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https://github.com/PaddlePaddle/FastDeploy.git
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9437dec9f5
* support face alignment PFLD * add PFLD demo * fixed FaceAlignmentResult * fixed bugs * fixed img size * fixed readme * deal with comments * fixed readme * add pfld testcase * update infer.py * add gflags for example * update c++ readme * add gflags in example * fixed for ci * fixed gflags.cmake * deal with comments * update infer demo Co-authored-by: Jason <jiangjiajun@baidu.com>
43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
# Copyright (c) 2022 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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import fastdeploy as fd
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import cv2
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import os
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import numpy as np
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def test_facealignment_pfld():
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model_url = "https://bj.bcebos.com/paddlehub/fastdeploy/pfld-106-lite.onnx"
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input_url = "https://bj.bcebos.com/paddlehub/fastdeploy/facealign_input.png"
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output_url = "https://bj.bcebos.com/paddlehub/fastdeploy/result_landmarks.npy"
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fd.download(model_url, ".")
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fd.download(input_url, ".")
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fd.download(output_url, ".")
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model_path = "pfld-106-lite.onnx"
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# use ORT
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runtime_option = fd.RuntimeOption()
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runtime_option.use_ort_backend()
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model = fd.vision.facealign.PFLD(model_path, runtime_option=runtime_option)
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# compare diff
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im = cv2.imread("./facealign_input.png")
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result = model.predict(im.copy())
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expect = np.load("./result_landmarks.npy")
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diff = np.fabs(np.array(result.landmarks) - expect)
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thres = 1e-04
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assert diff.max() < thres, "The diff is %f, which is bigger than %f" % (
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diff.max(), thres)
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