mirror of
https://github.com/RapidAI/RapidOCR.git
synced 2026-11-12 05:50:49 +08:00
80 lines
2.4 KiB
Python
80 lines
2.4 KiB
Python
# -*- encoding: utf-8 -*-
|
|
# @Author: SWHL
|
|
# @Contact: liekkaskono@163.com
|
|
import logging
|
|
import cv2
|
|
import numpy as np
|
|
from flask import Flask, send_file, request, make_response
|
|
from waitress import serve
|
|
|
|
|
|
from rapidocr.main import detect_recognize
|
|
from utils.config import conf
|
|
from utils.utils import tojson, parse_bool
|
|
|
|
app = Flask(__name__)
|
|
log = logging.getLogger("app")
|
|
# 设置上传文件大小
|
|
app.config["MAX_CONTENT_LENGTH"] = 3 * 1024 * 1024
|
|
|
|
|
|
@app.route("/")
|
|
def index():
|
|
return send_file("static/index.html")
|
|
|
|
|
|
def json_response(data, status=200):
|
|
return make_response(tojson(data), status, {"content-type": "application/json"})
|
|
|
|
|
|
@app.route("/lang")
|
|
def get_languages():
|
|
"""返回可用语言列表"""
|
|
data = [
|
|
{"code": key, "name": val["name"]} for key, val in conf["languages"].items()
|
|
]
|
|
result = {"msg": "OK", "data": data}
|
|
log.info("Send langs: %s", data)
|
|
return json_response(result)
|
|
|
|
|
|
@app.route("/ocr", methods=["POST", "GET"])
|
|
def ocr():
|
|
"""执行文字识别"""
|
|
if conf["server"].get("token"):
|
|
if request.values.get("token") != conf["server"]["token"]:
|
|
return json_response({"msg": "invalid token"}, status=403)
|
|
|
|
lang = request.values.get("lang") or "ch"
|
|
detect = parse_bool(request.values.get("detect") or "true")
|
|
classify = parse_bool(request.values.get("classify") or "true")
|
|
|
|
image_file = request.files.get("image")
|
|
if not image_file:
|
|
return json_response({"msg": "no image"}, 400)
|
|
nparr = np.frombuffer(image_file.stream.read(), np.uint8)
|
|
image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
|
|
log.info(
|
|
"Input: image %s, lang=%s, detect=%s, classify=%s",
|
|
image.shape,
|
|
lang,
|
|
detect,
|
|
classify,
|
|
)
|
|
if image.ndim == 2:
|
|
image = cv2.cvtColor(image, cv2.COLOR_GRAY2BGR)
|
|
result = detect_recognize(image, lang=lang, detect=detect, classify=classify)
|
|
log.info("OCR Done %s %s", result["ts"], len(result["results"]))
|
|
return json_response({"msg": "OK", "data": result})
|
|
|
|
|
|
if __name__ == "__main__":
|
|
logging.basicConfig(level="INFO")
|
|
logging.getLogger("waitress").setLevel(logging.INFO)
|
|
if parse_bool(conf.get("debug", "0")):
|
|
# Debug
|
|
app.run(host=conf["server"]["host"], port=conf["server"]["port"], debug=True)
|
|
else:
|
|
# Deploy with waitress
|
|
serve(app, host=conf["server"]["host"], port=conf["server"]["port"])
|