78 lines
2.8 KiB
Python
78 lines
2.8 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from paddle_serving_client import Client
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from paddle_serving_app.reader import OCRReader
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import cv2
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import sys
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import numpy as np
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import os
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from paddle_serving_client import Client
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from paddle_serving_app.reader import Sequential, URL2Image, ResizeByFactor
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from paddle_serving_app.reader import Div, Normalize, Transpose
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from paddle_serving_app.reader import DBPostProcess, FilterBoxes, GetRotateCropImage, SortedBoxes
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if sys.argv[1] == 'gpu':
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from paddle_serving_server_gpu.web_service import WebService
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elif sys.argv[1] == 'cpu':
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from paddle_serving_server.web_service import WebService
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import time
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import re
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import base64
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class OCRService(WebService):
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def init_rec(self):
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self.ocr_reader = OCRReader()
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def preprocess(self, feed=[], fetch=[]):
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# TODO: to handle batch rec images
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img_list = []
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for feed_data in feed:
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data = base64.b64decode(feed_data["image"].encode('utf8'))
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data = np.fromstring(data, np.uint8)
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im = cv2.imdecode(data, cv2.IMREAD_COLOR)
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img_list.append(im)
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feed_list = []
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max_wh_ratio = 0
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for i, boximg in enumerate(img_list):
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h, w = boximg.shape[0:2]
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wh_ratio = w * 1.0 / h
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max_wh_ratio = max(max_wh_ratio, wh_ratio)
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for img in img_list:
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norm_img = self.ocr_reader.resize_norm_img(img, max_wh_ratio)
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feed = {"image": norm_img}
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feed_list.append(feed)
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fetch = ["ctc_greedy_decoder_0.tmp_0", "softmax_0.tmp_0"]
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return feed_list, fetch
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def postprocess(self, feed={}, fetch=[], fetch_map=None):
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rec_res = self.ocr_reader.postprocess(fetch_map, with_score=True)
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res_lst = []
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for res in rec_res:
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res_lst.append(res[0])
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res = {"res": res_lst}
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return res
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ocr_service = OCRService(name="ocr")
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ocr_service.load_model_config("ocr_rec_model")
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ocr_service.init_rec()
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if sys.argv[1] == 'gpu':
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ocr_service.set_gpus("0")
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ocr_service.prepare_server(workdir="workdir", port=9292, device="gpu", gpuid=0)
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elif sys.argv[1] == 'cpu':
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ocr_service.prepare_server(workdir="workdir", port=9292, device="cpu")
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ocr_service.run_rpc_service()
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ocr_service.run_web_service()
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