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Hi, Thanks for your awesome implementation. This repository really helps me a lot
I am trying to make an image retrieval system with 53 images in my database for testing. I found that in the PQ search step, the system runs fast. However, the system getting slower in the geometric verification step (about 5 secs for one search). Currently, I apply a limit to the get_ransac_result function as the snippet below. And I am wondering if there are other ways to speed up the image retrieval system without losing too much precision?
def get_ransac_result(query_img2imgFreq, top_freq=10):
query_inlier_rank = {}
# MODIFY: pick only top similar images to get faster speed
top_freq = 10
# explore each image's frequency-based ranked image indices
for query_i in tqdm(range(len(query_img2imgFreq))):
# MODIFY: apply the limit here
ranked_list = query_img2imgFreq[query_i]['index'][:top_freq]
...
Thank you very much.
The text was updated successfully, but these errors were encountered:
Hi, Thanks for your awesome implementation. This repository really helps me a lot
I am trying to make an image retrieval system with 53 images in my database for testing. I found that in the PQ search step, the system runs fast. However, the system getting slower in the geometric verification step (about 5 secs for one search). Currently, I apply a limit to the
get_ransac_result
function as the snippet below. And I am wondering if there are other ways to speed up the image retrieval system without losing too much precision?Thank you very much.
The text was updated successfully, but these errors were encountered: