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app.py
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# -*- coding: utf-8 -*-
"""
@author: lywen
"""
import os
from PIL import Image
import json
import time
import uuid
import numpy as np
import sys
import base64
import web
web.config.debug = True
from apphelper.image import convert_image,read_url_img,string_to_array,array_to_string,base64_to_array
import model
render = web.template.render('templates', base='base')
from config import DETECTANGLE
class OCR:
"""通用OCR识别"""
def GET(self):
post = {}
post['postName'] = 'ocr'##请求地址
post['height'] = 1000
post['H'] = 1000
post['width'] = 600
post['W'] = 600
post['uuid'] = uuid.uuid1().__str__()
return render.ocr(post)
def POST(self):
data = web.data()
data = json.loads(data)
imgString = data['imgString'].encode().split(b';base64,')[-1]
imgString = base64.b64decode(imgString)
jobid = uuid.uuid1().__str__()
path = '/tmp/{}.jpg'.format(jobid)
with open(path,'wb') as f:
f.write(imgString)
img = Image.open(path).convert("RGB")
W,H = img.size
timeTake = time.time()
_,result,angle= model.model(img,
detectAngle=DETECTANGLE,##是否进行文字方向检测
config=dict(MAX_HORIZONTAL_GAP=80,##字符之间的最大间隔,用于文本行的合并
MIN_V_OVERLAPS=0.6,
MIN_SIZE_SIM=0.6,
TEXT_PROPOSALS_MIN_SCORE=0.2,
TEXT_PROPOSALS_NMS_THRESH=0.3,
TEXT_LINE_NMS_THRESH = 0.99,##文本行之间测iou值
MIN_RATIO=1.0,
LINE_MIN_SCORE=0.2,
TEXT_PROPOSALS_WIDTH=0,
MIN_NUM_PROPOSALS=0,
),
leftAdjust=True,##对检测的文本行进行向左延伸
rightAdjust=True,##对检测的文本行进行向右延伸
alph=0.2,##对检测的文本行进行向右、左延伸的倍数
ifadjustDegree=True
)
timeTake = time.time()-timeTake
res = map(lambda x:{'w':x['w'],'h':x['h'],'cx':x['cx'],'cy':x['cy'],'degree':x['degree'],'text':x['text']}, result)
res = list(res)
os.remove(path)
return json.dumps({'res':res,'timeTake':round(timeTake,4)},ensure_ascii=False)
urls = ('/ocr','OCR',
)
if __name__ == "__main__":
app = web.application(urls, globals())
app.run()