问题描述
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
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
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。
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。