Skip to main content

face_picture_comparator

Description.

The package face_picture_comparator is used to:

- Delimit face
- Confront faces
- Confront faces message
- Plot image
- Plot result
- Get image file

Installation

Use the package manager pip to install face_picture_comparator

pip install face_picture_comparator

Usage

from face_picture_comparator import load_img

image = load_img.get_image_file("my_image.jpg")
image = load_img.delimit_face(image)

# delimit_face returns an image with a rectangle delimiting the first face detected in the input image

# the image containing the contour of the face should not be used as input to face comparison methods 
# (confront_faces_message and confront_faces)
from face_picture_comparator import load_img
from face_picture_comparator import comparation
from face_picture_comparator import plot

image = load_img.get_image_file("my_image.jpg")
image_compare = load_img.get_image_file("other_image.jpg")
message_result = comparation.confront_faces_message(image, image_compare)

# result_confront_faces returns a string informing whether or not the faces belong to the same person and the distance between them

comparison_result = comparation.confront_faces(image, image_compare)
# returns a tuple where the first value is a boolean, which says whether or not the faces belong to the same person, and the second 
# value is a float that represents the distance between the faces

plot.plot_result(image, image_compare, message_result)

# plot_result displays the images and the massage using matplotlib library
from face_picture_comparator import load_img
from face_picture_comparator import plot
image = load_img.get_image_file("my_image.jpg")
plot.plot_image(image)

# plot_image displays the image using matplotlib library

Author

Ronaldo Nunes

License

MIT

Metadata

Release files for face-picture-comparator 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for face-picture-comparator 0.0.4
File Size Uploaded Provenance Actions
face_picture_comparator-0.0.4.tar.gz 2.8 kB Without provenance Details for face_picture_comparator-0.0.4.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for face-picture-comparator 0.0.4
File Interpreter ABI Platform Actions
face_picture_comparator-0.0.4-py3-none-any.whl Python 3 none any Details for face_picture_comparator-0.0.4-py3-none-any.whl

Total release size: 8.0 kB

Release files / face_picture_comparator-0.0.4.tar.gz

Download URL face_picture_comparator-0.0.4.tar.gz
Size 2.8 kB
Tags Source
SHA-256 checksum
How to use checksums
dfad05f381bd3afaaa16a4f50b8b64264ca1fd03b315270025e0cdf79849e3f6
BLAKE2b-256 checksum
How to use checksums
253d3af82153976800f4cec69f190f5804131d9f9b22c37b28a34f727ea98d67
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.12

Release files / face_picture_comparator-0.0.4-py3-none-any.whl

Download URL face_picture_comparator-0.0.4-py3-none-any.whl
Size 5.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
72c13b5d0565e277e0a2a8d4492b25c8cc0f5c7edf031c00805993cb8011e898
BLAKE2b-256 checksum
How to use checksums
0a4255ad65cac734a2dbf100189ac730eba439ad7e107fe201a0013a1c6f4fb2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.12

Security for face-picture-comparator 0.0.4

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page