Metadata-Version: 2.1
Name: local-feature-tutorial
Version: 0.0.1
Summary: DIY image retrieval with spatial verification
Home-page: https://github.com/ducha-aiki/local_feature_tutorial/tree/master/
Author: Dmytro Mishkin
Author-email: ducha.aiki@gmail.com
License: Apache Software License 2.0
Description: # Hands-on wide baseline tutorial
        > Summary description here.
        
        
        We will build, step-by-step, an image retrieval with spatial verification and use it for the dataset cleaning purpose. We will not build the components from scratch, instead will be using a ready packages.
        
        ## Install
        
        `pip install local_feature_tutorial`
        
        ## How to use
        
        Fill me in please! Don't forget code examples:
        
        ```python
        1+1
        ```
        
        
        
        
            2
        
        
        
Keywords: wide baseline stereo,SIFT,HardNet,image retrieval
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
