https://github.com/FFRI/FEXRD

Feature Extractor for FFRI Dataset
https://github.com/FFRI/FEXRD

feature-extractor ffri-dataset

Last synced: 7 days ago
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Feature Extractor for FFRI Dataset

• Host: GitHub
• URL: https://github.com/FFRI/FEXRD
• Owner: FFRI
• License: apache-2.0
• Created: 2020-10-16T04:25:32.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2024-08-05T03:47:42.000Z (3 months ago)
• Last Synced: 2024-08-06T04:14:24.414Z (3 months ago)
• Topics: feature-extractor, ffri-dataset
• Language: Python
• Homepage: https://ffri.github.io/FEXRD/
• Size: 10.9 MB
• Stars: 5
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Feature EXtractor for FFRI Dataset (FEXRD)

=======================================

[![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)

![python ci](https://github.com/FFRI/FEXRD/workflows/python%20ci/badge.svg)

Make feature vectors from FFRI Dataset

Requirements

---------------------------------------

- Python (3.12)

- Poetry (for building from scratch)

Install

---------------------------------------

You can install FEXRD as follows. We recommend that you create a virtual environment before the following instructions.

```

$ pip install https://github.com/FFRI/FEXRD/releases/download/v2024.1/fexrd-2024.1-py3-none-any.whl

```

Alternatively, you can build from source code as follows.

```

$ git clone https://github.com/FFRI/FEXRD.git

$ cd FEXRD

$ poetry install

$ python

>>> import json

>>> from fexrd import LiefFeatureExtractor

>>> lfe = LiefFeatureExtractor()

>>> fin = open("ffridataset_sample.json", "r")

>>> obj = json.loads(fin.read())

>>> lfe.get_features(obj["lief"])

```

How to use?

---------------------------------------

See the [documentation](https://ffri.github.io/FEXRD/) for more details.

Author

---------------------------------------

Koh M. Nakagawa. © FFRI Security, Inc. 2020--2024

Yuki Mogi. © FFRI Security, Inc. 2024