Image to Amogus Converter

Converts given image (.png, .jpg, etc) to an amogus gif!

Usage

Place image in the /target/ folder (or anywhere realistically, assuming you can get its path). Next, type the following into the console:

$ python amogus.py path [-size]

Where path is a required string relating to the path of the target image and -size is an optional parameter relating to the size of the outputted .gif (see -h for details).

$ python amogus.py -h
usage: image_to_amogus [-h] [-size SIZE] path

positional arguments:
  path        Path to target image, where the /target/ folder is the current
              directory.

optional arguments:
  -h, --help  show this help message and exit
  -size SIZE  Integer representing the size length of square images, and the
              length of the shortest side in rectangular images (16 by
              default).

Example

Here's an example of the program run on the Girl with a Pearl Earring.

Examples:

$ python amogus.py example.jpg
example_amogus.gif saved in ../output/ folder. So sussy! ඞ

$ python amogus.py example.jpg -size=8
example_amogus.gif saved in ../output/ folder. So sussy! ඞ

$ python amogus.py example.jpg -size=32
example_amogus.gif saved in ../output/ folder. So sussy! ඞ

$ python amogus.py example.jpg -size=64
example_amogus.gif saved in ../output/ folder. So sussy! ඞ

Converts given image (png, jpg, etc) to amogus gif.

Related tags

Overview

Image to Amogus Converter

Usage

Example

Owner

Hank Magan

This toolkit provides codes to download and pre-process the SLUE datasets, train the baseline models, and evaluate SLUE tasks.

Project for music generation system based on object tracking and CGAN

Py-faster-rcnn - Faster R-CNN (Python implementation)

《K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters》(2020)

Builds a LoRa radio frequency fingerprint identification (RFFI) system based on deep learning techiniques

DUE: End-to-End Document Understanding Benchmark

Rule based classification A hotel s customers dataset

Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning

SGPT: Multi-billion parameter models for semantic search

Codebase for the self-supervised goal reaching benchmark introduced in the LEXA paper

Pytorch implementation for our ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering".

Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

[NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

LogDeep is an open source deeplearning-based log analysis toolkit for automated anomaly detection.

Adaptive FNO transformer - official Pytorch implementation

Generating Radiology Reports via Memory-driven Transformer

Code accompanying the paper Shared Independent Component Analysis for Multi-subject Neuroimaging

The code written during my Bachelor Thesis "Classification of Human Whole-Body Motion using Hidden Markov Models".

This is a collection of our NAS and Vision Transformer work.

PantheonRL is a package for training and testing multi-agent reinforcement learning environments.