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image-search

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jina
divyasreedev
divyasreedev commented Mar 14, 2022

Problem: It is pretty challenging to find resource material and valuable articles, videos and such, and we spend a lot of time searching and finding the appropriate resource for us.

Proposed solution: Faceted search can come a long way when looking for a quick way to find a solution designed for our needs. Ratings on the resource can help us select the best solution based on our search

milvus
vearch
richxnh
richxnh commented Jun 3, 2021

使用的3.2.7版本,3台服务器(1个master、3个ps、3个router),按天建表(如:db_20210601、db_20210602、db_20210603),每张表的结构如下 :
`{
"name": "space",
"partition_num": 3,
"replica_num": 1,
"engine": {
"name": "gamma",
"index_size": 100000,
"retrieval_type": "IVFPQ",
"retrieval_param": {
"ncentroids": 2048,
"nsubvector": 64,
"metric_type": "InnerProduct"
},
"id_type": "String"
},
"propertie

qdrant
generall
generall commented Dec 28, 2021

Is your feature request related to a problem? Please describe.
There are cases, when it might be useful to know how much points are there in index, which satisfies some filtering condition.
Currently, we can only estimate a total amount of points.

Describe the solution you'd like
Create an API which returns amount of points (estimated or precise, depending on flag) for a given filter

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

  • Updated Apr 13, 2019
  • Python

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