Compositional Sketch Search

Last update: Sep 06, 2021

Related tags

Deep Learning compsketch

Overview

Compositional Sketch Search

Official repository for ICIP 2021 Paper: Compositional Sketch Search

Requirements

Install and activate conda environment

conda env create -f env.yml
conda activate compsketch
cd src

If you're having trouble with installation, try changing faiss-gpu to faiss-cpu in env.yml.

Indexing

Either download faiss index for OpenImages or Unsplash indexes here and place them in indexes/ or index your own dataset like so:

python indexing.py --root PathToImages --name IndexName

Searching

Run the streamlit app

streamlit run streamlit_app.py

If you are using a custom dataset:

Pick 'Custom' in the Dataset selection box.
Pick index file in the second selection box.
Paste the same dataset root you used during indexing.

Sketch objects, using one colour per object. Press "Search" to see results!

Troubleshooting

On a Mac, I had to run this command to make it work

export KMP_DUPLICATE_LIB_OK=TRUE

Owner

Alexander Black

PhD student at University of Surrey CVSSP | Adobe Content Authenticity Initiative - Video Content Authenticity

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Compositional Sketch Search

Related tags

Overview

Compositional Sketch Search

Requirements

Indexing

Searching

Troubleshooting

Owner

Alexander Black

Tensorflow implementation of Character-Aware Neural Language Models.

A Comprehensive Study on Learning-Based PE Malware Family Classification Methods

Neural Network to colorize grayscale images

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Computationally efficient algorithm that identifies boundary points of a point cloud.

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Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data

[NeurIPS'21 Spotlight] PyTorch code for our paper "Aligned Structured Sparsity Learning for Efficient Image Super-Resolution"

This is a classifier which basically predicts whether there is a gun law in a state or not, depending on various things like murder rates etc.

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