Comments (2)
flyingTan
commented on July 19, 2024
Time-consuming part is training every 5 frames. More specifically, matrix operations of Gaussian conjugate and Newton gradienet iteration are implemented by ourselves. On the contrary, matlab fast matrix operation by sacrifice certrain accuracy is faster than ours. So, our training part is much slower than Matlab version.
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minacreft
commented on July 19, 2024
thanks~
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Related Issues (20)
- What's the speed of this C++ version?
- 我这里跑k1没初始化 HOT 1
- The initialization of output_sz
- The Rect Don't move？ HOT 1
- fhog accelerate HOT 2
- 追踪不正确 HOT 10
- GPU版本？ HOT 8
- 執行一陣子會關閉!? HOT 2
- When does the algorithm stop tracking the target? HOT 2
- About ECO execution HOT 6
- 怎么不用caffe,只调用HC特征？ HOT 7
- 关于fDSST中，“scale filter”问题咨询
- How about the effect when the targets are multi_persons? HOT 1
- compile in linux
- 抗干扰效果怎么样？
- ubuntu16.04 环境下编译通过，但运行出错 HOT 5
- new commit uploaded can run on gpu version of caffe ?
- useDeepFeature为1的话，运行到net.reset(new Net<float>(proto, TEST))出就会退出。 HOT 1
- Freeze in both CPU and GPU mode when deep features in use
- Crash in non deep features mode
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