable
                        Object of type "GstObject"

  processing-deadline : Maximum processing time for a buffer in nanoseconds
                        flags: readable, writable
                        Unsigned Integer64. Range: 0 - 18446744073709551615 Default: 20000000

  qos                 : Generate Quality-of-Service events upstream
                        flags: readable, writable
                        Boolean. Default: true

  render-delay        : Additional render delay of the sink in nanoseconds
                        flags: readable, writable
                        Unsigned Integer64. Range: 0 - 18446744073709551615 Default: 0

  signal-rate         : New data signals per second (0 for unlimited, max 500)
                        flags: readable, writable
                        Unsigned Integer. Range: 0 - 500 Default: 0

  silent              : Produce verbose output
                        flags: readable, writable
                        Boolean. Default: true

  stats               : Sink Statistics
                        flags: readable
                        Boxed pointer of type "GstStructure"
                                                        average-rate: 0
                                                             dropped: 0
                                                            rendered: 0


  sync                : Sync on the clock
                        flags: readable, writable
                        Boolean. Default: false

  throttle-time       : The time to keep between rendered buffers (0 = disabled)
                        flags: readable, writable
                        Unsigned Integer64. Range: 0 - 18446744073709551615 Default: 0

  ts-offset           : Timestamp offset in nanoseconds
                        flags: readable, writable
                        Integer64. Range: -9223372036854775808 - 9223372036854775807 Default: 0


Element Signals:

  "eos" :  void user_function (GstElement * object,
                               gpointer user_data);

  "stream-start" :  void user_function (GstElement * object,
                                        gpointer user_data);

  "new-data" :  void user_function (GstElement * object,
                                    GstBuffer * arg0,
                                    gpointer user_data);

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Posted by 구차니

glade - gtk/gnome rad tool

소스를 보다 보니 glade라는 확장자로 xml 파일이 있길래

찾아보니 GTK를 이용하여 gnome용 어플리케이션을 작성할 수 있는 일종의

wpf 같은 느낌의 무엇?

<?xml version="1.0" encoding="UTF-8"?>

gtk 공부하기 싫어서 맨날 피해다녔는데 이렇게 해주는 녀석이 있으면 써봐야겠다.

[링크 : https://glade.gnome.org/]

저작자표시 (새창열림)

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-_-

대충 15일에 한번씩 방문자 수가 난리인가 -_-

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wacom on window

노트북에 깔고 해보는데 역시.. 윈도우가 본진인가.. 프로그램이 본체인가..

리눅스에서도 저렇게 설정이 가능하면 해봐야겠다.

다른건 모르겠고 정밀모드는 특정 작은 영역에 대해서 타블렛 전체 판이 매핑이 된다.

그래서 많이 움직여도 조금만 움직이는 "정밀모드"라는 말이 딱 맞는 느낌.

설정을 누르면 아래와 같이 전체 화면으로 설정된 내용들이 뜬다. 기억 안날때 눌러보게 될 듯.

터치는 별건 없고..

그립 펜에서 "펜촉의 감촉"은 개인적으로는 3단계 정도로 하는게 나을 것 같다. 4는 좀 엄청 세게 눌러야 최대값이 들어와서..

그나저나 윈도우에서는 더블클릭, 우클릭으로 할당되어 있다. 우분투에서는 우클릭, ??? 인 것 같던데..

+

윈도우용 드라이버가 설치되지 않으면 작동을 하지 않는다. 터치, 펜. 버튼 모두!

+

윈도우에서는 화면 돌려놔도 잘 된다. 야이 리눅스 지원 왜 이따구야

아까는 펜 탭만 있는 줄 알았는데 다시 보니 "지우개 스위치", "매핑"이 있고

매핑에서 전체 화면에 대해서 어떤 방향으로 타블렛을 놓고 쓸지

타블렛 조작영역 - 일부로 하면 아래와 같이 특정 영역만 사용이 가능하게 된다.

그런데 저거.. 정밀모드 반대인데 쓸데가 있으려나?

아래는 위의 셋팅에서 전체화면 스샷.

4k를 세로로 놨더니 장난 아니긴 하구만.

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-_-

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