Making binary mask images from JSON annotation

A face beatification application focused on acne detection and removal using a deep CNN model and digital inpainting. With the integration of CICD Pipeline, building, testing and deployment has been automated.

A utility script to convert Run-Length-Encoded Binary Masks from Darwin 2.0 JSON to PNG.

This project involves segmenting plant images, creating binary masks, and detecting circles within plant regions using the Hough Circle Transform, and demonstrating noise reduction and thresholding techniques in the Lab color space.

Repository for COL780 Computer Vision Assignments. Instructor Prof. Chetan Arora

A script for obtaining a binary mask as png from label_studio json format

Step-by-step description of a power set generator class: ModSet(). Efficiency comparison between the binary mask iterative process and two recursive algorithms for constructing power sets.

This is a made easy code for starters who want to use point prompt for recently released ground breaking foundational model Segment anything (SAM) by Meta AI. This code is to make easy to jump in a project where you can select point then apply to a directory and then evaluate on binary ground truth mask. You will also get binary mask from the code.