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Squidly271 2020-12-15 14:09:04 -05:00
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commit d88a4380ea
5 changed files with 378 additions and 32 deletions
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2
applicationFeed-lastUpdated.json
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@ -1,3 +1,3 @@
{
"last_updated_timestamp": 1608052143
"last_updated_timestamp": 1608059338
}

189
applicationFeed-raw.json
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@ -172576,15 +172576,188 @@
"FirstSeen": 1602720717
},
{
"TemplatePath": "/tmp/appFeed/templates/yayitazalesRepository/yayitazale/frigate-amd64.xml",
"errors": [
"Opening and ending tag mismatch: Forum line 9 and Maintainer",
"EndTag: '</' not found",
"EndTag: '</' not found",
"EndTag: '</' not found"
"Name": "frigate",
"Repository": "blakeblackshear/frigate:stable-amd64",
"Registry": "https://hub.docker.com/r/blakeblackshear/frigate/",
"Network": "bridge",
"Shell": "sh",
"Privileged": "false",
"Support": "https://forums.unraid.net/topic/98064-support-blakeblackshear-frigate/",
"Project": "https://github.com/blakeblackshear/frigate",
"Overview": "NVR With Realtime Object Detection for IP Cameras\r\n\r\nUses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Designed for integration with HomeAssistant or others via MQTT.\r\n\r\nUse of a Google Coral Accelerator is optional, but highly recommended. On my Intel i7 processor, I can process 2-3 FPS with the CPU. The Coral can process 100+ FPS with very low CPU load.\r\n\r\n *Leverages multiprocessing heavily with an emphasis on realtime over processing every frame\r\n *Uses a very low overhead motion detection to determine where to run object detection\r\n *Object detection with Tensorflow runs in a separate process\r\n *Object info is published over MQTT for integration into HomeAssistant as a binary sensor\r\n *An endpoint is available to view an MJPEG stream for debugging, but should not be used continuously",
"WebUI": "http://[IP]:[PORT:5000]",
"TemplateURL": "https://raw.githubusercontent.com/yayitazale/unraid-templates/main/yayitazale/frigate-amd64.xml",
"Icon": "https://raw.githubusercontent.com/yayitazale/unraid-templates/main/frigate_unraid.PNG",
"ExtraParams": "--shm-size=512m",
"PostArgs": "",
"CPUset": "",
"Networking": {
"Mode": "bridge",
"Publish": {
"Port": {
"HostPort": "5000",
"ContainerPort": "5000",
"Protocol": "tcp"
}
}
},
"Data": {
"Volume": [
{
"HostDir": "/mnt/user/appdata/frigate",
"ContainerDir": "/config",
"Mode": "rw"
},
{
"HostDir": "/etc/localtime",
"ContainerDir": "/etc/localtime",
"Mode": "rw"
},
{
"HostDir": "/mnt/user/Media/frigate/clips",
"ContainerDir": "/clips",
"Mode": "rw"
},
{
"HostDir": "/cache",
"ContainerDir": "/tmpfs",
"Mode": "rw"
}
]
},
"Environment": {
"Variable": {
"Value": "enterpassword",
"Name": "FRIGATE_RTSP_PASSWORD",
"Mode": ""
}
},
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{
"@attributes": {
"Name": "Edge Coral TPU USB",
"Target": "",
"Default": "",
"Mode": "",
"Description": "/dev/bus/usb",
"Type": "Device",
"Display": "always",
"Required": "false",
"Mask": "false"
},
"value": "/dev/bus/usb"
},
{
"@attributes": {
"Name": "Path con config",
"Target": "/config",
"Default": "/mnt/user/appdata/frigate",
"Mode": "rw",
"Description": "/mnt/user/appdata/frigate",
"Type": "Path",
"Display": "always",
"Required": "true",
"Mask": "false"
},
"value": "/mnt/user/appdata/frigate"
},
{
"@attributes": {
"Name": "Localtime",
"Target": "/etc/localtime",
"Default": "",
"Mode": "rw",
"Description": "/etc/localtime",
"Type": "Path",
"Display": "always",
"Required": "true",
