«SimpleIR» provides a simple framework for Image Retrieval
B2: Previously, SimpleIR focused on both model training and image retrieval tasks (See v0.11.0 and before). In the next stage, I will focus more on the implementation and optimization of image retrieval tasks, including how to better test new models and retrieval methods, and how to achieve image retrieval more quickly.
B1: 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.
See Get Started
- zhujian - Initial work - zjykzj
For more thanks, check THANKS
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.
Apache License 2.0 © 2022 zjykzj