mirror of
https://github.com/Squidly271/AppFeed.git
synced 2024-09-20 20:25:28 +00:00
Update
This commit is contained in:
Andrew Z
parent
93de188194
commit
376e7c6c8d
|
|
@ -1,3 +1,3 @@
|
|||
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|
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|
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@ -90684,6 +90684,7 @@
|
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|
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@ -128643,41 +128644,41 @@
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|
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@ -172819,29 +172820,27 @@
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},
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{
|
||||
"Name": "frigate",
|
||||
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|
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|
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|
||||
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|
||||
"Overview": "[b]NVR With Realtime Object Detection for IP Cameras[/b]\r\n[br][br]\r\nUses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Designed for integration with HomeAssistant or others via MQTT. Use 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[br][br]\r\n- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame\r\n[br]\r\n- Uses a very low overhead motion detection to determine where to run object detection\r\n[br]\r\n- Object detection with Tensorflow runs in a separate process\r\n[br]\r\n- Object info is published over MQTT for integration into HomeAssistant as a binary sensor\r\n[br]\r\n- An endpoint is available to view an MJPEG stream for debugging, but should not be used continuously\r\n[br][br]\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://docs.frigate.video/configuration/index\"]here[/a]. See the [a href=\"https://docs.frigate.video/\"]documentation[/a] for more details.\r\n[br]\r\n[span style='color: red;'][b]Note:[/b][/span] If you want add a Nvidia GPU to use hardware accel. on ffmpeg image encode/decode use the correspondig app.\r\n[br]\r\n[span style='color: red;'][b]Note:[/b][/span] If you are using a PCI Coral instead of a USB one, upgrade your Unraid system to stable 6.9.0 and then install first the needed drivers going to the CA APP and searching for [b]Coral-Driver[/b] (thanks to ich777)",
|
||||
"Overview": "A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.\r\n\r\nUse of a Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.\r\n\r\n- Tight integration with Home Assistant via a custom component\r\n- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary\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 separate processes for maximum FPS\r\n- Communicates over MQTT for easy integration into other systems\r\n- Records video with retention settings based on detected objects\r\n- 24/7 recording\r\n- Re-streaming via RTMP to reduce the number of connections to your camera\r\n\r\n[b]A config.yml file must exist in the config directory.[/b]\r\nSee the documentation for more details.",
|
||||
"WebUI": "http://[IP]:[PORT:5000]",
|
||||
"TemplateURL": "https://raw.githubusercontent.com/yayitazale/unraid-templates/master/yayitazale/frigate-amd64.xml",
|
||||
"TemplateURL": "https://raw.githubusercontent.com/yayitazale/unraid-templates/master/yayitazale/frigate.xml",
|
||||
"Icon": "https://raw.githubusercontent.com/yayitazale/unraid-templates/main/frigate.png",
|
||||
"ExtraParams": "--shm-size=5G",
|
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|
||||
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|
||||
},
|
||||
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|
||||
"Requires": "Note: If you are using a PCI Coral instead of a USB one, you must install first the needed drivers going to the CA APP and searching for Coral-Driver (thanks to @ich777)",
|
||||
"Config": [
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "Config Path",
|
||||
"Target": "/config",
|
||||
"Default": "/mnt/user/appdata/frigate",
|
||||
"Default": "",
|
||||
"Mode": "rw",
|
||||
"Description": "/mnt/user/appdata/frigate",
|
||||
"Description": "",
|
||||
"Type": "Path",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
|
|
@ -172853,9 +172852,9 @@
|
|||
"@attributes": {
|
||||
"Name": "Media path",
|
||||
"Target": "/media/frigate",
|
||||
"Default": "/mnt/user/Media/frigate",
|
||||
"Default": "",
|
||||
"Mode": "rw",
|
||||
"Description": "Container Path: /media/frigate",
|
||||
"Description": "",
|