"Mask": "false"
},
"value": "/etc/localtime"
},
{
"@attributes": {
"Name": "HTTP port",
"Target": "5000",
"Default": "",
"Mode": "tcp",
"Description": "5000",
"Type": "Port",
"Display": "always",
"Required": "true",
"Mask": "false"
},
"value": "5000"
},
{
"@attributes": {
"Name": "Frigate RTSP Password",
"Target": "FRIGATE_RTSP_PASSWORD",
"Default": "",
"Mode": "",
"Description": "Container Variable: FRIGATE_RTSP_PASSWORD",
"Type": "Variable",
"Display": "always",
"Required": "true",
"Mask": "false"
},
"value": "enterpassword"
},
{
"@attributes": {
"Name": "Recordings if enabled in config",
"Target": "/clips",
"Default": "/mnt/user/Media/frigate/clips",
"Mode": "rw",
"Description": "Container Path: /clips",
"Type": "Path",
"Display": "always",
"Required": "false",
"Mask": "false"
},
"value": "/mnt/user/Media/frigate/clips"
},
{
"@attributes": {
"Name": "Cache TempFS is best",
"Target": "/tmpfs",
"Default": "",
"Mode": "rw",
"Description": "Container Path: /tmpfs",
"Type": "Path",
"Display": "always",
"Required": "false",
"Mask": "false"
},
"value": "/cache"
},
{
"@attributes": {
"Name": "GPU Mapping",
"Target": "",
"Default": "",
"Mode": "",
"Description": "Container Device: ",
"Type": "Device",
"Display": "advanced-hide",
"Required": "false",
"Mask": "false"
},
"value": "/dev/dri/"
}
],
"LastUpdateScan": 1607519296,
"FirstSeen": 1538604219
"Repo": "yayitazale's Repository",
"Date": "1607672518",
"Category": "HomeAutomation: Security:",
"OriginalOverview": "[b]NVR With Realtime Object Detection for IP Cameras[/b]\r\n\r\nUses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Designed for integration with HomeAssistant or others via MQTT.\r\n\r\nUse of a Google Coral Accelerator is optional, but highly recommended. On my Intel i7 processor, I can process 2-3 FPS with the CPU. The Coral can process 100+ FPS with very low CPU load.\r\n\r\n *Leverages multiprocessing heavily with an emphasis on realtime over processing every frame\r\n *Uses a very low overhead motion detection to determine where to run object detection\r\n *Object detection with Tensorflow runs in a separate process\r\n *Object info is published over MQTT for integration into HomeAssistant as a binary sensor\r\n *An endpoint is available to view an MJPEG stream for debugging, but should not be used continuously\r\n\r\n[span style='color: red;'][b]Note:[/b][/span] A config.yml file [b]must exist[/b] in the config directory. See example [a href=\"https://github.com/blakeblackshear/frigate/blob/master/config/config.example.yml\"]here[/a] and device specific info can be found [a href=\"https://github.com/blakeblackshear/frigate/blob/master/docs/DEVICES.md\"]here[/a]. See the documentation for more details.\r\n\r\n",
"Description": "NVR With Realtime Object Detection for IP Cameras\r\n\r\nUses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Designed for integration with HomeAssistant or others via MQTT.\r\n\r\nUse of a Google Coral Accelerator is optional, but highly recommended. On my Intel i7 processor, I can process 2-3 FPS with the CPU. The Coral can process 100+ FPS with very low CPU load.\r\n\r\n *Leverages multiprocessing heavily with an emphasis on realtime over processing every frame\r\n *Uses a very low overhead motion detection to determine where to run object detection\r\n *Object detection with Tensorflow runs in a separate process\r\n *Object info is published over MQTT for integration into HomeAssistant as a binary sensor\r\n *An endpoint is available to view an MJPEG stream for debugging, but should not be used continuously",
"templatePath": "/tmp/GitHub/AppFeed/templates/yayitazalesRepository/yayitazale/frigate-amd64.xml",
