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p73692015 ea96f9ae05 Update README.md 2022-06-23 08:51:52 +08:00
8 changed files with 5 additions and 41 deletions

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.idea/.gitignore vendored
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# Default ignored files
/shelf/
/workspace.xml

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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
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<component name="PyDocumentationSettings">
<option name="format" value="GOOGLE" />
<option name="myDocStringFormat" value="Google" />
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<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.10 (PulseFocusPlatform)" project-jdk-type="Python SDK" />
</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/PulseFocusPlatform.iml" filepath="$PROJECT_DIR$/.idea/PulseFocusPlatform.iml" />
</modules>
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</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
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<mapping directory="$PROJECT_DIR$" vcs="Git" />
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@ -5,7 +5,7 @@ Pulse Focus Platform脉冲聚焦是面向水底物体图像识别的实时检测
脉冲聚焦软件设计了图片和视频两种数据输入下的多物体识别功能。针对图片数据,调用模型进行单张图片预测,随后在前端可视化输出多物体识别结果;针对视频流动态图像数据,首先对视频流数据进行分帧采样,获取采样图片,再针对采样图片进行多物体识别,将采样识别结果进行视频合成,然后在前端可视化输出视频流数据识别结果。为了视频流数据处理的高效性,设计了采样-识别-展示的多线程处理方式,可加快视频流数据处理。
软件界面简单,易学易用,包含参数的输入选择,程序的运行,算法结果的展示等,源代码公开,算法可修改。
开发人员K. Wang、H.P. Yu、J. Li、H.T. Li、Z.Q. Wang、Z.Y. Zhao、L.F. Zhang、G. Chen
开发人员K. Wang、H.P. Yu、J. Li、Z.Y. Zhao、L.F. Zhang、G. Chen、H.T. Li、Z.Q. Wang
## 1. 开发环境配置
运行以下命令:

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# Copyright (c) 2020 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.
import os.path as osp
import glob