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我正在尝试使用 Heroku 上托管的 OpenCV、Flask 和人脸识别来制作网络应用程序。在本地主机上，一切正常，但在 Heroku 上，我无法打开客户端摄像头。我知道我需要 javascript 或 WebSocket 来实现这一点。 我只能用 javascript 找到如何从浏览器上的摄像头流式传输，这对我不利，因为我需要打开 OpenCV 框架进行人脸检测和识别。另外，我一直在寻找 WebSocket 和 flask-socket，但它们只发送消息，不发送视频。
这是我的代码: 应用.py
'''Face Detection Login App '''
import random, string
import face_recognition
import cv2
import glob
from flask import Flask, render_template, redirect, url_for
app = Flask(__name__)
@app.route('/')
def index():
render_template('home.html')
@app.route('/article')
def article():
return render_template('article.html')
@app.route('/registered')
def registered():
return render_template('registered.html')
@app.route('/reject')
def reject():
return render_template('reject.html')
@app.route('/login', methods=["GET", "POST"])
def login():
page_name = 'reject'
video_capture = cv2.VideoCapture(0)
# Load faces
faces = 'faces/*.jpg*'
face = glob.glob(faces)
for fn in face:
try_image = face_recognition.load_image_file(f'{fn}')
print(f'{fn}')
try_face_encoding = face_recognition.face_encodings(try_image)
if not try_face_encoding:
print("No face found on the image")
return redirect(url_for(page_name))
try_face_encoding = try_face_encoding[0]
# Array of faces
known_face_encodings = [
try_face_encoding,
]
face_locations = []
face_encodings = []
process_this_frame = True
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)
rgb_small_frame = small_frame[:, :, ::-1]
if process_this_frame:
face_locations = face_recognition.face_locations(rgb_small_frame)
face_encodings = face_recognition.face_encodings(
rgb_small_frame, face_locations)
for face_encoding in face_encodings:
matches = face_recognition.compare_faces(
known_face_encodings, face_encoding)
if True in matches:
first_match_index = matches.index(True)
page_name = 'article'
break
# if user is NOT found release the capture and redirect
video_capture.release()
cv2.destroyAllWindows()
return redirect(url_for(page_name))
# Register
@app.route('/register', methods=["GET", "POST"])
def register():
video_capture = cv2.VideoCapture(0)
faceCascade =
cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
while(True):
ret, frame = video_capture.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
if w <= 200:
x = 0
y = 20
text_color = (0, 255, 0)
cv2.putText(
frame, "Please get closer", (x, y),
cv2.FONT_HERSHEY_PLAIN, 1.0, text_color, thickness=1
)
else:
x = 0
y = 20
text_color = (0, 255, 0)
cv2.putText(
frame, "Press q to take image", (x, y),
cv2.FONT_HERSHEY_PLAIN, 1.0, text_color, thickness=1
)
cv2.imshow('frame', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
image_name = str(random.randint(1, 100))
cv2.imwrite(f'faces/{image_name}.jpg', frame)
# cv2.imwrite('faces/try.jpg', frame)
break
video_capture.release()
cv2.destroyAllWindows()
return redirect(url_for('registered'))
if __name__ == '__main__':
app.secret_key = 'secret123'
app.config['SESSION_TYPE'] = 'filesystem'
app.run()
我的 HTML 很简单。页面显示要使用两个调用功能登录和注册的按钮进行注册或登录
如有任何帮助，我们将不胜感激。 谢谢