Flask应用程序可在本地服务器上运行，但不能全局运行

如何解决Flask应用程序可在本地服务器上运行，但不能全局运行

这些是我的路线和一些功能：

from flask import Flask,render_template,Response
import cv2
import time
from sys import stdout
from flask_socketio import SocketIO
import math
import numpy as np
import logging
import os
from camera import VideoCamera

app = Flask(__name__)
app.logger.addHandler(logging.StreamHandler(stdout))

app.config['SECRET_KEY'] = 'b13ce0c6768bb0b280bab13ceb13ce0cde280ba0c676dfde280ba245676dfde280ba0c676dfde280ba245'
app.config['DEBUG'] = True
socketio = SocketIO(app)

@socketio.on('connect',namespace='/test')
def test_connect():
    app.logger.info("client connected")


@app.route('/',methods = ['GET','POST'])
def index():
    """Video streaming home page."""
    return render_template('index.html')

def gen(camera):
    while True:
        data= camera.get_frame()

        frame=data[0]
        yield (b'--frame\r\n'
               b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n\r\n')

@app.route('/video_feed')
def video_feed():
    return Response(gen(VideoCamera()),mimetype='multipart/x-mixed-replace; boundary=frame')

@app.route('/golden_ratio_calculating','POST'])
def calculate():
    ratio = main()
    return render_template('golden_calc_page.html',ratio123 = ratio)


if __name__ == '__main__':
    port = int(os.environ.get('PORT',5000))
    socketio.run(app,port = port)

在下面的代码中，我使用了 WebcamVideoStream（src = 0）.start（）。在这个src = 0上在本地服务器上工作正常，但是当我在heroku上部署它时，它没有打开摄像头（即它没有在heroku服务器上检测到摄像头）。检查此处（网页）： https://golden-ratio-calculator.herokuapp.com/ 。

import cv2
import pickle
from imutils.video import WebcamVideoStream
# import face_recognition
import time
import math
import random
import numpy as np

class VideoCamera(object):
    
    def __init__(self):
        
        # Using OpenCV to capture from device 0.
        

        self.stream = WebcamVideoStream(src = 0).start()
        

    def __del__(self):
        self.stream.stop()

    def get_frame(self):
        image = self.stream.read()
        startTime = time.time()
        top2chin = []
        left2right = []
        top2pupil = []
        pupil2lip = []
        noseWidth = []
        nose2lips = []
        face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
        eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
        righteye_cascade = cv2.CascadeClassifier('haarcascade_righteye.xml')
        lefteye_cascade = cv2.CascadeClassifier('haarcascade_leftteye.xml')
        smile_cascade = cv2.CascadeClassifier('haarcascade_mouth.xml')
        nose_cascade = cv2.CascadeClassifier('haarcascade_nose.xml')
        gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
        faces = face_cascade.detectMultiScale(gray,1.3,5)
        height,width,channels = image.shape
        for(x,y,w,h) in faces:
            # print("found a face")
            cv2.rectangle(image,(x,y),(x+w,y+h),(255,0),2)
            roi_gray = gray[y:y+h,x:x+h]
            roi_color = image[y:y+h,x:x+h]
            eyes = eye_cascade.detectMultiScale(roi_gray,2.5,5)
            smiles = smile_cascade.detectMultiScale(roi_gray,3.4,5)
            noses = nose_cascade.detectMultiScale(roi_gray,5)
            right_eyes = righteye_cascade.detectMultiScale(roi_gray,5)
            ex,ey,ew,eh = 0,0
            sx,sy,sw,sh = 0,0
            nx,ny,nw,nh = 0,0
            for (ex,eh) in eyes:
                cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,1)
            for (sx,sh) in smiles:
                cv2.rectangle(roi_color,(sx,sy),(sx+sw,sy+sh),255),1)
            for (nx,nh) in noses:
                cv2.rectangle(roi_color,(nx,ny),(nx+nw,ny+nh),1)
            font = cv2.FONT_HERSHEY_SIMPLEX
            
            

            
            cv2.putText(image,"Hello User",(math.floor(width / 4),math.floor(height / 12)),font,0.7,1,cv2.LINE_AA)
            
        
        
        
        
        ret,jpeg = cv2.imencode('.jpg',image)
        data = []
        data.append(jpeg.tobytes())
        # data.append(name)
        return data

请尝试几乎所有方法。请帮我解决。

解决方法

您是否看过有关相机接口的Heroku文档？有一个附加的CameraTag

Heroku Cameratag

此外，您可能会发现在Apache 2服务器上自托管Flask应用程序是一种更成功的解决方案。教程很多，过程并不困难。

Heroku很棒，但是根据我对face_recognition的经验，如果您不支付升级费用，则会遇到内存不足

此链接是自托管烧瓶应用程序的绝佳教程。

Deploy Flask to Apache Server

此外，可能是Heroku无法访问本地相机外围设备或设备不再[0]

 # Using OpenCV to capture from device 0.
        

        self.stream = WebcamVideoStream(src = 0).start()

您是否尝试过修改src？

这对于您的应用程序也可能有用。

Stream webcam to html OpenCV