A Simple Framework for Image Retrieval
Project description
«SimpleIR» provides a simple framework for Image Retrieval
Table of Contents
Background
Since the traditional image processing, the field of image retrieval has been a research hotspot. Up to now, image retrieval algorithms based on deep learning have been continuously proposed. Although this field has developed for many years, there are still great barriers to research and practice. In order to better practice image retrieval algorithms, I developed this warehouse, hoping to better promote the landing and optimization of image retrieval algorithms.
Installation
See install
Usage
See Get Started
Maintainers
- zhujian - Initial work - zjykzj
Thanks
For more thanks, check THANKS
Contributing
Anyone's participation is welcome! Open an issue or submit PRs.
Small note:
- Git submission specifications should be complied with Conventional Commits
- If versioned, please conform to the Semantic Versioning 2.0.0 specification
- If editing the README, please conform to the standard-readme specification.
License
Apache License 2.0 © 2022 zjykzj
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file simpleir-0.10.0.tar.gz
.
File metadata
- Download URL: simpleir-0.10.0.tar.gz
- Upload date:
- Size: 38.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 55a4f8110977921afb16ad3b98c5b6c7784e263624c658d521c57c7579516aac |
|
MD5 | 1378d6e85c755067ef79aa3cbd1e13c1 |
|
BLAKE2b-256 | 02279b5c9c5736ac4e8d1f9f590f78420f197d5b2924a995f70aba5f1baffa5a |
File details
Details for the file simpleir-0.10.0-py2.py3-none-any.whl
.
File metadata
- Download URL: simpleir-0.10.0-py2.py3-none-any.whl
- Upload date:
- Size: 60.2 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a474166251669db8da33480934a0931ea8b25f5ee9c203bafbe462bb4376a925 |
|
MD5 | d8f8ad119da4fd878a1be0d43870537f |
|
BLAKE2b-256 | 89df8a6c9a7788bb8796f329f73394db3bcb0e478924cb65b5c263bc608684c5 |