ComfyUI Node
cv2.resize
Raw wrapper of cv2.resize(src, dsize, fx?, fy?, interpolation?). Parameters marked '?' are optional; blank means OpenCV default. See the OpenCV documentation for details.
cv2.resize
- src
- dsize
- result
◄fx0.0000►
◄fy0.0000►
◄interpolationINTER_LINEAR►
Categoryimage/CV/low-level/cv2 R
Inputs (5)
| Name | Type | Default | Description |
|---|---|---|---|
| src | COMFY_MATCHTYPE_V3 | input image. The image output(s) echo this input's format. A LATENT link is processed in latent space: frame 0 becomes a float32 [H,W,C] array (any channel count), values untouched. Arithmetic ops (add, multiply, etc.) also accept a full LATENT batch ({samples: [B,C,H,W]}) — the whole batch flows through when both inputs have the same batch size. Accepts a ComfyUI IMAGE/MASK directly (frame 0 of a batch) or an NPARRAY. Arithmetic ops (add, multiply, etc.) process the full IMAGE batch when both inputs have the same batch size. | |
| dsize | CV_TUPLE | 0,0 | output image size; if it equals zero (`None` in Python), it is computed as: $$\texttt{dsize = Size(round(fx*src.cols), round(fy*src.rows))}$$ Either dsize or both fx and fy must be non-zero. One value with 2 components (w, h) - it travels as a whole, so it cannot arrive half-connected. Wire it from 'CV Tuple' or type the components in place. |
| fxopt | FLOAT | 0.0000-1e+38–1e+38 | scale factor along the horizontal axis; when it equals 0, it is computed as $$\texttt{(double)dsize.width/src.cols}$$ Preset to the OpenCV default (0.0). |
| fyopt | FLOAT | 0.0000-1e+38–1e+38 | scale factor along the vertical axis; when it equals 0, it is computed as $$\texttt{(double)dsize.height/src.rows}$$ Preset to the OpenCV default (0.0). |
| interpolationopt | COMBO | INTER_LINEAR | interpolation method, see #InterpolationFlags |
Outputs (1)
| Name | Type | Description |
|---|---|---|
| result | COMFY_MATCHTYPE_V3 | Echoes the 'src' input's format: an IMAGE link comes back as IMAGE, MASK as MASK, NPARRAY stays NPARRAY. |