-228
opencv
assertion_error
ai_generated
true
cv::error: (-228:未知错误码228) 单应性矩阵掩码尺寸无效 在函数 'cv::findHomography' 中
cv::error: (-228:Unknown error code 228) The homography mask has invalid size in function 'cv::findHomography'
ID: opencv/homography-mask-invalid-size
94%修复率
87%置信度
1证据数
2024-03-12首次发现
版本兼容性
| 版本 | 状态 | 引入 | 弃用 | 备注 |
|---|---|---|---|---|
| 4.5.0 | active | — | — | — |
| 4.6.0 | active | — | — | — |
| 4.7.0 | active | — | — | — |
| 4.8.0 | active | — | — | — |
| 4.9.0 | active | — | — | — |
| 4.10.0 | active | — | — | — |
根因分析
传递给findHomography的输出掩码尺寸与输入点对数量不匹配。
English
The output mask passed to findHomography has a size that does not match the number of input point pairs.
官方文档
https://docs.opencv.org/4.x/d9/d0c/group__calib3d.html#ga4abc2e5c3f5b8c9e8f6d7a5b6c0d1e2f解决方案
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Ensure the mask has the correct size: cv::Mat mask; cv::findHomography(srcPoints, dstPoints, cv::RANSAC, 3.0, mask); The mask is automatically resized by the function if passed as an output Mat. Do not pre-allocate it. Example: std::vector<cv::Point2f> src, dst; cv::Mat mask; cv::findHomography(src, dst, cv::RANSAC, 3.0, mask);
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If using Python, simply call mask = None and let the function handle it: mask = cv.findHomography(src_pts, dst_pts, cv.RANSAC, 3.0, mask=None)[1].
无效尝试
常见但无效的做法:
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80% 失败
The mask must have exactly as many rows as the number of point pairs; an arbitrary size causes an assertion failure.
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65% 失败
In certain overloads, omitting the mask is allowed, but if a mask is provided, it must be correctly sized; using an empty Mat can still trigger this error if the function expects a non-empty mask.