"CategoryList": [
"HomeAutomation",
"Security"
],
"LastUpdateScan": 1605885066,
"FirstSeen": 1603287783
},
{
"Name": "xteve-vpn",

193
applicationFeed.json
View File

@ -1,7 +1,7 @@
{
"apps": 1068,
"last_updated_timestamp": 1608052143,
"last_updated": "2020-12-15 12:09",
"last_updated_timestamp": 1608059338,
"last_updated": "2020-12-15 14:08",
"categories": [
{
"Cat": "Backup:",
@ -172730,15 +172730,188 @@
"FirstSeen": 1602720717
},
{
"TemplatePath": "/tmp/appFeed/templates/yayitazalesRepository/yayitazale/frigate-amd64.xml",
"errors": [
"Opening and ending tag mismatch: Forum line 9 and Maintainer",
"EndTag: '</' not found",
"EndTag: '</' not found",
"EndTag: '</' not found"
"Name": "frigate",
"Repository": "blakeblackshear/frigate:stable-amd64",
"Registry": "https://hub.docker.com/r/blakeblackshear/frigate/",
"Network": "bridge",
"Shell": "sh",
"Privileged": "false",
"Support": "https://forums.unraid.net/topic/98064-support-blakeblackshear-frigate/",
"Project": "https://github.com/blakeblackshear/frigate",
"Overview": "NVR With Realtime Object Detection for IP Cameras\r\n\r\nUses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Designed for integration with HomeAssistant or others via MQTT.\r\n\r\nUse of a Google Coral Accelerator is optional, but highly recommended. On my Intel i7 processor, I can process 2-3 FPS with the CPU. The Coral can process 100+ FPS with very low CPU load.\r\n\r\n *Leverages multiprocessing heavily with an emphasis on realtime over processing every frame\r\n *Uses a very low overhead motion detection to determine where to run object detection\r\n *Object detection with Tensorflow runs in a separate process\r\n *Object info is published over MQTT for integration into HomeAssistant as a binary sensor\r\n *An endpoint is available to view an MJPEG stream for debugging, but should not be used continuously",
"WebUI": "http://[IP]:[PORT:5000]",
"TemplateURL": "https://raw.githubusercontent.com/yayitazale/unraid-templates/main/yayitazale/frigate-amd64.xml",
"Icon": "https://raw.githubusercontent.com/yayitazale/unraid-templates/main/frigate_unraid.PNG",
"ExtraParams": "--shm-size=512m",
"PostArgs": "",
"CPUset": "",
"Networking": {
"Mode": "bridge",
"Publish": {
"Port": {
"HostPort": "5000",
"ContainerPort": "5000",
"Protocol": "tcp"
}
}
},
"Data": {
"Volume": [
{
"HostDir": "/mnt/user/appdata/frigate",
"ContainerDir": "/config",
"Mode": "rw"
},
{
"HostDir": "/etc/localtime",
"ContainerDir": "/etc/localtime",
"Mode": "rw"
},
{
"HostDir": "/mnt/user/Media/frigate/clips",
"ContainerDir": "/clips",
"Mode": "rw"
},
{
"HostDir": "/cache",
"ContainerDir": "/tmpfs",
"Mode": "rw"
}
]
},
"Environment": {
"Variable": {
"Value": "enterpassword",
"Name": "FRIGATE_RTSP_PASSWORD",
"Mode": ""
}
},
"Config": [
{
"@attributes": {
"Name": "Edge Coral TPU USB",
"Target": "",
"Default": "",
"Mode": "",
"Description": "/dev/bus/usb",
"Type": "Device",
"Display": "always",
"Required": "false",
"Mask": "false"
},
"value": "/dev/bus/usb"
},
{
"@attributes": {
"Name": "Path con config",
"Target": "/config",
"Default": "/mnt/user/appdata/frigate",
"Mode": "rw",
"Description": "/mnt/user/appdata/frigate",
"Type": "Path",
"Display": "always",
"Required": "true",
"Mask": "false"
},
"value": "/mnt/user/appdata/frigate"
},
{
"@attributes": {
"Name": "Localtime",
"Target": "/etc/localtime",
"Default": "",
"Mode": "rw",
"Description": "/etc/localtime",
"Type": "Path",
"Display": "always",
"Required": "true",
"Mask": "false"
},
"value": "/etc/localtime"
},
{
"@attributes": {
"Name": "HTTP port",
"Target": "5000",
"Default": "",
"Mode": "tcp",
"Description": "5000",
"Type": "Port",
