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Full reimplementation of siamese rpn, has 0.24 eao on vot2017.

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when run train.py, "img_buffer=np.frombuffer(img_buffer,np.uint8)" will cause the error" AttributeError: 'NoneType' object has no attribute '__buffer__'"

I read your code carefully, and i want to know the meaning or function in dataset.py as follow, thank you so much. " cy_o = (im_h - 1) / 2...

In config,py, the instance_size=271 but the size in the paper equals to 255.

Thank you for your working! I don't have ytb dataset. So if I use the dataset uploaded by you on 5.30, do I need to download the ytb dataset?

https://github.com/HelloRicky123/Siamese-RPN/blob/8f0ec5459d11f5b8d0ee9cbbfbfc1a9bf8cd3505/bin/create_dataset_ytbid.py#L105-L112 Hey! thanks for sharing your work. In the above lines pointed out, I see that you transformed imagenet bbox (1-based `[xmin, ymin, xmax, ymax]`?) to center-based width height form...

Because the limitation of the BaiduYun disk, can you upload the dataset you mentioned in the `README.MD` to Google Drive? thanks.

If I have a small patch with same size as ground truth box, how to crop it into exemplar_img like training?

Hello, can you separate the two datasets and pass them separately? After all, the data set is a bit big, one of the data sets I already have, YTB has...

do you use https://github.com/mbuckler/youtube-bb to download and prepare your youtube-bb data?

I use your training code with pretrained AlexNet to train SiamRPN, but the performance is pretty bad when only using VID dataset. I use the test code provided by [arbitularov](https://github.com/arbitularov/SiamRPN-PyTorch)....