YuNetのPythonでのONNX、TensorFlow-Lite推論サンプル
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Updated
Nov 17, 2021 - Python
YuNetのPythonでのONNX、TensorFlow-Lite推論サンプル
A real-time face and object detection with gender classification and virtual glasses overlay.
Detecting and anonymizing human faces in images using deep learning models (YuNet) and OpenCV.
Cluster Face sorts images based on the faces in it.
Yunet is one of the fastest (maybe lightest) face detection in the world with only 75M params but achieve pretty well performance. There are some thing we can improve on top of it and this repo is to do so.
YUNet evaluation on WIDERFace dataset
Real-time Multi-face Tracking in TouchDesigner with OpenCV & YuNet
YUNet implementation using PyTorch
My learning on the AI field also working on several Google Colab Notebooks
Advanced Face Recognition System: A Comparative Analysis
Real-time face recognition using YuNet and ArcFace
python, raspberry pi 3, depthai, opencv, numpy, oak d lite, servo motor, computer vision, robotics & AI, autonomous robot application(UGV & UAV)
Machine Learning CNN model for age recognition
The AWS Face Detection & Rekognition API is called everytime, Yunet detects that number of persons in the frame have changed. This reduces API calls to AWS as we don't need to make API calls continuously for each frame.
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