mirror of
https://github.com/deepinsight/insightface.git
synced 2025-12-30 08:02:27 +00:00
55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
from paddle_serving_server.web_service import WebService, Op
|
|
|
|
import numpy as np
|
|
import cv2
|
|
import base64
|
|
|
|
|
|
class ArcFaceOp(Op):
|
|
def init_op(self):
|
|
pass
|
|
|
|
def preprocess(self, input_dicts, data_id, log_id):
|
|
(_, input_dict), = input_dicts.items()
|
|
data = base64.b64decode(input_dict["image"])
|
|
data = np.frombuffer(data, np.uint8)
|
|
# Note: class variables(self.var) can only be used in process op mode
|
|
img = cv2.imdecode(data, cv2.IMREAD_COLOR)
|
|
img = cv2.resize(img,(112,112))
|
|
# normalize to mean 0.5, std 0.5
|
|
img = (img - 127.5) * 0.00784313725
|
|
# BGR2RGB
|
|
img = img[:, :, ::-1]
|
|
img = img.transpose((2, 0, 1))
|
|
img = np.expand_dims(img, 0)
|
|
img = img.astype('float32')
|
|
return {"x":img.copy()}, False, None, ""
|
|
|
|
def postprocess(self, input_dicts, fetch_dict, log_id):
|
|
out = fetch_dict["save_infer_model/scale_0.tmp_1"]
|
|
out_dict = {"out": out}
|
|
|
|
return out_dict, None, ""
|
|
|
|
class ArcFaceService(WebService):
|
|
def get_pipeline_response(self, read_op):
|
|
arcface_op = ArcFaceOp(name="ArcFace", input_ops=[read_op])
|
|
return arcface_op
|
|
|
|
|
|
arcface_service = ArcFaceService(name="ArcFace")
|
|
arcface_service.prepare_pipeline_config("config.yml")
|
|
arcface_service.run_service() |