MsParvika / Image-Processing

Compares different distance measures to find similarity between images using textual features of images (Flickr Database) and also uses K-Means

Image Processing

The project experiments with • text and image features, • vector models, and • similarity/distance measures

Not meant to be Copied

Getting Started

- Open a terminal. Browse into Project directory -Image Processing
 - For Windows: Type "RunMe.py"
 - For Mac and Linux: Type "python ./RunMe.py"
Note: Project creates a local connection(localhost:27017) with MongoDb and creates/uses DataBase name "ImageProcessing"

Format of the input

• Inputs except Directory Path should be space separated.
• The model type name should be all in upper case e.g. Command: Enter directory path Input: C:\Users\abc\OneDrive\Documents\devSet Command: Enter task Number Input:1 Command: Enter id,type and k Input:abc@N00 TF 3 (space separated, uppercase Model name)

Prerequisites

• Python 3 or better should be installed and configured on the system
• MongoDb v4.0.2 should be installed and configured

Libraries Required

math
pymongo
xml.etree.ElementTree
sklearn.Kmeans
pandas

Author

Parvika Singhal [e-mail]