A package to help you utilise landmarks in the face_landmark feature of google open source mediapipe.
Project description
py_face_landmark_helper
A package to help you utilise landmarks in the face_landmark feature of google open source mediapipe.
Installation
To install the mediapipe_helper library, you can use pip:
pip install mediapipe_helper
or
git clone https://github.com/LearningnRunning/py_face_landmark_helper
python setup.py install
from mediapipe_helper import face_landmark_helper
# Create an instance of FaceMeshProcessor
face_mesh_processor = face_landmark_helper.FaceLandmarkProcessor()
img_path = ""
# Call the convert_landmark method to get the face landmarks
face_landmarks = face_mesh_processor.convert_landmark(img_path)
License
mediapipe_helper is provided under the Apache License 2.0.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file mediapipe_helper-0.0.1.tar.gz
.
File metadata
- Download URL: mediapipe_helper-0.0.1.tar.gz
- Upload date:
- Size: 9.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7e69be7bfafde31c75140e803d2602ca8600c30efe76e3fe44f3a481705a15a2 |
|
MD5 | 797387e768fccc19d80550906372fc72 |
|
BLAKE2b-256 | 1a394424257d4f18959846888f2efd4bb97469a4189ae58ab61e676711d9f3cb |
File details
Details for the file mediapipe_helper-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: mediapipe_helper-0.0.1-py3-none-any.whl
- Upload date:
- Size: 9.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b388083fb28654ccde043911569db64bc460c7590c3011eb16b760518574f9fb |
|
MD5 | f07170d9dbb6ea578232a69fb661f65d |
|
BLAKE2b-256 | 5a993d1724d82306de12cc7d5ba2e14a4c5016eb95599d3bd7bf72009c2fdcbd |