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Revisiting IM2GPS in the Deep Learning Era
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README.md
compute_image_features.m
convert_img_for_cafffe.m
deploy.prototxt
gps_distance.m
main.m
main_im2gps_test.m
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predict_gps.m

README.md

Revisiting Im2GPS

Code & data for our "Revisiting IM2GPS in the Deep Learning Era" paper

PyTorch version: to be released

Prerequisites:

Test on new images:

Test on im2gps-test-set:

  • Download the test set from http://graphics.cs.cmu.edu/projects/im2gps and unzip the images to "query" folder
  • Run main_im2gps_test.m
  • The numbers might not be exactly the same as reported in the paper because of FLANN randomization or image decoding.

Datasets:

Reference:

  • Nam Vo, Nathan Jacobs and James Hays. "Revisiting IM2GPS in the Deep Learning Era". ICCV 2017.
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