import os.path import cv2 from flask import Flask, request from paddle_services.paddle_detection import detector from utils import process_request, parse_img_path app = Flask(__name__) @app.route('/det/books', methods=['POST']) @process_request def books(): img_path = request.form.get('img_path') result = detector.get_book_areas(img_path) dirname, img_name, ext = parse_img_path(img_path) books_path = [] for i in range(len(result)): save_path = os.path.join(dirname, img_name + '_book_' + str(i) + '.' + ext) cv2.imwrite(save_path, result[i]) books_path.append(save_path) return books_path if __name__ == '__main__': app.run('0.0.0.0', 5006)