||||
"Type": "Path",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
|
|
@ -172869,7 +172868,7 @@
|
|||
"Target": "5000",
|
||||
"Default": "",
|
||||
"Mode": "tcp",
|
||||
"Description": "Container Port: 5000",
|
||||
"Description": "",
|
||||
"Type": "Port",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
|
|
@ -172883,7 +172882,7 @@
|
|||
"Target": "1935",
|
||||
"Default": "",
|
||||
"Mode": "tcp",
|
||||
"Description": "Container Port: 1935",
|
||||
"Description": "",
|
||||
"Type": "Port",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
|
|
@ -172897,7 +172896,7 @@
|
|||
"Target": "FRIGATE_RTSP_PASSWORD",
|
||||
"Default": "",
|
||||
"Mode": "",
|
||||
"Description": "Container Variable: FRIGATE_RTSP_PASSWORD",
|
||||
"Description": "",
|
||||
"Type": "Variable",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
|
|
@ -172907,7 +172906,7 @@
|
|||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "TPU Mapping",
|
||||
"Name": "Coral TPU Mapping",
|
||||
"Target": "/dev/bus/usb",
|
||||
"Default": "",
|
||||
"Mode": "",
|
||||
|
|
@ -172925,7 +172924,7 @@
|
|||
"Target": "",
|
||||
"Default": "",
|
||||
"Mode": "",
|
||||
"Description": "Container Device: /dev/dri/renderD128",
|
||||
"Description": "You can delete this if you are using Nvidia GPU",
|
||||
"Type": "Device",
|
||||
"Display": "always",
|
||||
"Required": "false",
|
||||
|
|
@ -172933,27 +172932,13 @@
|
|||
},
|
||||
"value": "/dev/dri/renderD128"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "Cache to RAM",
|
||||
"Target": "/tmp/cache",
|
||||
"Default": "",
|
||||
"Mode": "rw",
|
||||
"Description": "Container Path: /tmp/cache",
|
||||
"Type": "Path",
|
||||
"Display": "advanced-hide",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "/tmp/frigate"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "Localtime",
|
||||
"Target": "/etc/localtime",
|
||||
"Default": "",
|
||||
"Mode": "rw",
|
||||
"Description": "/etc/localtime",
|
||||
"Description": "",
|
||||
"Type": "Path",
|
||||
"Display": "advanced-hide",
|
||||
"Required": "true",
|
||||
|
|
@ -172963,247 +172948,16 @@
|
|||
}
|
||||
],
|
||||
"Repo": "yayitazale's Repository",
|
||||
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||||
"templatePath": "/tmp/GitHub/AppFeed/templates/yayitazalesRepository/yayitazale/frigate.xml",
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||||
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||||
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||||
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||||
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{
|
||||
"Name": "frigate-nvidia",
|
||||
"Repository": "blakeblackshear/frigate:stable-amd64nvidia",
|
||||
"Registry": "https://hub.docker.com/r/blakeblackshear/frigate/",
|
||||
"Network": "bridge",
|
||||
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|
||||
"Privileged": "true",
|
||||
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|
||||
"Project": "https://docs.frigate.video/",
|
||||
"Overview": "[b]NVR With Realtime Object Detection for IP Cameras[/b]\r\n[br][br]\r\nUses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Designed for integration with HomeAssistant or others via MQTT. Use 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. This is the an Nvidia GPU to use hardware accel. on ffmpeg image encode/decode.\r\n[br][br]\r\n- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame\r\n[br]\r\n- Uses a very low overhead motion detection to determine where to run object detection\r\n[br]\r\n- Object detection with Tensorflow runs in a separate process\r\n[br]\r\n- Object info is published over MQTT for integration into HomeAssistant as a binary sensor\r\n[br]\r\n- An endpoint is available to view an MJPEG stream for debugging, but should not be used continuously\r\n[br][br]\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://docs.frigate.video/guides/getting_started\"]here[/a].\r[br]\r\n[span style='color: red;'][b]Note:[/b][/span]You need to install the nvidia drivers plugin before installing this app following [https://forums.unraid.net/topic/98978-plugin-nvidia-driver/?tab=comments#comment-913250&searchlight=1\"]this steps[/a]\r\n[br]\r\n[span style='color: red;'][b]Note:[/b][/span] If you are using a PCI Coral instead of a USB one, upgrade your Unraid system to stable 6.9.0 and then install first the needed drivers going to the CA APP and searching for [b]Coral-Driver[/b] (thanks to ich777)",
|
||||
"WebUI": "http://[IP]:[PORT:5000]",
|
||||
