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SiamFC PyTorch

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why need ground_rect.txt in video_dir when running demo? can provide a sample of ground_rect.txt? In addition, ground_rect.txt only need label of first frame, or label of all frames? Thank you!

I didn't train. I used the downloaded model '2016-08-17. Net. Mat' to test. The test result on OTB100 is only 0.531/0.729.

您的代码中在进行对网络优化时采用的是: socre map的输出和_create_gt_mask(https://github.com/StrangerZhang/SiamFC-PyTorch/blob/master/siamfc/alexnet.py#L89-L103)生成的gt进行计算交叉熵优化网络。请问一下,这个生成的gt是什么意思,初学,没太看懂这部分。

Traceback (most recent call last): File "bin/train_siamfc.py", line 9, in Fire(train) File "/home/lab/anaconda3/envs/siamfc/lib/python3.6/site-packages/fire/core.py", line 127, in Fire component_trace = _Fire(component, args, context, name) File "/home/lab/anaconda3/envs/siamfc/lib/python3.6/site-packages/fire/core.py", line 366, in _Fire component,...

I'm following your instructions to run to python bin/train_siamfc.py --gpu-id [gpu_id] --data-dir path/to/data/ILSVRC2015_VID_CURATION. But the system reported an error. Traceback (most recent call last): File "bin/train_siamfc.py", line 9, in Fire(train)...

L:\Anaconda\envs\py3\python.exe E:/Gavin/SiamFC-PyTorch-master/siamfc/train.py 0%| | 0/6650 [00:00

您好,在resize之后的响应图上添加余弦窗抑制边缘突出中心,为什么是加法,不是乘法呢??? response_map = (1 - config.window_influence) * response_map + \ config.window_influence * self.cosine_window??? 这里用的加法,为什么不是乘法,乘上一个余弦窗???

请问Note中你提到的AUC中是怎样获得的?计算AUC的代码在哪个文件?

I have met some trouble in downloading the ILSVRC2015-VID dataset from the command line on Ubuntu. I have found 85.7G of the link from the Internet. Is it really so...