Python scripts to detect faces in Python with the BlazeFace Tensorflow Lite models

Related tags

Deep Learning python face-detection facedetection tensorflow-lite tflite tensorflow2 blazeface
Overview

BlazeFace TFLite Inference

Python scripts to detect faces using Python with the BlazeFace Tensorflow Lite models. Tested on Windows 10, Tensorflow 2.4.0 (Python 3.8).

!BlazeFace detection tflite

Requirements

  • OpenCV, Numpy and tensorflow 2. pafy and youtube-dl are required for youtube video inference.

Installation

conda create -n blazeFace python=3.8 -y
conda activate blazeFace
conda install numpy opencv tensorflow -y
pip install pafy youtube-dl

Model types

  • Front: Input size 128 x 128, faster but lower accuracy.
  • Back: Input size 256 x 256, higher accuracy but slower.

Examples

  • Image inference:
python imageFaceDetection.py
  • Webcam inference:
python webcamFaceDetection.py
  • Video inference:
python videoFaceDetection.py

!BlazeFace detection tflite video

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Comments
Owner
Ibai Gorordo
Ibai Gorordo
GitHub
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