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image-and-text-search's Introduction

CCA used for Image to Tag and Tag to Image Search

Implementation of this paper http://slazebni.cs.illinois.edu/publications/yunchao_cca13.pdf
Using CNN features.

You will need to have the MS COCO database and give path to the db folder in some python files.

Make sure to use python 3

1. Install dependencies

Install pycocotools and other python dependencies

git clone https://github.com/pdollar/coco.git && cd coco/PythonAPI && make install && pip3 install -e .
pip3 install --upgrade gensim nltk numpy torch torchvision tqdm Pillow scikit-image
python3 -m nltk.downloader stopwords

2. Extract image and text features from COCO

mkdir features
python3 Helper/extractTextFeatures.py --dataset-path /path/to/coco
python3 Helper/extractImageFeatures.py --dataset-path /path/to/coco

3. Compute CCA

python3 main.py --output CCA_0

4. Test CCA

Try:

python3 I2T.py --name CCA_0.npy
# or
python3 T2I.py --name CCA_0.npy

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