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i'm trying to run the given model on the cvusa data set. i didn't find a simple query method in your code (something like - input:ground image, output: matching sat image), so i tried to make one based on your "validate" section in train.py. but i were unable to recreate the results your got (~70% for the top 1%).
can you upload the script the got your these results?
The text was updated successfully, but these errors were encountered:
I did write the code to query one ground image. You can write it based on my validation function. Simply change the ground image matrix to one entry. Query one image and a set of images should be the same.
hi,
first of all, very impressive work!
i'm trying to run the given model on the cvusa data set. i didn't find a simple query method in your code (something like - input:ground image, output: matching sat image), so i tried to make one based on your "validate" section in train.py. but i were unable to recreate the results your got (~70% for the top 1%).
can you upload the script the got your these results?
The text was updated successfully, but these errors were encountered: