https://github.com/ffri/fexrd
Feature Extractor for FFRI Dataset
https://github.com/ffri/fexrd
feature-extractor ffri-dataset
Last synced: about 2 months 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 (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-08-05T03:47:42.000Z (10 months ago)
- Last Synced: 2024-11-07T01:39:16.237Z (7 months ago)
- Topics: feature-extractor, ffri-dataset
- Language: Python
- Homepage: https://ffri.github.io/FEXRD/
- Size: 10.9 MB
- Stars: 5
- Watchers: 2
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
Feature EXtractor for FFRI Dataset (FEXRD)
=======================================
[](http://mypy-lang.org/)
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/v2024.2/fexrd-2024.2-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