Benyi Hu

Results 8 comments of 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.

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.