"Display": "always",
"Required": "true",
"Mask": "false"
},
"value": "5000"
},
{
"@attributes": {
"Name": "Frigate RTSP Password",
"Target": "FRIGATE_RTSP_PASSWORD",
"Default": "",
"Mode": "",
"Description": "Container Variable: FRIGATE_RTSP_PASSWORD",
"Type": "Variable",
"Display": "always",
"Required": "true",
"Mask": "false"
},
"value": "enterpassword"
},
{
"@attributes": {
"Name": "Recordings if enabled in config",
"Target": "/clips",
"Default": "/mnt/user/Media/frigate/clips",
"Mode": "rw",
"Description": "Container Path: /clips",
"Type": "Path",
"Display": "always",
"Required": "false",
"Mask": "false"
},
"value": "/mnt/user/Media/frigate/clips"
},
{
"@attributes": {
"Name": "Cache TempFS is best",
"Target": "/tmpfs",
"Default": "",
"Mode": "rw",
"Description": "Container Path: /tmpfs",
"Type": "Path",
"Display": "always",
"Required": "false",
"Mask": "false"
},
"value": "/cache"
},
{
"@attributes": {
"Name": "GPU Mapping",
"Target": "",
"Default": "",
"Mode": "",
"Description": "Container Device: ",
"Type": "Device",
"Display": "advanced-hide",
"Required": "false",
"Mask": "false"
},
"value": "/dev/dri/"
}
],
"LastUpdateScan": 1607519296,
"FirstSeen": 1538604219
"Repo": "yayitazale's Repository",
"Date": "1607672518",
"Category": "HomeAutomation: Security:",
"OriginalOverview": "[b]NVR With Realtime Object Detection for IP Cameras[/b]\r\n\r\nUses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Designed for integration with HomeAssistant or others via MQTT.\r\n\r\nUse of a Google Coral Accelerator is optional, but highly recommended. On my Intel i7 processor, I can process 2-3 FPS with the CPU. The Coral can process 100+ FPS with very low CPU load.\r\n\r\n *Leverages multiprocessing heavily with an emphasis on realtime over processing every frame\r\n *Uses a very low overhead motion detection to determine where to run object detection\r\n *Object detection with Tensorflow runs in a separate process\r\n *Object info is published over MQTT for integration into HomeAssistant as a binary sensor\r\n *An endpoint is available to view an MJPEG stream for debugging, but should not be used continuously\r\n\r\n[span style='color: red;'][b]Note:[/b][/span] A config.yml file [b]must exist[/b] in the config directory. See example [a href=\"https://github.com/blakeblackshear/frigate/blob/master/config/config.example.yml\"]here[/a] and device specific info can be found [a href=\"https://github.com/blakeblackshear/frigate/blob/master/docs/DEVICES.md\"]here[/a]. See the documentation for more details.\r\n\r\n",
"Description": "NVR With Realtime Object Detection for IP Cameras\r\n\r\nUses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Designed for integration with HomeAssistant or others via MQTT.\r\n\r\nUse of a Google Coral Accelerator is optional, but highly recommended. On my Intel i7 processor, I can process 2-3 FPS with the CPU. The Coral can process 100+ FPS with very low CPU load.\r\n\r\n *Leverages multiprocessing heavily with an emphasis on realtime over processing every frame\r\n *Uses a very low overhead motion detection to determine where to run object detection\r\n *Object detection with Tensorflow runs in a separate process\r\n *Object info is published over MQTT for integration into HomeAssistant as a binary sensor\r\n *An endpoint is available to view an MJPEG stream for debugging, but should not be used continuously",
"templatePath": "/tmp/GitHub/AppFeed/templates/yayitazalesRepository/yayitazale/frigate-amd64.xml",
"CategoryList": [
"HomeAutomation",
"Security"
],
"LastUpdateScan": 1605885066,
"FirstSeen": 1603287783
},
{
"Name": "xteve-vpn",

4
old-applicationFeed-raw.json
