mirror of
https://github.com/Squidly271/AppFeed.git
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119 lines
6.9 KiB
XML
119 lines
6.9 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<Container version="2">
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<Name>deepstack</Name>
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<Repository>deepquestai/deepstack</Repository>
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<Registry>https://hub.docker.com/r/deepquestai/deepstack</Registry>
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<Network>bridge</Network>
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<Shell>sh</Shell>
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<Privileged>false</Privileged>
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<Project>https://deepstack.cc</Project>
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<Overview>DeepStack is an AI server that empowers every developer in the world to easily build state-of-the-art AI systems both on premise and in the cloud. The promises of Artificial Intelligence are huge but becoming a machine learning engineer is hard. Build and deploy AI powered applications with in-built and custom AI APIs, all offline and self-hosted. See https://deepstack.cc
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[br]
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[br]
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To use with home assistant see: https://github.com/robmarkcole/HASS-Deepstack-object#hass-deepstack-object
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[br]
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[br]
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[b][u][span style='color: #E80000;']Old CPUs without AVX[/span][/u][/b]
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[br]
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If you are using an older cpu that dosn't support AVX add [b]:noavx[/b] to the end of the [b]"Repository:"[/b] field.
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[br]
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Should look like this: [b]deepquestai/deepstack:noavx[/b]
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[br]
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[br]
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[b][u][span style='color: #E80000;']Nvidia GPU Use[/span][/u][/b]
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[br]
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Install Unraid Nvidia Plugin to install Nvidia Drivers: [b]https://forums.unraid.net/topic/98978-plugin-nvidia-driver/[/b]
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[br]
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Add [b]:gpu[/b] to the end of the [b]"Repository:"[/b] field. Should look like this: [b]deepquestai/deepstack:gpu[/b]
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[br]
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Add [b]--runtime=nvidia[/b] to the [b]"Extra Parameters:"[/b] field (switch on advanced view) .
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[br]
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Copy your [b]GPU UUID[/b] to [b]NVIDIA_VISIBLE_DEVICES.[/b]</Overview>
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<WebUI>http://[IP]:[PORT:5000]</WebUI>
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<TemplateURL>https://raw.githubusercontent.com/n8detar/docker-templates/master/n8detar/deepstack.xml</TemplateURL>
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<Icon>https://raw.githubusercontent.com/n8detar/docker-templates/master/n8detar/images/deepstack.png</Icon>
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<PostArgs></PostArgs>
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<CPUset></CPUset>
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<Networking>
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<Mode>bridge</Mode>
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<Publish>
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<Port>
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<HostPort>5000</HostPort>
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<ContainerPort>5000</ContainerPort>
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<Protocol>tcp</Protocol>
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</Port>
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</Publish>
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</Networking>
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<Data>
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<Volume>
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<HostDir>/mnt/user/appdata/deepstack</HostDir>
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<ContainerDir>/datastore</ContainerDir>
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<Mode>rw</Mode>
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</Volume>
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<Volume>
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<HostDir>/mnt/user/appdata/deepstack/custom_models</HostDir>
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<ContainerDir>/modelstore/detection</ContainerDir>
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<Mode>rw</Mode>
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</Volume>
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</Data>
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<Environment>
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<Variable>
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<Value>False</Value>
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<Name>VISION-DETECTION</Name>
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<Mode></Mode>
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</Variable>
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<Variable>
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<Value>False</Value>
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<Name>VISION-FACE</Name>
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<Mode></Mode>
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</Variable>
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<Variable>
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<Value>False</Value>
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<Name>VISION-SCENE</Name>
