Comments (5)
我也是做类似的,跑3000fps,也看了这个sdm,想用上一帧的boudingbox来做检测。看sdm代码时,第一帧检测用的是检测器检测后变换的框,接下来的跟踪使用的是最小外接矩形,竟然检测效果很好。于是我换成全部用人脸检测器变化后的框来做检测,效果不好了。考虑到这种情况,想知道在训练时所用的boudingbox是怎么算的,用的哪种...正在读代码..
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我qq1215764141,方便的话交流哈
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训练时的bounding box尽量在人脸检测出来的box附近随机扰动一下,也可以跟踪时使用的最小外接矩形框随机变动一下,这样对于predict时有更强的鲁棒性
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请问对于嘴张大的情况,嘴唇轮廓找的怎么样呢?
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你也在做这块呢?我也正在弄,做的不好,想用光流法,对于眼睛和嘴巴的形变无力。考虑到它们的形变方向在两眼连线的法线方向上,所以想修改光流法在计算其中一个运动分量时的部分,但是还没弄出来。另外我试了转换颜色空间,小波纹理都不理想..
随机扰动的效果的确好像好了些..前段时间加上了,最近木有看了..跟踪人眼人嘴这块思路不好,作者可以提个思路不..谢谢啦..
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Related Issues (20)
- How do we compile the code in Visual Studio 2015 HOT 4
- 训练文件labels_ibug_300W_train.xml在哪里 HOT 4
- about mean_norm_shape HOT 1
- 你好,能否说一下二进制文件代表了什么信息呢?
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- what's the problem for my head pose estimate?
- Regarding licence of model file and dataset.
- 角度过大会存在关键点漂移
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- 编译的时候遇到很多连接错误是怎么回事?
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