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67 lines
1.8 KiB
67 lines
1.8 KiB
from flask import Flask, jsonify, request, abort,Response
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from multiprocessing import Process
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from PIL import Image
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from io import BytesIO
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from imutils.video import VideoStream
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import requests
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import cv2
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import pickle
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import base64
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import json
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from pyzbar import pyzbar
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import subprocess
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import urllib3
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import imutils
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urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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app = Flask(__name__)
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user = {}
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image = None
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def im2str(im):
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crop_img = Image.fromarray(im, "RGB")
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buffered = BytesIO()
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crop_img.save(buffered, format="JPEG")
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img = base64.b64encode(buffered.getvalue()).decode("ascii")
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return img
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vs=VideoStream().start()
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barcodeData_prev = 0
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@app.route('/get')
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def get_qr():
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global user
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global image
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global barcodeData_prev
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frame = vs.read()
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img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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barcode = pyzbar.decode(gray)
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if len(barcode) > 0:
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barcode = barcode[0]
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(x, y, w, h) = barcode.rect
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barcodeData = barcode.data.decode("utf-8")
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barcodeType = barcode.type
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if barcodeData_prev == 0 or barcodeData_prev != barcodeData:
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barcodeData_prev = barcodeData
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r = requests.get('https://192.168.2.203:5000/users/{}'.format(barcodeData), verify=False)
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user = json.loads(r.text)
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text = "{} ({})".format(barcodeData, barcodeType)
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cv2.putText(img, text, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX,
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0.5, (255, 0, 0), 2)
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cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
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else:
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user = {}
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result = subprocess.check_output(['vcgencmd', 'measure_temp'])
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temp = result.split("=")[1][:-2] +"C"
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image = im2str(img)
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resp = Response(json.dumps({"user":user,"img":image,"temp":temp}))
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resp.headers['Access-Control-Allow-Origin'] = '*'
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return resp
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app.run(host='0.0.0.0', port=3000)
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