ibaigorordo / blazeface-tflite-inference

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

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).

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-tflite-inference's Issues

What is the flops, quantization precision and standard inference time for the provided tflight models?

Hi,

I want to know what is flops, quantization precision, and standard inference time for the provided models: face_detection_back.tflite and face_detection_front.tflite?

can you please provide the above infos?. Thanks!

训练

您好，请问能提供一下训练脚本吗？[email protected]，感谢