- 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
-
Notifications
You must be signed in to change notification settings - Fork 0
AdityaNair111/Feature-Matching
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
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 0
No packages published