forked from p71924506/PulseFocusPlatform
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setupchang
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# Default ignored files
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/shelf/
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/workspace.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<module type="PYTHON_MODULE" version="4">
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$" />
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<orderEntry type="inheritedJdk" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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<component name="PyDocumentationSettings">
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<option name="format" value="GOOGLE" />
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<option name="myDocStringFormat" value="Google" />
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</component>
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</module>
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<component name="InspectionProjectProfileManager">
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<settings>
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<option name="USE_PROJECT_PROFILE" value="false" />
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<version value="1.0" />
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</settings>
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</component>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.10 (PulseFocusPlatform)" project-jdk-type="Python SDK" />
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</project>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectModuleManager">
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<modules>
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<module fileurl="file://$PROJECT_DIR$/.idea/PulseFocusPlatform.iml" filepath="$PROJECT_DIR$/.idea/PulseFocusPlatform.iml" />
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</modules>
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</component>
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</project>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="VcsDirectoryMappings">
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<mapping directory="$PROJECT_DIR$" vcs="Git" />
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</component>
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</project>
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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
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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。
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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。
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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
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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
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## 1. 开发环境配置
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运行以下命令:
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5
setup.py
5
setup.py
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@ -1,16 +1,13 @@
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# 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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import os.path as osp
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import glob
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