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<Mode></Mode>
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</Variable>
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<Variable>
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<Value>Medium</Value>
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<Name>MODE</Name>
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<Mode></Mode>
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</Variable>
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<Variable>
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<Value></Value>
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<Name>API-KEY</Name>
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<Mode></Mode>
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</Variable>
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<Variable>
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<Value></Value>
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<Name>ADMIN-KEY</Name>
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<Mode></Mode>
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</Variable>
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<Variable>
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<Value></Value>
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<Name>NVIDIA_VISIBLE_DEVICES</Name>
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<Mode></Mode>
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</Variable>
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<Variable>
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<Value>all</Value>
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<Name>NVIDIA_DRIVER_CAPABILITIES</Name>
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<Mode></Mode>
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</Variable>
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</Environment>
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<Config Name="WebUI" Target="5000" Default="5000" Mode="tcp" Description="For access to the Web UI and API. Default is 5000." Type="Port" Display="always" Required="true" Mask="false">5000</Config>
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<Config Name="AppData" Target="/datastore" Default="/mnt/user/appdata/deepstack" Mode="rw" Description="(Container Path: /datastore)" Type="Path" Display="always" Required="true" Mask="false">/mnt/user/appdata/deepstack</Config>
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<Config Name="Custom Model Store" Target="/modelstore/detection" Default="/mnt/user/appdata/deepstack/custom_models" Mode="rw" Description="This specifies the local directory where you stored your custom models. (Container Path: /modelstore/detection)" Type="Path" Display="always" Required="false" Mask="false">/mnt/user/appdata/deepstack/custom_models</Config>
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<Config Name="Object Detection" Target="VISION-DETECTION" Default="True|False" Mode="" Description="This enables the object detection API. Default is False. (VISION-DETECTION)" Type="Variable" Display="always" Required="false" Mask="false">False</Config>
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<Config Name="Face Detection" Target="VISION-FACE" Default="True|False" Mode="" Description="This enables the face recognition APIs. Default is False. (VISION-FACE)" Type="Variable" Display="always" Required="false" Mask="false">False</Config>
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<Config Name="Scene Detection" Target="VISION-SCENE" Default="True|False" Mode="" Description="This enables the scene recognition API. Default is False. (VISION-SCENE)" Type="Variable" Display="always" Required="false" Mask="false">False</Config>
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<Config Name="Performance Mode" Target="MODE" Default="High|Medium|Low" Mode="" Description="DeepStack offers three modes allowing you to tradeoff speed for performance. You can specify performance mode to be High, Medium and Low. Default is Medium. (MODE)" Type="Variable" Display="always" Required="false" Mask="false">Medium</Config>
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<Config Name="API Key" Target="API-KEY" Default="" Mode="" Description="API Key used to protect your api endpoint to prevent unauthorized access. (API-KEY)" Type="Variable" Display="always" Required="false" Mask="false"></Config>
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<Config Name="Admin Key" Target="ADMIN-KEY" Default="" Mode="" Description="The Admin Key protects admin APIs such as adding models, deleting models, list models, backup and restore. (ADMIN-KEY)" Type="Variable" Display="always" Required="false" Mask="false"></Config>
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<Config Name="Nvidia Visible Devices" Target="NVIDIA_VISIBLE_DEVICES" Default="" Mode="" Description="Requires Nvidia GPU and Unraid Nvidia drivers. (NVIDIA_VISIBLE_DEVICES)" Type="Variable" Display="always" Required="false" Mask="false"></Config>
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<Config Name="Nvidia Driver Capabilities" Target="NVIDIA_DRIVER_CAPABILITIES" Default="all " Mode="" Description="Requires Nvidia GPU and Unraid Nvidia drivers. Default is all. (NVIDIA_DRIVER_CAPABILITIES)" Type="Variable" Display="always" Required="false" Mask="false">all</Config>
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<Date>1609368546</Date>
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<Description>DeepStack is an AI server that empowers every developer in the world to easily build state-of-the-art AI systems both on premise and in the cloud. The promises of Artificial Intelligence are huge but becoming a machine learning engineer is hard. Build and deploy AI powered applications with in-built and custom AI APIs, all offline and self-hosted. See https://deepstack.cc
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To use with home assistant see: https://github.com/robmarkcole/HASS-Deepstack-object#hass-deepstack-object</Description>
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<templatePath>/tmp/GitHub/AppFeed/templates/ndetarsRepository/n8detar/deepstack.xml</templatePath>
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</Container>
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