Near-Infrared and Visible-Light (NIVL) Dataset
Project description
Near-Infrared and Visible-Light (NIVL) Dataset
This package contains the access API and descriptions for the Near-Infrared and Visible-Light (NIVL) Dataset <http://www3.nd.edu/~kwb/face_recognition.htm>. The actual raw data for the database should be downloaded from the original URL. This package only contains the Bob accessor methods to use the DB directly from python, with the original protocol of the database.
NIVL is for research on VIS-NIR face recognition. It includes 574 identities faces captured in both VIS and NIR.
Bernhard, John, et al. “Near-IR to Visible Light Face Matching: Effectiveness of Pre-Processing Options for Commercial Matchers.”
Installation
Follow our installation instructions. Then, to install this package, run:
$ conda install bob.db.nivl
Contact
For questions or reporting issues to this software package, contact our development mailing list.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file bob.db.nivl-1.0.2.zip.
File metadata
- Download URL: bob.db.nivl-1.0.2.zip
- Upload date:
- Size: 38.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 80cd839c6b86563258da43eb5c30e56766c39f6be06bacaf5aa8b88d48d336d6 |
|
| MD5 | fc014aee29db68263caad2373a4b32ad |
|
| BLAKE2b-256 | 22c820a29977bfdc74d1dbd844715069146bb1191b052a29b08a69d4495c7f2f |
