Aditya Jadhav Graduate Student of M.Eng Robotics at University of Maryland.
One of the fundamental problems in Computer Vision is Boundary Detection. Considerable efforts have been made towards the solution of this problem with focuses on detection and localization of color/intensity discontinuities and dividing the image into homogeneous regions. One such approach with Contour Detection and Image Segmentation methods significantly outperforms established algorithms like Canny Edge and Sobel Descriptors. Making use of the Pb (Probability of Boundary) Detection algorithm I present my solution of Phase 1 - Shake My Boundary.
- Python Programming Language
- Ubuntu 20.04 LTS
MIT License
Copyright (c) 2022 Aditya Jadhav
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SOFTWARE.
- Python 3.7.9 or up
- Glob
- Cv2
- Math
- Matplotlib.pyplot
- Imutils
- Sklearn.cluster
- Numpy
git clone --recursive https://github.com/iamjadhav/alohomora.git
- Activate the environment which has all required dependencies
- cd to the Code directory inside the submission folder
- execute "python3 Wrapper.py" command
- Results Directory
- Filters
- Gradients
- Maps
- PB-Lite Output