DaVinci-style three-wheel grading: lift (shadows), gamma (midtones) and gain (highlights), each an RGB offset plus a master brightness. Given as comma-separated RGB + luminance components per wheel.
Module:Color grading · Task type:color_grade_wheels
Ports
Inputs
| Port | Type | Required |
|---|---|---|
in | Image / cv::Mat | ✓ |
Outputs
| Port | Type | Required |
|---|---|---|
out | cv::Mat | ✓ |
Parameters
| 参数 | 类型 | 默认值 | 范围 / 选项 | 说明 |
|---|---|---|---|---|
lift_r | float | 0 | [-1, 1] | |
lift_g | float | 0 | [-1, 1] | |
lift_b | float | 0 | [-1, 1] | |
gamma_r | float | 1 | [0.1, 4] | |
gamma_g | float | 1 | [0.1, 4] | |
gamma_b | float | 1 | [0.1, 4] | |
gain_r | float | 1 | [0, 4] | |
gain_g | float | 1 | [0, 4] | |
gain_b | float | 1 | [0, 4] | |
offset_r | float | 0 | [-1, 1] | |
offset_g | float | 0 | [-1, 1] | |
offset_b | float | 0 | [-1, 1] |
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": "color_grade_wheels",
"params": {
"lift_r": 0,
"lift_g": 0,
"lift_b": 0,
"gamma_r": 1,
"gamma_g": 1,
"gamma_b": 1,
"gain_r": 1,
"gain_g": 1,
"gain_b": 1,
"offset_r": 0,
"offset_g": 0,
"offset_b": 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.