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干员识别，转个灰度图再识别

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MistEO
2021-09-02 18:28:10 +08:00
parent d9ddff0166
commit 29c622e0be
2 changed files with 6 additions and 2 deletions
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4
MeoAssistance/Identify.cpp
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@@ -86,7 +86,7 @@ std::pair<std::vector<cv::KeyPoint>, cv::Mat> asst::Identify::surf_detect(const
constexpr int min_hessian = 400;
// SURF特征点检测
cv::Ptr<SURF> detector = SURF::create(min_hessian);
static cv::Ptr<SIFT> detector = SIFT::create(min_hessian);
std::vector<KeyPoint> keypoints;
cv::Mat mat_vector;
// 找到特征点并计算特征描述子(向量)
@@ -191,7 +191,7 @@ std::optional<asst::Rect> asst::Identify::feature_match(
std::vector<cv::DMatch> good_matchs;
std::vector<cv::Point> good_points;
// TODO，这个阈值需要根据分辨率进行缩放，而且最好写到配置文件里
constexpr static int DistanceThreshold = 200;
constexpr static int DistanceThreshold = 100;
for (size_t i = 0; i != train_ransac_keypoints.size(); ++i) {
// 没必要算距离，x y各算一下就行了，省点CPU时间
//int distance = std::sqrt(std::pow(avg_point.x - cur_x, 2) + std::pow(avg_point.y - cur_y, 2));