This script runs neural style transfer against the provided content image.

Overview

Neural Style Transfer

Content Style Output

Description:

This script runs neural style transfer against the provided content image. The content image must be present in the src/data/content directory. All style images, that are in the directory src/data/style will be applied against it. The outputs will be saved in generated/ directory as .png files. By default, the input images (both style and content images, as they must be of the same dimensionality) will be transformed to the 512x512 size for the algorithm, and output image will be of size 512x512 as well. To change that, please use additional script arguments.

The neural networks architecture is based on the documentation provided by PyTorch, which itself uses Neural-Style algorithm developed by Leon A. Gatys, Alexander S. Ecker and Matthias Bethge.

Usage examples:

./main.py -i 
   
   
    
    
./main.py --image 
    
    
     
     
python3 main.py -i 
     
     
      
      
python3 main.py --image 
      
      
       
       

./main.py -i 
       
       
         -he 1024 -wi 1024 ./main.py --image 
        
          -height 1024 -width 1024 
         
       
      
      
     
     
    
    
   
   

Script arguments:

Required arguments:
  -i IMAGE, --image IMAGE
                        Content image to be taken as input. The file must be present in src/data/content.

Optional arguments:
  -h, --help            Show help message and exit.
  -he HEIGHT, --height HEIGHT
                        Sets the height of the input and output images. The default value is 512.
  -wi WIDTH, --width WIDTH
                        Sets the width of the input and output images. The default value is 512.

Setup

Python 3.9 must be installed on the operating system. To install the needed python dependencies run:

pip3 install -r requirements.txt

To run the script as ./main.py -i or to run the linter script, one might need to give executable permissions:

chmod -x main.py
chmod -x ./scripts/lint.sh

To run the black formatter and pylint linter, please run:

./scripts/lint.sh

The script ./scripts/lint_check.sh will be run as GitHub action, and will fail if any possible changes are detected.

Owner
Martynas Subonis
Full-Stack Software Engineer
Martynas Subonis
Comp445 project - Data Communications & Computer Networks

COMP-445 Data Communications & Computer Networks Change Python version in Conda

Peng Zhao 2 Oct 03, 2022
[CVPR 2020] Transform and Tell: Entity-Aware News Image Captioning

Transform and Tell: Entity-Aware News Image Captioning This repository contains the code to reproduce the results in our CVPR 2020 paper Transform and

Alasdair Tran 85 Dec 13, 2022
Indonesian Car License Plate Character Recognition using Tensorflow, Keras and OpenCV.

Monopol Indonesian Car License Plate (Indonesia Mobil Nomor Polisi) Character Recognition using Tensorflow, Keras and OpenCV. Background This applicat

Jayaku Briliantio 3 Apr 07, 2022
Inkscape extensions for figure resizing and editing

Academic-Inkscape: Extensions for figure resizing and editing This repository contains several Inkscape extensions designed for editing plots. Scale P

192 Dec 26, 2022
A program to recognize fruits on pictures or videos using yolov5

Yolov5 Fruits Detector Requirements Either Linux or Windows. We recommend Linux for better performance. Python 3.6+ and PyTorch 1.7+. Installation To

Fateme Zamanian 30 Jan 06, 2023
Implementation of ResMLP, an all MLP solution to image classification, in Pytorch

ResMLP - Pytorch Implementation of ResMLP, an all MLP solution to image classification out of Facebook AI, in Pytorch Install $ pip install res-mlp-py

Phil Wang 178 Dec 02, 2022
Rotation Robust Descriptors

RoRD Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching Project Page | Paper link Evaluation and Datasets MMA : Training on

Udit Singh Parihar 25 Nov 15, 2022
Unsupervised Representation Learning by Invariance Propagation

Unsupervised Learning by Invariance Propagation This repository is the official implementation of Unsupervised Learning by Invariance Propagation. Pre

FengWang 15 Jul 06, 2022
Geometric Algebra package for JAX

JAXGA - JAX Geometric Algebra GitHub | Docs JAXGA is a Geometric Algebra package on top of JAX. It can handle high dimensional algebras by storing onl

Robin Kahlow 36 Dec 22, 2022
Implementing Graph Convolutional Networks and Information Retrieval Mechanisms using pure Python and NumPy

Implementing Graph Convolutional Networks and Information Retrieval Mechanisms using pure Python and NumPy

Noah Getz 3 Jun 22, 2022
Dyalog-apl-docset - Dyalog APL Dash Docset Generator

Dyalog APL Dash Docset Generator o alasa e kili sona kepeken tenpo lili a A Dash

Maciej Goszczycki 1 Jan 10, 2022
Powerful and efficient Computer Vision Annotation Tool (CVAT)

Computer Vision Annotation Tool (CVAT) CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our

OpenVINO Toolkit 8.6k Jan 01, 2023
Hypernetwork-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels The implementation of Hypernet-Ensemble Le

Sungmin Hong 6 Jul 18, 2022
Python Implementation of Chess Playing AI with variable difficulty

Chess AI with variable difficulty level implemented using the MiniMax AB-Pruning Algorithm

Ali Imran 7 Feb 20, 2022
Centroid-UNet is deep neural network model to detect centroids from satellite images.

Centroid UNet - Locating Object Centroids in Aerial/Serial Images Introduction Centroid-UNet is deep neural network model to detect centroids from Aer

GIC-AIT 19 Dec 08, 2022
Highway networks implemented in PyTorch.

PyTorch Highway Networks Highway networks implemented in PyTorch. Just the MNIST example from PyTorch hacked to work with Highway layers. Todo Make th

Conner Vercellino 56 Dec 14, 2022
Pytorch implementation of AREL

Status: Archive (code is provided as-is, no updates expected) Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement

8 Nov 25, 2022
[ICML 2020] DrRepair: Learning to Repair Programs from Error Messages

DrRepair: Learning to Repair Programs from Error Messages This repo provides the source code & data of our paper: Graph-based, Self-Supervised Program

Michihiro Yasunaga 155 Jan 08, 2023
Real-time Joint Semantic Reasoning for Autonomous Driving

MultiNet MultiNet is able to jointly perform road segmentation, car detection and street classification. The model achieves real-time speed and state-

Marvin Teichmann 518 Dec 12, 2022
Code for Overinterpretation paper Overinterpretation reveals image classification model pathologies

Overinterpretation This repository contains the code for the paper: Overinterpretation reveals image classification model pathologies Authors: Brandon

Gifford Lab, MIT CSAIL 17 Dec 10, 2022