mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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1da8c523b0
* add paddle_trt in benchmark * update benchmark in device * update benchmark * update result doc * fixed for CI * update python api_docs * update index.rst * add runtime cpp examples * deal with comments * Update infer_paddle_tensorrt.py * Add runtime quick start * deal with comments * fixed reused_input_tensors&&reused_output_tensors * fixed docs * fixed headpose typo * fixed typo * refactor yolov5 * update model infer * refactor pybind for yolov5 * rm origin yolov5 * fixed bugs * rm cuda preprocess * fixed bugs * fixed bugs * fixed bug * fixed bug * fix pybind * rm useless code * add convert_and_permute * fixed bugs * fixed im_info for bs_predict * fixed bug * add bs_predict for yolov5 * Add runtime test and batch eval * deal with comments * fixed bug * update testcase * fixed batch eval bug * fixed preprocess bug * refactor yolov7 * add yolov7 testcase * rm resize_after_load and add is_scale_up * fixed bug * set multi_label true * optimize rvm preprocess * optimizer rvm postprocess * fixed bug * deal with comments Co-authored-by: Jason <928090362@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
61 lines
2.0 KiB
Python
Executable File
61 lines
2.0 KiB
Python
Executable File
# 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 pickle
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import numpy as np
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import runtime_config as rc
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def test_matting_rvm_cpu():
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model_url = "https://bj.bcebos.com/paddlehub/fastdeploy/rvm.tgz"
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input_url = "https://bj.bcebos.com/paddlehub/fastdeploy/video.mp4"
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fd.download_and_decompress(model_url, "resources")
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fd.download(input_url, "resources")
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model_path = "resources/rvm/rvm_mobilenetv3_fp32.onnx"
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# use ORT
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rc.test_option.use_ort_backend()
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model = fd.vision.matting.RobustVideoMatting(
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model_path, runtime_option=rc.test_option)
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cap = cv2.VideoCapture(input_url)
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frame_id = 0
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while True:
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_, frame = cap.read()
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if frame is None:
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break
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result = model.predict(frame)
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# compare diff
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expect_alpha = np.load("resources/rvm/result_alpha_" + str(frame_id) +
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".npy")
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result_alpha = np.array(result.alpha).reshape(1920, 1080)
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diff = np.fabs(expect_alpha - result_alpha)
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thres = 1e-05
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assert diff.max(
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) < thres, "The label diff is %f, which is bigger than %f" % (
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diff.max(), thres)
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frame_id = frame_id + 1
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cv2.waitKey(30)
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if frame_id >= 10:
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cap.release()
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cv2.destroyAllWindows()
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break
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if __name__ == "__main__":
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test_matting_rvm_cpu()
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