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eval_landmark.compute_map_and_print and related problems?
I am trying to reproduce your work by training with another dataset. However, my dataset doesn't have ground-truth file such as good
, ok
, bad
, junk
. How should I train the model without using the eval_landmark.compute_map_and_print
function?
I think in your case, it is probably easier to just comment the validation function on rOxford and rParis
That's not a good idea because the model needs the validation function to improve itself
Im thinking about setting all of the images as ok
, without having any good
, junk
or bad