OpenCV find4QuadCornerSubpix_1
The second overload, identical to the first
- img
- corners
- bool
- nparray
find4QuadCornerSubpix_1 is the second auto-generated overload of cv2.find4QuadCornerSubpix, and it is identical to find4QuadCornerSubpix_0 in every way you can observe from the graph: same inputs (img, corners, region_size), same outputs (bool success flag plus the refined nparray of corners), same underlying function. The _0/_1 split is an artifact of the pack generator numbering OpenCV's overloads; when both schemas land the same, you get twins. No workflow will ever behave differently on one versus the other.
The substance lives on the find4QuadCornerSubpix_0 page. The short version: it refines coarse corner guesses on a quadrilateral image to subpixel accuracy by fitting local gradients - the step that makes camera-calibration numbers trustworthy. Feed it img (grayscale works best; convert with cvtColor code 6), corners (initial guesses, ideally from findChessboardCorners), and region_size as a literal tuple like (5, 5). Check the bool output before trusting the corners; silent refinement failure is the failure mode.
Installing it
It's part of geroldmeisinger/opencv-comfyui, which installs as one ~600-node pack. ComfyUI Manager → search opencv-comfyui, or:
cd ComfyUI/custom_nodes
git clone https://github.com/geroldmeisinger/opencv-comfyui
then restart. Needs opencv-contrib-python, numpy, torch. If startup throws Cannot import name 'guidedFilter' from 'cv2.ximgproc', conflicting OpenCV installs are colliding - consolidate to one.
Pack-wide rules: nparrays in and out (Image2Nparray / Nparrays2Image), batch size 1 only.
And that's the complete story of this node: a faithful twin with nothing to add. If you need subpixel corner refinement, use either variant and read the _0 page for how.
Inputs (3)
| Name | Type | Default | Description |
|---|---|---|---|
| img | NPARRAY | — | |
| corners | NPARRAY | — | |
| region_size | STRING | — |
Outputs (2)
| Name | Type | Description |
|---|---|---|
| bool | BOOLEAN | — |
| nparray | NPARRAY | — |