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reconhecimento.py
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reconhecimento.py
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import cv2
import time
import face_recognition
import sys
import os
import requests
def reconhecimento():
hierarquia = []
aba = "Sem Cadastrado"
video_capture = cv2.VideoCapture(0)
known_face_encodings = []
known_face_names = []
hierarquias = []
for file in os.listdir('./'):
if file.endswith('.jpg'):
pessoa_image = face_recognition.load_image_file(file)
pessoa_face_encoding = face_recognition.face_encodings(pessoa_image)[0]
known_face_encodings.append(pessoa_face_encoding)
data = file.split('.')[0].split('_')
known_face_names.append(data[0])
if len(data) == 2:
hierarquias.append(data[1])
else:
hierarquias.append('')
# Initialize some variables
face_locations = []
face_encodings = []
face_names = []
process_this_frame = True
while True:
# Grab a single frame of video
ret, frame = video_capture.read()
# Resize frame of video to 1/4 size for faster face recognition processing
small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
# Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
rgb_small_frame = small_frame[:, :, ::-1]
# Only process every other frame of video to save time
if process_this_frame:
#name = aba
# Find all the faces and face encodings in the current frame of video
face_locations = face_recognition.face_locations(rgb_small_frame)
face_encodings = face_recognition.face_encodings(rgb_small_frame, face_locations)
face_names = []
for face_encoding in face_encodings:
# See if the face is a match for the known face(s)
matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
name = aba
# If a match was found in known_face_encodings, just use the first one.
if True in matches:
first_match_index = matches.index(True)
name = known_face_names[first_match_index]
hierarquia = hierarquias[first_match_index]
face_names.append(name)
process_this_frame = not process_this_frame
# Display the results
for (top, right, bottom, left), name in zip(face_locations, face_names):
top *= 4
right *= 4
bottom *= 4
left *= 4
cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
font = cv2.FONT_HERSHEY_DUPLEX
cv2.putText(frame, (name + ' ' + hierarquia), (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)
#acrescentar uma comparação tipo & para evitar que pesseoas
#sem cadastro herdem o nível de acesso de outras pessoas
#print(name, hierarquia)
print(name, hierarquia)
if ('a' in hierarquia) & (name != aba):
print('pode abrir porta a')
#requests.request("GET", "http://192.168.43.67:8888/gpio5on" , data='', headers={'TWFuc3VyOk1hbnN1cjAx': ''} )
#requests.request("GET", "http://192.168.43.67:8888/gpio5off" , data='', headers={'TWFuc3VyOk1hbnN1cjAx': ''} )
if ('b' in hierarquia) & (name != aba):
print('pode abrir porta b')
#requests.request("GET", "http://192.168.43.67:8888/gpio2on" , data='', headers={'TWFuc3VyOk1hbnN1cjAx': ''} )
#requests.request("GET", "http://192.168.43.67:8888/gpio2off" , data='', headers={'TWFuc3VyOk1hbnN1cjAx': ''} )
if ('c' in hierarquia) & (name != aba):
print('pode abrir porta c')
#requests.request("GET", "http://192.168.43.67:8888/gpio4on" , data='', headers={'TWFuc3VyOk1hbnN1cjAx': ''} )
#requests.request("GET", "http://192.168.43.67:8888/gpio4off" , data='', headers={'TWFuc3VyOk1hbnN1cjAx': ''} )
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
cv2.destroyAllWindows()
break