from paddleocr import PaddleOCR, draw_ocr import numpy as np from flask import Flask, request, jsonify, render_template from PIL import Image import requests import base64 import io import cv2 import time import json # # Paddleocr目前支持的多语言语种可以通过修改lang参数进行切换 # # 例如`ch`, `en`, `fr`, `german`, `korean`, `japan` # ocr = PaddleOCR(use_angle_cls=True, lang="ch", ocr_version='PP-OCRv4') # need to run only once to download and load model into memory # # img_path = './imgs/11.jpg' # img_path = './id_cards/card0.png' # result = ocr.ocr(img_path, cls=True) # print(result) # # for idx in range(len(result)): # # res = result[idx] # # for line in res: # # print(line) # # # 显示结果 # result = result[0] # print(len(result)) # for line in result: # print(line[1][0]) # image = Image.open(img_path).convert('RGB') # boxes = [line[0] for line in result] # txts = [line[1][0] for line in result] # scores = [line[1][1] for line in result] # im_show = draw_ocr(image, boxes, txts, scores, font_path='./fonts/simfang.ttf') # im_show = Image.fromarray(im_show) # im_show.save('result.jpg') app = Flask(__name__) ocr = PaddleOCR(use_angle_cls=True, lang="ch", ocr_version='PP-OCRv4') @app.route('/') def hello_world(): # put application's code here # return 'Hello World!' return render_template('index.html') @app.route('/processing', methods=['POST']) def process(): file = request.files['image'] # 获取图像 img_pil = Image.open(file.stream) # PIL读取图流 img_cv = cv2.cvtColor(np.array(img_pil), cv2.COLOR_RGB2BGR) # PIL->cv2 result = ocr.ocr(img=img_cv, cls=True) txts = [line[1][0] for line in result[0]] json_demo = {'result': txts, 'len': len(result[0])} # 返回,需要看实际情况返回字段 return json_demo # 这个是把图片展示在前端 # @app.route('/show') # def show_image(): # r = requests.get('https://s.cn.bing.net/th?id=OHR.CliffsEtretat_ZH-CN9911283373_UHD.jpg') # # image = base64.b64encode(r.content).decode('ascii') # image = base64.b64encode(r.content).decode() # return render_template('show_image.html', img_stream=image) if __name__ == '__main__': app.run(host='127.0.1.3', port=5555)