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web.py
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web.py
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import cv2
import numpy as np
from flask import Flask, render_template, Response
from nn import cnn
from cv import config, ip, recognition
dgt = 0
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
def gen():
global dgt
net = recognition.loadModel()
cap = cv2.VideoCapture(config.camera_id)
while (cap.isOpened()):
ret, frame = cap.read()
if(ret):
sel = ip.cut(frame, 256)
prep = ip.getDigit(sel)
got, obj = ip.detect(prep)
if(got):
img = obj
dgt = np.argmax(net.feedforward(obj/255.0))
else:
img = prep
print('\rNum: ',dgt, sep=' ', end='')
image = cv2.imencode('.jpg', sel)[1].tobytes()
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + image + b'\r\n')
@app.route('/video_feed')
def video_feed():
return Response(gen(), mimetype='multipart/x-mixed-replace; boundary=frame')
if __name__ == '__main__':
app.run(host='0.0.0.0')