ai-visual-storytelling-seq2seq
Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html
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- example_data_reader.py
- image_data_reader.py
- image_mean_calculation.py
- image_util.py
- sis_datareader.py
- caffe_classes.py
- myalexnet_forward_newtf.py
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- show_story.html
- mean.json
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- vist2017_vocabulary.json
- word_frequencies.json
- __init__.py
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- meteor.py
- multi-bleu.perl
- nlp.py
- reference.py
- scorer.py
- scores.py
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- slika1.png
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- slika3.png
- slika4.png
- model_results.csv
- original_story_train.txt
- original_story_valid.txt
- original_test.txt
- original_train.txt
- original_valid.txt
- __init__.py
- util.py
- .gitignore
- __init__.py
- architecture_horizontal.jpg
- custom_cells.py
- dataset_visualization.py
- experiments
- inference_model.py
- model_data_generator.py
- model_scores.py
- README.md
- result_visualisation.py
- seq2seqbuilder.py
- story_visualization.py
- test_script.py
- training_model.py
# Installation Guide
1. Get the code
git clone https://github.com/Pendulibrium/ai-visual-storytelling-seq2seq
Downloads the entire project code from GitHub to your computer.
cd ai-visual-storytelling-seq2seq
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install opencv-python
Installs the package published on PyPI directly β no need to clone the source.
pip install h5py
Installs the package published on PyPI directly β no need to clone the source.
pip install unidecode
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
// repository documentation
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