"TemplateURL": "https://raw.githubusercontent.com/yayitazale/unraid-templates/master/yayitazale/frigate-amd64-nvidia.xml",
|
||||
"Icon": "https://raw.githubusercontent.com/yayitazale/unraid-templates/main/frigate.png",
|
||||
"ExtraParams": "--runtime=nvidia --shm-size=5G",
|
||||
"Networking": {
|
||||
"Mode": "bridge"
|
||||
},
|
||||
"Config": [
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "Config Path",
|
||||
"Target": "/config",
|
||||
"Default": "/mnt/user/appdata/frigate-nvidia",
|
||||
"Mode": "rw",
|
||||
"Description": "/mnt/user/appdata/frigate",
|
||||
"Type": "Path",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "/mnt/user/appdata/frigate-nvidia"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "Media path",
|
||||
"Target": "/media/frigate",
|
||||
"Default": "/mnt/user/Media/frigate",
|
||||
"Mode": "rw",
|
||||
"Description": "Container Path: /media/frigate",
|
||||
"Type": "Path",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "/mnt/user/Media/frigate"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "HTTP port",
|
||||
"Target": "5000",
|
||||
"Default": "",
|
||||
"Mode": "tcp",
|
||||
"Description": "Container Port: 5000",
|
||||
"Type": "Port",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "5000"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "RTMP port",
|
||||
"Target": "1935",
|
||||
"Default": "",
|
||||
"Mode": "tcp",
|
||||
"Description": "Container Port: 1935",
|
||||
"Type": "Port",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "1935"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "Frigate RTSP Password",
|
||||
"Target": "FRIGATE_RTSP_PASSWORD",
|
||||
"Default": "",
|
||||
"Mode": "",
|
||||
"Description": "Container Variable: FRIGATE_RTSP_PASSWORD",
|
||||
"Type": "Variable",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
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|
||||
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|
||||
"value": "enterpassword"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "TPU Mapping",
|
||||
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|
||||
"Default": "",
|
||||
"Mode": "",
|
||||
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|
||||
"Type": "Device",
|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"value": "/dev/bus/usb"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"Type": "Variable",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
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|
||||
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|
||||
"value": "YOUR-GPU-UUID"
|
||||
},
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
|
|||
|
|
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|
|||
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|
||||
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|
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|
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|
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|
||||
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|
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|
|
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|
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|
@ -128805,41 +128806,41 @@
|
|||
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||||
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|
||||
{
|
||||
"Name": "vaultwarden",
|
||||
|
|
@ -172981,29 +172982,27 @@
|
|||
},
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"Overview": "[b]NVR With Realtime Object Detection for IP Cameras[/b]\r\n[br][br]\r\nUses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Designed for integration with HomeAssistant or others via MQTT. Use 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[br][br]\r\n- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame\r\n[br]\r\n- Uses a very low overhead motion detection to determine where to run object detection\r\n[br]\r\n- Object detection with Tensorflow runs in a separate process\r\n[br]\r\n- Object info is published over MQTT for integration into HomeAssistant as a binary sensor\r\n[br]\r\n- An endpoint is available to view an MJPEG stream for debugging, but should not be used continuously\r\n[br][br]\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://docs.frigate.video/configuration/index\"]here[/a]. See the [a href=\"https://docs.frigate.video/\"]documentation[/a] for more details.\r\n[br]\r\n[span style='color: red;'][b]Note:[/b][/span] If you want add a Nvidia GPU to use hardware accel. on ffmpeg image encode/decode use the correspondig app.\r\n[br]\r\n[span style='color: red;'][b]Note:[/b][/span] If you are using a PCI Coral instead of a USB one, upgrade your Unraid system to stable 6.9.0 and then install first the needed drivers going to the CA APP and searching for [b]Coral-Driver[/b] (thanks to ich777)",
