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Python library for streamlined tracking and management of AI training processes.
基于mtcnn和onnxruntime的轻量级人脸检测库,开箱即用,非常方便。
在终端运行如下命令进行安装:
pip install mtcnn-runtime
本项目只针对python3.8以上版本进行维护
安装完毕以后,可在python代码中加入如下内容进行使用:
import cv2
from mtcnnruntime import MTCNN, draw_faces
mtcnn = MTCNN()
path="你的图像路径"
img = cv2.imread(path)
boxes, landmarks = mtcnn.detect(img)
# 并且, 你可以使用如下方式进行绘制
img_show = draw_faces(img, boxes, landmarks)
FAQs
Python library for streamlined tracking and management of AI training processes.
We found that mtcnn-runtime demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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