Blends images by transforming their pixels in order to harmonize with the surrounding pixels
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Updated
Oct 28, 2022 - Python
Blends images by transforming their pixels in order to harmonize with the surrounding pixels
A python program to water mark any image and save it.
In this Project, important algorithms such as Canny Edge Detection, Harris Corner Detection, Segmentation, and Dehazing are utilized. These algorithms perform operations like detecting edges and corners in images, segmenting different regions, and enhancing foggy or blurred images.
2D Convolution in Image Processing
The main idea of this project is to learn how to work with convolutional neural networks.
Transforming images into code at a click. Upload a photo or screenshot and copy the code to your script in seconds!
Python program for Face Recognition and Identification using the Open Source Computer Vision Library
2022 - 2 Gachon University dept. of software Drone and Robotices Term-Project Team 1
Object-Oriented Large Projects (CU CSCI-5448)
Face blur effect coded in python for desktop application.
A python app that converts images to text using braille characters
AWS Lambda Image downloader program with Terraform, SNS, S3
Official implementation of Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers
Simply a creator for image datasets.
Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring 2023 semester.
Course Image Processing, autumn 2020
Various Image Processing related projects
The project is based on the use of classical image processing methods to solve the problem of creating a clean plate. On the basis of a set of photos taken on an identical background, objects that move are removed in such a way as to obtain a photo containing only the background
Computer vision is a field of artificial intelligence (AI) that uses machine learning and neural networks to teach computers and systems to derive meaningful information from digital images, videos and other visual inputs—and to make recommendations or take actions when they see defects or issues.
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