Benyi Hu
Benyi Hu
1) "all" is used to control the output features in extracting, so feature dimension is not in this situation; 2) In indexing phase, you should assign the specific feature names,...
There are two way for you: 1) change the data structure to the form we used now 2) add your own method to read your dataset in the pyretri/extract/utils/make_data_json.py
What is the 'output' in your feature names? Pyretri will automatically concatenate multiple features in the L dimension.
您好,能告诉我具体的代码位置吗?
Thanks for you suggestions! I will fix it in the next vesion.
To get better feature representation :)
For SCDA, it calculate the top-5 mAP, we calculate mAP on all the samples, so we can not get the same performance.
Thanks for you suggestions! I will fix it in the next version.