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streamvideo.py
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streamvideo.py
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import numpy as np
import cv2
import boto3
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
name = "Desconocido"
bucket = "camiloin"
def getvideorekognition():
print("Ingrese 1: Si quiere verificar persona")
option = input()
if option == 1:
file_im = raw_input("Ingrese nombre de imagen de persona a verificar: ")
name = raw_input("Ingrese nombre de la persona")
client=boto3.client('rekognition')
cap = cv2.VideoCapture(0)
while 1:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
#with open(img, 'rb') as image:
# response=client.compare_faces(SimilarityThreshold=70,
# SourceImage={'S3Object':{'Bucket':bucket,'Name':file_im}},
# TargetImage={'Bytes': image})
# print(response)
for (x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
cv2.putText(img,name,(x+w-85,y+h+20),cv2.FONT_HERSHEY_COMPLEX_SMALL,0.8,(255, 0, 0))
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
cv2.imshow('img',img)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()