Nilutpol Kashyap
Published © MIT

Person and Face Detection using Intel OpenVINO toolkit

People and Face Detection in Video for Security Surveillance using the Intel Distribution of OpenVINO toolkit.

IntermediateProtip3 days2,422

Things used in this project

Software apps and online services

OpenVINO™ toolkit
Intel OpenVINO™ toolkit
Python 3

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Code

main.py

Python
Main Code for People and Face Detection Using Intel OpenVINO toolkit
import cv2 

net2 = cv2.dnn.readNet('person-detection-retail-0013.bin', 'person-detection-retail-0013.xml')
net = cv2.dnn.readNet('face-detection-adas-0001.bin', 'face-detection-adas-0001.xml')

cap = cv2.VideoCapture("video1.mp4")

font = cv2.FONT_HERSHEY_SIMPLEX

while cv2.waitKey(1) < 0:
    hasFrame, frame = cap.read()
    frame = cv2.resize(frame,(1280,720),fx=0,fy=0, interpolation = cv2.INTER_CUBIC)
    if not hasFrame:
        break

    face_blob = cv2.dnn.blobFromImage(frame, size=(672, 384))
    net.setInput(face_blob)
    out_face = net.forward()

    for detection in out_face.reshape(-1, 7):
        confidence = float(detection[2])
        xmin = int(detection[3] * frame.shape[1])
        ymin = int(detection[4] * frame.shape[0])
        xmax = int(detection[5] * frame.shape[1])
        ymax = int(detection[6] * frame.shape[0])

        if confidence > 0.5:
            cv2.rectangle(frame, (xmin, ymin), (xmax, ymax), color=(0, 255, 0))
            cv2.putText(frame,'FACE',(xmin, (ymin-10)),font, 0.4,(0, 255, 255),1,cv2.LINE_AA) 

    person_blob = cv2.dnn.blobFromImage(frame, size=(672, 384))
    net2.setInput(person_blob)
    out_person = net2.forward()

    for detection in out_person.reshape(-1, 7):
        confidence2 = float(detection[2])
        xmin2 = int(detection[3] * frame.shape[1])
        ymin2 = int(detection[4] * frame.shape[0])
        xmax2 = int(detection[5] * frame.shape[1])
        ymax2 = int(detection[6] * frame.shape[0])

        if confidence2 > 0.6:
            cv2.rectangle(frame, (xmin2, ymin2), (xmax2, ymax2), color=(0, 255, 0))
            
            cv2.putText(frame,'PERSON',(xmin2, (ymin2-10)),font, 0.4,(0, 255, 255),1,cv2.LINE_AA) 
    cv2.imshow('OpenVINO face detection', frame)

Main Repository - person_and_face_detection - Nilutpol Kashyap

Credits

Nilutpol Kashyap

Nilutpol Kashyap

6 projects • 9 followers
I Like to BREAK and MAKE Things....... Github: https://github.com/nilutpolkashyap

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