Face and iris detection for Python based on MediaPipe
This release fixes Issue #13 by updating to the latest version of pillow. This change should fix any issues with using the library in hosted environments with preinstalled dependencies.
pip install -U face-detection-tflite
This package contains a Python port of some Google® MediaPipe models - namely Face Detection, Face Landmark, and Iris Landmark.
• @ibaiGorordo added three new face detection models
• new detection model FaceDetectionModel.SHORT
for close-up images (i.e. faces within 2 metres from the camera)
• new detection model FaceDetectionModel.FULL
- a dense model best suited for faces within 5 metres from the camera
• new detection model FaceDetectionModel.FULL_SPARSE
- a sparse model best suited for faces within 5 metres from the camera that
runs up to 30% faster on CPUs than the dense version
This package contains a Python port of some Google® MediaPipe models - namely Face Detection, Face Landmark, and Iris Landmark.
DivideByZeroError
You can install this release via PyPI:
pip install face-detection-tflite==0.4.0
This package contains a Python port of some Google® MediaPipe models - namely Face Detection, Face Landmark, and Iris Landmark.
update_face_landmarks_with_iris_results()
were wrong (Issue #2)face_landmarks_to_render_data()
for convenienceYou can install this release via PyPI:
pip install face-detection-tflite==0.3.0
This package contains a Python port of some Google® MediaPipe models - namely Face Detection, Face Landmark, and Iris Landmark.
examples
module caused a warning when using the iris recolouring example from the CLIYou can install this release via PyPI:
pip install face-detection-tflite==0.2.0
This package contains a Python port of some Google® MediaPipe models - namely Face Detection, Face Landmark, and Iris Landmark.
You can install this release via PyPI:
pip install face-detection-tflite==0.1.0