20 lines
1.0 KiB
Plaintext
20 lines
1.0 KiB
Plaintext
|
|
/data - pulled images and spreadsheet of data
|
|
/descriptor - functions for extracting descriptors
|
|
/distance - functions for measuring distance between descriptors
|
|
/util - util functions such as toGreyscale and EVD
|
|
|
|
There are two types of script, ones that run a category response once (cvpr_visualsearch_*) and ones that iteratively
|
|
generate new descriptors to run queries on (parameter_*)
|
|
|
|
_query_set operates using either L1 or L2 norm on the query set
|
|
_pca generates an eigenmodel from the descriptors and computes mahalanobis distance
|
|
_rand_image picks a random query image from each category to iterate over, no results from this script are in the paper
|
|
|
|
|
|
The cvpr_visualsearch_* scripts load descriptors from folders and perform a category response test on them.
|
|
|
|
The parameter_* scripts were used to generate iterative parameter results for descriptors.
|
|
Effectively the query code from the cvpr_visualsearch_* files have been prefaced with descriptor generators that as a whole
|
|
iterate over parameters instead of loading them from files.
|