Skip to content

The intention is to capture the notion of interest points and use these to create feature vectors (SIFT) and employ them in matching objects.

Notifications You must be signed in to change notification settings

AdityaNair111/Feature-Matching

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Local Feature Matching

Setup

  • Install Miniconda. Either 2.7 or 3.6 because this project creates its own environment so anything is fine.
  • Create a conda environment, using the appropriate command. On Windows, open the installed "Conda prompt" to run this command. On MacOS and Linux, you can just use a terminal window to run the command. Modify the command based on your OS ('linux', 'mac', or 'win'): conda env create -f environment_<OS>.yml
  • This should create an environment named local_features. Activate it using the following Windows command: activate local_features or the following MacOS / Linux command: source activate local_features.
  • Run the notebook using: jupyter notebook ./code/proj2.ipynb

About

The intention is to capture the notion of interest points and use these to create feature vectors (SIFT) and employ them in matching objects.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published