MemeFinder

Meme Retrieval Engine

Project Description

Technologies employed

• Image Processing
• Machine Learning
• Natural Language Processing
• Shell Scripting

Collection

The memes are collected from popular subreddits using a scraper script scrape/scraper.py

Standardization

• The memes collected are put in raw folder and the script standard.py is run
• Each file name is extracted and stored in a text file next to the new hex based filename generated for the image
• The standardized images are stored in the processed folder

Query Extraction

• The entered query is split into words and synonyms for each word is added to the list of related queries using the nltk library
• We scan the database to match words with the words in related queries
• This broadens the search area and minimizes zero output scenarios

Relevance to query

• The memes are ordered in order of their relevance to the search query
• This is done by assigning a score to each meme present in the database and then sorting in descending order of scores

Optical Character Recognition

• OCR is done using Tesseract to extract text from the memes which is an essential part of the project
• The extracted text are not perfectly accurate so the output from ocr is fed into the spellchecker of the Python autocorrect library
• The spellchecker makes the conversion more accurate

Quick Testing

To run the GUI and test the functionalities, simply type

sudo bash run.sh

Collect and Run

• To collect the memes from subreddits

sudo bash collect.sh

• The bash script prepares the database which allows the Meme Engine to function properly
• To run the Meme Retrieval Engine (Meme Finder) type

sudo bash run.sh

• Enter the query in the text field and click on Go
• The memes are sorted based on relevance
• The selected memes can be browsed using the Next and Previous buttons

Add new subreddits to the list

sudo bash add.sh

Requirements

• cv2 (OpenCV)
• pytesseract
• nltk
• PIL
• hashlib
• shutil
• autocorrect
• pymongo

Future Improvements

• Adding functionality to the progress bar
• Correct the size scaling of memes for display on the canvas
• Adding feature to flush stored memes
• Storing popular meme templates and checking images for similarity and associating special keywords

Documentation

MemeFinder documentation