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图像检测优化正则2
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@ -31,7 +31,7 @@ public class FastYolo {//yolo
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heightStep = (int) (winHeight * stepReduce);
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if (stepReduce <= 1 && widthStep > 0 && heightStep > 0) {
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typeNerveManager = new NerveManager(3, yoloConfig.getHiddenNerveNub(), yoloConfig.getTypeNub() + 1,
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1, new ReLu(), yoloConfig.getLineStudy(), RZ.NOT_RZ, 0);
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1, new ReLu(), yoloConfig.getLineStudy(), RZ.L1, yoloConfig.getLineStudy() * yoloConfig.getRegular());
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typeNerveManager.initImageNet(2, yoloConfig.getKernelSize(), winHeight, winWidth,
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true, yoloConfig.isShowLog(), yoloConfig.getConvStudy(), new ReLu());
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} else {
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