View File

@ -173127,8 +173127,8 @@
"CategoryList": [
"Productivity"
],
"downloads": 41,
"LastUpdateScan": 1605454081,
"downloads": 571,
"LastUpdateScan": 1608052126,
"FirstSeen": 1605454081
},
{

22
templates/yayitazalesRepository/yayitazale/frigate-amd64.xml
View File

@ -25,7 +25,7 @@ Use of a Google Coral Accelerator is optional, but highly recommended. On my Int
</Overview>
<WebUI>http://[IP]:[PORT:5000]</WebUI>
<TemplateURL>https://raw.githubusercontent.com/yayitazale/unraid-templates/main/yayitazale/frigate-amd64.xml</TemplateURL>
<Icon>https://upload.wikimedia.org/wikipedia/commons/thumb/2/2d/Tensorflow_logo.svg/1200px-Tensorflow_logo.svg.png</Icon>
<Icon>https://raw.githubusercontent.com/yayitazale/unraid-templates/main/frigate_unraid.PNG</Icon>
<ExtraParams>--shm-size=512m</ExtraParams>
<PostArgs></PostArgs>
<CPUset></CPUset>
@ -46,24 +46,24 @@ Use of a Google Coral Accelerator is optional, but highly recommended. On my Int
<Mode>rw</Mode>
</Volume>
<Volume>
<HostDir>/tmpfs</HostDir>
<ContainerDir>/cache</ContainerDir>
<HostDir>/etc/localtime</HostDir>
<ContainerDir>/etc/localtime</ContainerDir>
<Mode>rw</Mode>
</Volume>
<Volume>
<HostDir>/mnt/user/videos/camera</HostDir>
<HostDir>/mnt/user/Media/frigate/clips</HostDir>
<ContainerDir>/clips</ContainerDir>
<Mode>rw</Mode>
</Volume>
<Volume>
<HostDir>/etc/localtime</HostDir>
<ContainerDir>/etc/localtime</ContainerDir>
<HostDir>/cache</HostDir>
<ContainerDir>/tmpfs</ContainerDir>
<Mode>rw</Mode>
</Volume>
</Data>
<Environment>
<Variable>
<Value>'password'</Value>
<Value>enterpassword</Value>
<Name>FRIGATE_RTSP_PASSWORD</Name>
<Mode></Mode>
</Variable>
@ -73,10 +73,10 @@ Use of a Google Coral Accelerator is optional, but highly recommended. On my Int
<Config Name="Localtime" Target="/etc/localtime" Default="" Mode="rw" Description="/etc/localtime" Type="Path" Display="always" Required="true" Mask="false">/etc/localtime</Config>
<Config Name="HTTP port" Target="5000" Default="" Mode="tcp" Description="5000" Type="Port" Display="always" Required="true" Mask="false">5000</Config>
<Config Name="Frigate RTSP Password" Target="FRIGATE_RTSP_PASSWORD" Default="" Mode="" Description="Container Variable: FRIGATE_RTSP_PASSWORD" Type="Variable" Display="always" Required="true" Mask="false">enterpassword</Config>
<Config Name="GPU Mapping" Target="" Default="" Mode="" Description="Container Device: " Type="Device" Display="always" Required="false" Mask="false">/dev/dri/</Config>
<Config Name="Cache TempFS is best" Target="/cache" Default="" Mode="rw" Description="Container Path: /cache" Type="Path" Display="always" Required="false" Mask="false">/tmpfs</Config>
<Config Name="Recordings if enabled in config" Target="/clips" Default="/clips" Mode="rw" Description="Container Path: /clips" Type="Path" Display="always" Required="false" Mask="false">/mnt/user/videos/camera</Config>
<Date>1603265522</Date>
<Config Name="Recordings if enabled in config" Target="/clips" Default="/mnt/user/Media/frigate/clips" Mode="rw" Description="Container Path: /clips" Type="Path" Display="always" Required="false" Mask="false">/mnt/user/Media/frigate/clips</Config>
<Config Name="Cache TempFS is best" Target="/tmpfs" Default="" Mode="rw" Description="Container Path: /tmpfs" Type="Path" Display="always" Required="false" Mask="false">/cache</Config>
<Config Name="GPU Mapping" Target="" Default="" Mode="" Description="Container Device: " Type="Device" Display="advanced-hide" Required="false" Mask="false">/dev/dri/</Config>
<Date>1607672518</Date>
<Category>HomeAutomation: Security:</Category>
<Description>NVR With Realtime Object Detection for IP Cameras&#13;
&#13;