ComfyUI Node
cv2.findChessboardCornersSB
Raw wrapper of cv2.findChessboardCornersSB(image, patternSize, flags?). Parameters marked '?' are optional; blank means OpenCV default. See the OpenCV documentation for details.
cv2.findChessboardCornersSB
- image
- patternSize
- bool
- nparray
◄flagsnone (0)►
Categoryimage/CV/low-level/cv2 F
Inputs (3)
| Name | Type | Default | Description |
|---|---|---|---|
| image | NPARRAY,IMAGE,MASK | Source chessboard view. It must be an 8-bit grayscale or color image. 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. | |
| patternSize | CV_TUPLE | 0,0 | Number of inner corners per a chessboard row and column ( patternSize = cv::Size(points_per_row,points_per_column) = cv::Size(columns,rows) ). 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. |
| flagsopt | STRING | none (0) | Various operation flags that can be zero or a combination of the following values: - Normalize the image gamma with equalizeHist before detection. - Run an exhaustive search to improve detection rate. - Up sample input image to improve sub-pixel accuracy due to aliasing effects. - The detected pattern is allowed to be larger than patternSize (see description). - The detected pattern must have a marker (see description). This should be used if an accurate camera calibration is required. cv2.findChessboardCornersSB flags: one of none (0) plus any of CALIB_CB_NORMALIZE_IMAGE, CALIB_CB_EXHAUSTIVE, CALIB_CB_ACCURACY, CALIB_CB_LARGER, CALIB_CB_MARKER, pipe-joined (e.g. "none (0) | CALIB_CB_NORMALIZE_IMAGE"). In the UI this renders as a dropdown with one toggle per flag. |
Outputs (2)
| Name | Type | Description |
|---|---|---|
| bool | BOOLEAN | — |
| nparray | NPARRAY | — |