灰度图 中心贴图推理
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@ -174,6 +174,8 @@ APP_ERROR TrainParationMgr::Process()
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// LogInfo << "TrainAnaEngine checkPartion bPartion == true lstPartInfo[nPrePartionIndex].ftime:" << abs(lstPartInfo[nPrePartionIndex].i64EndTimeStamp - lstPartInfo[nPrePartionIndex].i64StartTimeStamp);
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// 根据时间戳计算时间差
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LogInfo << "-测试-----测试-----测试------测试-";
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float nTimePassed = (abs(lstPartInfo[nPartionIndex].i64EndTimeStamp - lstPartInfo[nPartionIndex].i64StartTimeStamp)) * 1.0;
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//防止停车导致速度过小
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if(pPartionInfo->nStatus != TRAIN_PAUSE && nTimePassed <= 50000) {
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@ -193,7 +195,7 @@ APP_ERROR TrainParationMgr::Process()
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//LogInfo << "TrainAnaEngine checkPartion bPartion == true lstPartInfo[nPrePartionIndex].endframe" << lstPartInfo[nPrePartionIndex].endframe;
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lstPartInfo[nPartionIndex].bmodelconfirmed = true;
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}
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LogInfo << "-测试3-----测试3-----测试3------测试3-";
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/// write json info to file
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@ -213,6 +215,8 @@ APP_ERROR TrainParationMgr::Process()
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//检测到车厢划分信息
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{
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LogInfo << "-测试2-----测试2-----测试2------测试2-";
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// if (nPartionIndex == 0) {
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// lstPartInfo[nPartionIndex].endframe = lstPartInfo[nPartionIndex].endframe - nrightoffset * (lstPartInfo[nPartionIndex].fLTX - METHOD_BASE_WIDTH) / 10;
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// } else {
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@ -464,12 +464,12 @@ void yolov5_preprocess_kernel_img(
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s2d.value[0] = scale;
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s2d.value[1] = 0;
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s2d.value[2] = 0; //左上顶点贴图
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// s2d.value[2] = -scale * src_width * 0.5 + dst_width * 0.5; //中心贴图
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// s2d.value[2] = 0; //左上顶点贴图
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s2d.value[2] = -scale * src_width * 0.5 + dst_width * 0.5; //中心贴图
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s2d.value[3] = 0;
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s2d.value[4] = scale;
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s2d.value[5] = 0; //左上顶点贴图
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// s2d.value[5] = -scale * src_height * 0.5 + dst_height * 0.5; //中心贴图
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// s2d.value[5] = 0; //左上顶点贴图
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s2d.value[5] = -scale * src_height * 0.5 + dst_height * 0.5; //中心贴图
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cv::Mat m2x3_s2d(2, 3, CV_32F, s2d.value);
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cv::Mat m2x3_d2s(2, 3, CV_32F, d2s.value);
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