Image Retrieval System Descriptor Base [on hold]

General Tech Bugs & Fixes 3 years ago

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manpreet Tuteehub forum best answer Best Answer 3 years ago

I have 1K-10K Images with there descriptor (~100 descriptors in Image with 1024-D each) I would like to build an image retrieval system to get the top K best matches images according to new image descriptors

  1. do I need a special machine for that? (RAM / CPU)
  2. what is the time a good algorithm should take?
  3. if I reduce the number of the features using PCA, how fast can I get?
  4. any reference code / Github in python on how to do that?
  5. is python the best way or should I consider other languages?
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