This is my solution for Google Landmark Retrieval Challenge
Description is available at here
- python
- keras
- cv2
- faiss
- download image data from here
and place them in
input/index/
andinput/query
- place
sample_submission.csv
ininput/
- run
extract_feature_vgg.py
extract feature at diroutput/
you can change a layer to extract features by change line 57 - run
output_submission.py
calcurate distances between features and output submission file at diroutput/
you can change a layer to extract features by editing line 7
you can change a model to extract features by editing line 8 - run
train_rotnet.py
train RotNet - run
extract_feature_rotnet.py
extract feature at diroutput/
you can change a layer to extract features by change line 78