Face Recognition Using YOLOv7

 

                                   INTRODUCTION

YOLOv7 algorithms can be used to recognize and track objects as they move through a production line, allowing for more efficient and accurate manufacturing. Additionally, object detection is used for quality control and defect detection in products or components as they are being manufactured.

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Face Recognition Using YOLOv7 

from roboflow import Roboflow

rf = Roboflow(api_key="riMiboxeLKguBWpBlc7J")

project = rf.workspace().project("real-time-facial-recognition")

model = project.version(1).model

# infer on a local image

print(model.predict("b.jpg", confidence=40, overlap=30).json())

# visualize your prediction

model.predict("b.jpg", confidence=.......

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https://tpi.li/faceyolov7

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