|
||||
"Overview": "A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.\r\n\r\nUse of a Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.\r\n\r\n- Tight integration with Home Assistant via a custom component\r\n- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary\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 separate processes for maximum FPS\r\n- Communicates over MQTT for easy integration into other systems\r\n- Records video with retention settings based on detected objects\r\n- 24/7 recording\r\n- Re-streaming via RTMP to reduce the number of connections to your camera\r\n\r\n[b]A config.yml file must exist in the config directory.[/b]\r\nSee the documentation for more details.",
|
||||
"WebUI": "http://[IP]:[PORT:5000]",
|
||||
"TemplateURL": "https://raw.githubusercontent.com/yayitazale/unraid-templates/master/yayitazale/frigate-amd64.xml",
|
||||
"TemplateURL": "https://raw.githubusercontent.com/yayitazale/unraid-templates/master/yayitazale/frigate.xml",
|
||||
"Icon": "https://raw.githubusercontent.com/yayitazale/unraid-templates/main/frigate.png",
|
||||
"ExtraParams": "--shm-size=5G",
|
||||
"Networking": {
|
||||
"Mode": "bridge"
|
||||
},
|
||||
"ExtraParams": "--shm-size=256mb --gpus all --mount type=tmpfs,target=/tmp/cache,tmpfs-size=1000000000",
|
||||
"Requires": "Note: If you are using a PCI Coral instead of a USB one, you must install first the needed drivers going to the CA APP and searching for Coral-Driver (thanks to @ich777)",
|
||||
"Config": [
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "Config Path",
|
||||
"Target": "/config",
|
||||
"Default": "/mnt/user/appdata/frigate",
|
||||
"Default": "",
|
||||
"Mode": "rw",
|
||||
"Description": "/mnt/user/appdata/frigate",
|
||||
"Description": "",
|
||||
"Type": "Path",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
|
|
@ -173015,9 +173014,9 @@
|
|||
"@attributes": {
|
||||
"Name": "Media path",
|
||||
"Target": "/media/frigate",
|
||||
"Default": "/mnt/user/Media/frigate",
|
||||
"Default": "",
|
||||
"Mode": "rw",
|
||||
"Description": "Container Path: /media/frigate",
|
||||
"Description": "",
|
||||
"Type": "Path",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
|
|
@ -173031,7 +173030,7 @@
|
|||
"Target": "5000",
|
||||
"Default": "",
|
||||
"Mode": "tcp",
|
||||
"Description": "Container Port: 5000",
|
||||
"Description": "",
|
||||
"Type": "Port",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
|
|
@ -173045,7 +173044,7 @@
|
|||
"Target": "1935",
|
||||
"Default": "",
|
||||
"Mode": "tcp",
|
||||
"Description": "Container Port: 1935",
|
||||
"Description": "",
|
||||
"Type": "Port",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
|
|
@ -173059,7 +173058,7 @@
|
|||
"Target": "FRIGATE_RTSP_PASSWORD",
|
||||
"Default": "",
|
||||
"Mode": "",
|
||||
"Description": "Container Variable: FRIGATE_RTSP_PASSWORD",
|
||||
"Description": "",
|
||||
"Type": "Variable",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
|
|
@ -173069,7 +173068,7 @@
|
|||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "TPU Mapping",
|
||||
"Name": "Coral TPU Mapping",
|
||||
"Target": "/dev/bus/usb",
|
||||
"Default": "",
|
||||
"Mode": "",
|
||||
|
|
@ -173087,7 +173086,7 @@
|
|||
"Target": "",
|
||||
"Default": "",
|
||||
"Mode": "",
|
||||
"Description": "Container Device: /dev/dri/renderD128",
|
||||
"Description": "You can delete this if you are using Nvidia GPU",
|
||||
"Type": "Device",
|
||||
"Display": "always",
|
||||
"Required": "false",
|
||||
|
|
@ -173095,27 +173094,13 @@
|
|||
},
|
||||
"value": "/dev/dri/renderD128"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "Cache to RAM",
|
||||
"Target": "/tmp/cache",
|
||||
"Default": "",
|
||||
"Mode": "rw",
|
||||
"Description": "Container Path: /tmp/cache",
|
||||
"Type": "Path",
|
||||
"Display": "advanced-hide",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "/tmp/frigate"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "Localtime",
|
||||
"Target": "/etc/localtime",
|
||||
"Default": "",
|
||||
"Mode": "rw",
|
||||
"Description": "/etc/localtime",
|
||||
"Description": "",
|
||||
"Type": "Path",
|
||||
"Display": "advanced-hide",
|
||||
"Required": "true",
|
||||
|
|
@ -173125,247 +173110,16 @@
|
|||
}
|
||||
],
|
||||
"Repo": "yayitazale's Repository",
|
||||
"templatePath": "/tmp/GitHub/AppFeed/templates/yayitazalesRepository/yayitazale/frigate-amd64.xml",
|
||||
"templatePath": "/tmp/GitHub/AppFeed/templates/yayitazalesRepository/yayitazale/frigate.xml",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
||||
{
|
||||
"Name": "frigate-nvidia",
|
||||
"Repository": "blakeblackshear/frigate:stable-amd64nvidia",
|
||||
"Registry": "https://hub.docker.com/r/blakeblackshear/frigate/",
|
||||
"Network": "bridge",
|
||||
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|
||||
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|
||||
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|
||||
"Project": "https://docs.frigate.video/",
|
||||
"Overview": "[b]NVR With Realtime Object Detection for IP Cameras[/b]\r\n[br][br]\r\nUses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Designed for integration with HomeAssistant or others via MQTT. Use 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. This is the an Nvidia GPU to use hardware accel. on ffmpeg image encode/decode.\r\n[br][br]\r\n- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame\r\n[br]\r\n- Uses a very low overhead motion detection to determine where to run object detection\r\n[br]\r\n- Object detection with Tensorflow runs in a separate process\r\n[br]\r\n- Object info is published over MQTT for integration into HomeAssistant as a binary sensor\r\n[br]\r\n- An endpoint is available to view an MJPEG stream for debugging, but should not be used continuously\r\n[br][br]\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://docs.frigate.video/guides/getting_started\"]here[/a].\r[br]\r\n[span style='color: red;'][b]Note:[/b][/span]You need to install the nvidia drivers plugin before installing this app following [https://forums.unraid.net/topic/98978-plugin-nvidia-driver/?tab=comments#comment-913250&searchlight=1\"]this steps[/a]\r\n[br]\r\n[span style='color: red;'][b]Note:[/b][/span] If you are using a PCI Coral instead of a USB one, upgrade your Unraid system to stable 6.9.0 and then install first the needed drivers going to the CA APP and searching for [b]Coral-Driver[/b] (thanks to ich777)",
|
||||
"WebUI": "http://[IP]:[PORT:5000]",
|
||||
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|
||||
"Icon": "https://raw.githubusercontent.com/yayitazale/unraid-templates/main/frigate.png",
|
||||
"ExtraParams": "--runtime=nvidia --shm-size=5G",
|
||||
"Networking": {
|
||||
"Mode": "bridge"
|
||||
},
|
||||
"Config": [
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "Config Path",
|
||||
"Target": "/config",
|
||||
"Default": "/mnt/user/appdata/frigate-nvidia",
|
||||
"Mode": "rw",
|
||||
"Description": "/mnt/user/appdata/frigate",
|
||||
"Type": "Path",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "/mnt/user/appdata/frigate-nvidia"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "Media path",
|
||||
"Target": "/media/frigate",
|
||||
"Default": "/mnt/user/Media/frigate",
|
||||
"Mode": "rw",
|
||||
"Description": "Container Path: /media/frigate",
|
||||
"Type": "Path",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "/mnt/user/Media/frigate"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "HTTP port",
|
||||
"Target": "5000",
|
||||
"Default": "",
|
||||
"Mode": "tcp",
|
||||
"Description": "Container Port: 5000",
|
||||
"Type": "Port",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "5000"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "RTMP port",
|
||||
"Target": "1935",
|
||||
"Default": "",
|
||||
"Mode": "tcp",
|
||||
"Description": "Container Port: 1935",
|
||||
"Type": "Port",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "1935"
|
||||
},
|
||||
{
|
||||
"@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": "TPU Mapping",
|
||||
"Target": "/dev/bus/usb",
|
||||
"Default": "",
|
||||
"Mode": "",
|
||||
"Description": "Use /dev/bus/usb for USB devices and /dev/apex_0 for PCIe devices (you must install the drivers first for PCIe devices)",
|
||||
"Type": "Device",
|
||||
"Display": "always",
|
||||
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|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "/dev/bus/usb"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "NVIDIA_VISIBLE_DEVICES",
|
||||
"Target": "NVIDIA_VISIBLE_DEVICES",
|
||||
"Default": "",
|
||||
"Mode": "",
|
||||
"Description": "Container Variable: NVIDIA_VISIBLE_DEVICES",
|
||||
"Type": "Variable",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "YOUR-GPU-UUID"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
"Name": "NVIDIA_DRIVER_CAPABILITIES",
|
||||
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|
||||
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|
||||
"Mode": "",
|
||||
"Description": "Container Variable: NVIDIA_DRIVER_CAPABILITIES",
|
||||
"Type": "Variable",
|
||||
"Display": "always",
|
||||
"Required": "true",
|
||||
"Mask": "false"
|
||||
},
|
||||
"value": "compute,utility,video"
|
||||
},
|
||||
{
|
||||
"@attributes": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"Display": "advanced-hide",
|
||||
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|
||||
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|
||||
},
|
||||
"value": "/tmp/frigate"
|
||||
},
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"Description": "/etc/localtime",
|
||||
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|
||||
"Display": "advanced-hide",
|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
}
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
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|
||||
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|
||||
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|
||||
|
|
@ -173438,6 +173192,71 @@
|
|||
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
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|
||||
"Repository": "brycelarge/xteve-vpn",
|
||||
|
|
@ -181475,41 +181294,41 @@
|
|||
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
|
@ -201652,32 +201471,35 @@
|
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|
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|
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|
|
@ -216569,39 +216391,39 @@
|
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|
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|
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|
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|
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|
|
@ -216869,16 +216691,18 @@
|
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|
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|
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|
||||
|
|
@ -220859,9 +220683,9 @@
|
|||
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|
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|
||||
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|
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|
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|
|
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|
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|
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|
||||
|
|
@ -224904,29 +224728,32 @@
|
|||
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|
||||
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|
||||
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|
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|
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|
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|
|
@ -239843,32 +239670,35 @@
|
|||
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|
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|
||||
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|
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|
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{
|
||||
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|
||||
|
|
@ -240215,32 +240045,35 @@
|
|||
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|
||||
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|
||||
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|
||||
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|
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|
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|
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||||
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||||
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|
||||
{
|
||||
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|
||||
|
|
|
|||
|
|
@ -2393,5 +2393,7 @@
|
|||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
|
|
@ -1 +1 @@
|
|||
1764
|
||||
0
|
||||
29
log.txt
29
log.txt
|
|
@ -1841,9 +1841,9 @@ Processing /tmp/appFeed/templates/argashsRepository/amongusdiscord.xml...Success
|
|||
Downloading yayitazale's Repository: https://github.com/yayitazale/unraid-templates -> /tmp/appFeed/templates/yayitazalesRepository Attempt 1... Success!
|
||||
Processing /tmp/appFeed/templates/yayitazalesRepository/yayitazale/antennas.xml...Success
|
||||
Processing /tmp/appFeed/templates/yayitazalesRepository/yayitazale/ca_profile.xml...FOUND PROFILE
|
||||
Processing /tmp/appFeed/templates/yayitazalesRepository/yayitazale/frigate-amd64.xml...Success
|
||||
Processing /tmp/appFeed/templates/yayitazalesRepository/yayitazale/frigate-amd64-nvidia.xml...Success
|
||||
Processing /tmp/appFeed/templates/yayitazalesRepository/yayitazale/frigate.xml...Success
|
||||
Processing /tmp/appFeed/templates/yayitazalesRepository/yayitazale/grafana-image-renderer.xml...Success
|
||||
Processing /tmp/appFeed/templates/yayitazalesRepository/yayitazale/greed.xml...Success
|
||||
|
||||
|
||||
Downloading brycelarge's Repository: https://github.com/brycelarge/unraid-templates -> /tmp/appFeed/templates/brycelargesRepository Attempt 1... Success!
|
||||
|
|
@ -3080,6 +3080,31 @@ Processing /tmp/appFeed/templates/roseatonisRepository/Foptimum/foptimum.xml...S
|
|||
|
||||
Updating stats on containers
|
||||
|
||||
golift/unpackerr
|
||||
golift/unpackerr Downloads: 8390209 Stars: 13 Base: unknown
|
||||
Tagged - Can't determine last update
|
||||
blakeblackshear/frigate
|
||||
blakeblackshear/frigate:stable Downloads: 6117350 Stars: 73 Base: unknown
|
||||
steffo99/greed
|
||||
ghcr.io/steffo99/greed Downloads: Stars: Base: unknown
|
||||
lukechannings/moviematch
|
||||
lukechannings/moviematch Downloads: 1105876 Stars: 7 Base: unknown
|
||||
advplyr/audiobookshelf
|
||||
ghcr.io/advplyr/audiobookshelf Downloads: 540700 Stars: 22 Base: unknown
|
||||
bobokun/qbit_manage
|
||||
bobokun/qbit_manage Downloads: 26973 Stars: 0 Base: unknown
|
||||
admidio/admidio
|
||||
admidio/admidio Downloads: 86482 Stars: 3 Base: unknown
|
||||
bleckbeard/hiccup
|
||||
bleckbeard/hiccup Downloads: 4940 Stars: 0 Base: unknown
|
||||
interaapps/pastefy
|
||||
interaapps/pastefy Downloads: 575491 Stars: 0 Base: unknown
|
||||
ex0nuss/remote-wake-sleep-on-lan-docker
|
||||
ex0nuss/remote-wake-sleep-on-lan-docker Downloads: 550738 Stars: 3 Base: unknown
|
||||
tomsquest/docker-radicale
|
||||
tomsquest/docker-radicale Downloads: 16912649 Stars: 47 Base: unknown
|
||||
mailserver/docker-mailserver
|
||||
mailserver/docker-mailserver:latest Downloads: 7132766 Stars: 96 Base: unknown
|
||||
|
||||
Updating GitHub
|
||||
|
||||
|
|
|
|||
|
|
@ -107895,7 +107895,6 @@
|
|||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
|
@ -107923,6 +107922,7 @@
|
|||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
|
|
|||
190
repoInfo.json
190
repoInfo.json
|
|
@ -27810,36 +27810,36 @@
|
|||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
|
@ -41339,7 +41339,7 @@
|
|||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
|
@ -41348,36 +41348,36 @@
|
|||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
|
|
@ -56038,38 +56038,38 @@
|
|||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
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|
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|
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||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
|
@ -59323,9 +59323,9 @@
|
|||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
|
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|
|||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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||||
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|
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|
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|
||||
|
|
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|
|||
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|
||||
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|
||||
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|
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|
|
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|
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Loading…
Reference in New Issue
Block a user