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app.py
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app.py
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import base64
from io import BytesIO
import numpy as np
import requests
from PIL import Image
from flask import Flask
from flask import jsonify, render_template
import model as m
app = Flask(__name__)
classes = '2346789abcdefghjmnpqrtuxyzABCDEFGHJMNPQRTUXYZ'
def predict():
url = 'http://api.shuibei.chxj.name/captcha'
response = requests.get(url)
bytes_io = BytesIO(response.content)
img = Image.open(bytes_io).convert('RGB')
arr = np.array(img)
char1 = arr[0:36, 0:30]
char2 = arr[0:36, 30:60]
char3 = arr[0:36, 60:90]
char4 = arr[0:36, 90:120]
model = m.build((36, 30, 3), len(classes))
input = np.array([char1, char2, char3, char4])
predict = model.predict(input)
text = ''
for i in np.argmax(predict, axis=1):
text += classes[i]
print("the image is", text)
return {'image': base64.b64encode(bytes_io.getvalue()).decode(), 'text': text}
@app.route('/')
def index():
return render_template('index.html')
@app.route('/fetch')
def fetch():
return jsonify(predict())