Generic 2D convolution (cv::filter2D). The kernel is given as a string (commas within rows, semicolons between rows, e.g. 0,-1,0;-1,5,-1;0,-1,0) — ideal for experimenting with custom operators without writing code.

Module：OpenCV filtering · Task type：opencv_filter_2d

Ports

Inputs

PortTypeRequired
inImage / cv::Mat✓

Outputs

PortTypeRequired
outcv::Mat✓

Parameters

参数类型默认值范围 / 选项说明
kernel_sizeint3[1, 31] (step 2)kernel edge length in pixels; must be a positive odd number
deltafloat0[-255, 255]

Example graph

A minimal runnable pipeline (read → process → write). Drag it into GraphStudio or open via --open; replace data/test.png with a real path.

{
  "version": "2.0",
  "tasks": [
    {
      "id": "read",
      "type": "opencv_image_read",
      "params": {
        "file_path": "data/test.png"
      }
    },
    {
      "id": "node",
      "type": "opencv_filter_2d",
      "params": {
        "kernel_size": 3,
        "delta": 0
      }
    },
    {
      "id": "save",
      "type": "opencv_image_write",
      "params": {
        "file_path": "out_out.png"
      }
    }
  ],
  "edges": [
    {
      "from": "read",
      "from_port": "out",
      "to": "node",
      "to_port": "in"
    },
    {
      "from": "node",
      "from_port": "out",
      "to": "save",
      "to_port": "in"
    }
  ]
}

Part of the GraphStudio node guide series; parameters reflect the latest release.