Charlyo

I don't know if that's you case: https://stackoverflow.com/questions/26493762/yosemite-el-capitan-php-gd-mcrypt-installation In macOS, treetype is not installed by default.

Having the same issue with xbian and kernel 4.9.17

@yacob841 I'm facing the same issue. However, the link from my xbian /lib/modules/4.9.17+ isn't broken (can ls inside).

The idea is to optimize the embedding for cosine similarity https://arxiv.org/pdf/1811.12649.pdf ", we describe below techniques we used to achieve SOTA on the retrieval tasks including L2 normalization of embedding...

@cvqluu can you fix it in the code? thanks

@ayumiymk Getting `Unexpected key(s) in state_dict: "tps.inverse_kernel", "tps.padding_matrix", "tps.target_coordinate_repr", "tps.target_control_points", "stn_head.stn_convnet.0.0.weight", "stn_head.stn_convnet.0.0.bias", "stn_head.stn_convnet.0.1.weight", "stn_head.stn_convnet.0.1.bias", "stn_head.stn_convnet.0.1.running_mean", "stn_head.stn_convnet.0.1.running_var", "stn_head.stn_convnet.0.1.num_batches_tracked", "stn_head.stn_convnet.2.0.weight", "stn_head.stn_convnet.2.0.bias", "stn_head.stn_convnet.2.1.weight", "stn_head.stn_convnet.2.1.bias", "stn_head.stn_convnet.2.1.running_mean", "stn_head.stn_convnet.2.1.running_var", "stn_head.stn_convnet.2.1.num_batches_tracked", "stn_head.stn_convnet.4.0.weight", "stn_head.stn_convnet.4.0.bias", "stn_head.stn_convnet.4.1.weight", "stn_head.stn_convnet.4.1.bias", "stn_head.stn_convnet.4.1.running_mean", "stn_head.stn_convnet.4.1.running_var",...

I was asking for this features. It's not up to me to implement them.

@anh1nt @ku21fan Has anyone trained the model with rgb in the branch recognition?

@ku21fan Could you share the color model? thkns!

Any new regarding this? Would appreciate having binary vectors benchmarks :)