Comments (2)
The scripts get_oxford.sh
and get_paris.sh
simply download the datasets from their original source, and then extract the compressed files to get the jpg images organized to work with the code. I just tried to run them both and got all images without any problems, and was able to run the whole pipeline following the steps that are provided in the README.
Make sure that the download process is not interrupted. Images are first downloaded in compressed files, which are later extracted to get the jpg images. If the download is interrupted, you still might be able to extract the compressed file but will get less images.
from retrieval-2016-deepvision.
@amaiasalvador thanks a lot.
from retrieval-2016-deepvision.
Related Issues (15)
- No region proposals detected HOT 2
- features.py Cause ERROR "check_array ValueError: Found array with 0 sample(s)"
- ValueError: could not broadcast input array from shape (0,512) into shape (512) HOT 2
- To get it to work with QE
- Asking some help for the pretrained model
- about dataset HOT 1
- About ranker.py HOT 1
- What is the dataset for fine-tuning? HOT 1
- Ask for the download link of pretrained model ~
- ZF Model HOT 2
- l2 normalization never actually occurs in this codebase HOT 1
- wrong dataset name HOT 5
- Choice of features
- Trained Model HOT 5
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from retrieval-2016-deepvision.