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Thanks for your amazing job. I have tried the demo, it did well. When I replace the datapath in demo file with my own dataset(which is built by slicing pics from a video, about 2000 imgs) ,the full pipeline cost a lot. Is there any way to speed up for my sequential dataset ? Or can u give me some advised param setting ? Thanks a lot🥹
The text was updated successfully, but these errors were encountered:
2000 images is quite a lot, and the demo matches pairs exhaustively, and you end up with over 1M pairs to match (thats completely unfeasible :D). Instead, you should create a pair shortlist, either based on image retrieval (only match each image to its 50 closest neigbors) or temporal information (try this PR, or one of the solutions listed there).
Thanks for your amazing job. I have tried the demo, it did well. When I replace the datapath in demo file with my own dataset(which is built by slicing pics from a video, about 2000 imgs) ,the full pipeline cost a lot. Is there any way to speed up for my sequential dataset ? Or can u give me some advised param setting ? Thanks a lot🥹
The text was updated successfully, but these errors were encountered: