Meme Research

Table 2 NetExtract a network from a table. Set a column for nodes and a column for edges. It deals with multiple items per cell.Table2Net allows you to get a network from a table. You will get a GEXF file that you can visualize and analyze with Gephi.https://github.com/medialab/table2net

ImageXVisual Computing Group @ HTW BerlinImageX is an application to visually explore and search your private image collection. It runs on all common operating systems and consumer hardware. The entire image gallery of a user is transformed into a hierarchical image graph. A new navigation scheme allows exploration of this complex data structure in an intuitive way similar to mapping services such as Google Maps. Images do not need to be tagged to be searched by 14000 common keywords.https://visual-computing.com/project/imagex/

Offline Image Query and Extraction ToolOffline Image Query and Extraction Tool serves the study of visual content for social or media research but it is not limited to this purpose. It allows researchers to use the image name file as query, helping them to navigate visual content according to its different characteristics, such as:- Image query according to user accounts or link domains (the site of image creation or appearance)- Image query according to engagement metrics, e.g. shares, comments, views, likes, re-tweets, etc. (the site of image audiencing)- Image query according to computer vision outputs, e.g. labels, top-level link domains, web entities, not safe for work content, etc. (the content of the image itself or sites of image circulation)- Image query according to published time, date, month or yearThis tool was created as a response to the short life of online image URLs, allowing researchers to explore and analyse specific collections of images on demand.https://github.com/jason-chao/offline-image-query

4CAT: Capture and Analysis Toolkit4CAT is a research tool that can be used to analyse and process data from online social platforms. Its goal is to make the capture and analysis of data from these platforms accessible to people through a web interface, without requiring any programming or web scraping skills. Our target audience is researchers, students and journalists interested using Digital Methods in their work.In 4CAT, you create a dataset from a given platform according to a given set of parameters; the result of this (usually a CSV or JSON file containing matching items) can then be downloaded or analysed further with a suite of analytical 'processors', which range from simple frequency charts to more advanced analyses such as the generation and visualisation of word embedding models.https://github.com/digitalmethodsinitiative/4cat

Memespector-GUIMemespector-GUI is a cross-platform client for computer vision APIs with a graphical user interface. Memespector-GUI supports Google Cloud Vision API, Microsoft Azure Cognitive Services, Clarifai Computer Vision and an API for Keras' built-in open source models.https://github.com/jason-chao/memespector-gui

clip-interrogatorThe CLIP Interrogator is a prompt engineering tool that combines OpenAI's CLIP and Salesforce's BLIP to optimize text prompts to match a given image. Use the resulting prompts with text-to-image models like Stable Diffusion on DreamStudio to create cool art!https://github.com/pharmapsychotic/clip-interrogator

EasyOCRReady-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. https://github.com/JaidedAI/EasyOCR

“Tesseract” vs “Keras-OCR” vs “EasyOCR”Jul 2021Which one is best for Optical Character Recognition?Optical Character Recognition is one of the common use cases in Deep Learning. Ex: Converting Hand written prescription, Vehicle Number Plate Identification, PDF or Image to text conversion, Signature Verification etc.In Market, we have some very good paid API services for OCR like Amazon Textract, Microsoft's cognitive service, Google cloud vision, etc. Sametime, Pytesseract, easyocr, & Keras-OCR are good open-source APIs that are freely available. They also gave good results similar to other paid API services. In this article, we are going to see how to set up them, use them and how they perform for different use cases.https://medium.com/mlearning-ai/tesseract-vs-keras-ocr-vs-easyocr-ec8500b9455b

Journal of Memetics - Evolutionary Models of Information TransmissionFeb 2002List of all JoM-EMIT Articleshttps://cfpm.org/jom-emit/all.html

Anarchist Memes DatabaseSearchable database for anarchist memeshttps://t.me/anarkidatabase

InstaloaderInstaloader is a tool to download pictures (or videos) along with their captions and other metadata from Instagram.- downloads public and private profiles, hashtags, user stories, feeds and saved media,- downloads comments, geotags and captions of each post,- automatically detects profile name changes and renames the target directory accordingly,- allows fine-grained customization of filters and where to store downloaded media,- automatically resumes previously-interrupted download iterations,- is free open source software written in Python.https://instaloader.github.io/

pytextractor2022python ocr using tesseract with EAST opencv text detectorhttps://github.com/danwald/pytextractor

OpenCV Text Detection (EAST text detector)Aug 2018In this tutorial you will learn how to use OpenCV to detect text in natural scene images using the EAST text detector.OpenCV’s EAST text detector is a deep learning model, based on a novel architecture and training pattern. It is capable of (1) running at near real-time at 13 FPS on 720p images and (2) obtains state-of-the-art text detection accuracy.In the remainder of this tutorial you will learn how to use OpenCV’s EAST detector to automatically detect text in both images and video streams.https://pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/

Image Stacks and iPhone Racks - Building an Internet Scale Meme Search EngineJan 2023https://findthatmeme.com/blog/2023/01/08/image-stacks-and-iphone-racks-building-an-internet-scale-meme-search-engine-Qzrz7V6T.html

Goebbels' Principles of PropagandaJan 1950For almost a dozen years German Propaganda Minister Goebbels was recognized as a master of his trade by those who fought and by those who acclaimed the Nazi state. This article, based on both the published and unpublished portions of Goebbels' diary, summarizes the major propaganda principles which he followed. The author, who served as Policy Coordinator of the Overseas Branch of the Office of War Information during World War II, is Professor of Psychology at Yale University.https://sci.bban.top/pdf/10.1086/266211.pdf