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This commit is contained in:
Andrew Z 2023-02-20 04:08:08 -05:00
parent 519db581f8
commit 84de4806c1
7 changed files with 131 additions and 243 deletions
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2
applicationFeed-lastUpdated.json
View File

@ -1,3 +1,3 @@
{ {
"last_updated_timestamp": 1676876880 "last_updated_timestamp": 1676884084
} }

57
applicationFeed-raw.json
View File

@ -169753,41 +169753,41 @@
"Downloaders", "Downloaders",
"MediaApp-Video" "MediaApp-Video"
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{ {
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@ -178915,11 +178915,26 @@
"Name": "frigate12-beta8", "Name": "frigate12-beta8",
"Repository": "ghcr.io/blakeblackshear/frigate:0.12.0-beta8", "Repository": "ghcr.io/blakeblackshear/frigate:0.12.0-beta8",
"Registry": "https://hub.docker.com/r/blakeblackshear/frigate/", "Registry": "https://hub.docker.com/r/blakeblackshear/frigate/",
"Branch": [
{
"Tag": "Master",
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"Repository": "ghcr.io/blakeblackshear/frigate:0.12.0-beta8",
"Registry": "https://hub.docker.com/r/blakeblackshear/frigate/"
},
{
"Tag": "Nvidia",
"TagDescription": "Nvidia detector branch",
"Repository": "ghcr.io/blakeblackshear/frigate:0.12.0-beta8-tensorrt",
"Registry": "https://hub.docker.com/r/blakeblackshear/frigate/"
}
],
"Network": "bridge", "Network": "bridge",
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"Project": "https://frigate.video/", "Project": "https://frigate.video/",
"ReadMe": "https://deploy-preview-4055--frigate-docs.netlify.app/",
"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\nYou cas use a integrated or dedicated GPU (Intel/AMD/Nvidia) to perform the image decoding of the input streams of your cameras.\r\n\r\nOptionally (but highly recommended), you can use multiple devices to perform the object detetion, such as a Google Coral Accelerator Nvidia GPU, OpenVINO (Intel GPU) and Intel NCS2 VPU\r\n\r\nSee the documentation for more details about your specific hardware and needs (https://deploy-preview-4055--frigate-docs.netlify.app/). This is a general templeate that aims to give a fast deoplyment for every user so check all the options carefully and remove all the configurations that you are not going to use.", "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\nYou cas use a integrated or dedicated GPU (Intel/AMD/Nvidia) to perform the image decoding of the input streams of your cameras.\r\n\r\nOptionally (but highly recommended), you can use multiple devices to perform the object detetion, such as a Google Coral Accelerator Nvidia GPU, OpenVINO (Intel GPU) and Intel NCS2 VPU\r\n\r\nSee the documentation for more details about your specific hardware and needs (https://deploy-preview-4055--frigate-docs.netlify.app/). This is a general templeate that aims to give a fast deoplyment for every user so check all the options carefully and remove all the configurations that you are not going to use.",
"WebUI": "http://[IP]:[PORT:5000]", "WebUI": "http://[IP]:[PORT:5000]",
"TemplateURL": "https://gitlab.com/yayitazale/unraid-templates/-/raw/main/yayitazale/frigate-beta.xml", "TemplateURL": "https://gitlab.com/yayitazale/unraid-templates/-/raw/main/yayitazale/frigate-beta.xml",
@ -178927,7 +178942,7 @@
"ExtraParams": "--shm-size=256mb --mount type=tmpfs,target=/tmp/cache,tmpfs-size=100000000 --restart unless-stopped", "ExtraParams": "--shm-size=256mb --mount type=tmpfs,target=/tmp/cache,tmpfs-size=100000000 --restart unless-stopped",
"DonateText": "If you like my work please consider Donating.", "DonateText": "If you like my work please consider Donating.",
"DonateLink": "https://paypal.me/JosebaEgiaLarrinaga", "DonateLink": "https://paypal.me/JosebaEgiaLarrinaga",
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"Config": [ "Config": [
{ {
"@attributes": { "@attributes": {
@ -195141,8 +195156,8 @@
"Crypto" "Crypto"
], ],
"downloads": 19, "downloads": 19,
"LastUpdate": 1676779062,
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"LastUpdate": 1676779062,
"FirstSeen": 1661285028 "FirstSeen": 1661285028
}, },
{ {
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{ {

61
applicationFeed.json
View File

@ -1,7 +1,7 @@
{ {
"apps": 1986, "apps": 1986,
"last_updated_timestamp": 1676876880, "last_updated_timestamp": 1676884084,
"last_updated": "2023-02-20 02:08", "last_updated": "2023-02-20 04:08",
"categories": [ "categories": [
{ {
"Cat": "Backup:", "Cat": "Backup:",
@ -169915,41 +169915,41 @@
"Downloaders", "Downloaders",
"MediaApp-Video" "MediaApp-Video"
], ],
"downloads": 248805, "downloads": 312155,
"stars": 29, "stars": 32,
"trending": 19.269, "LastUpdate": 1676763061,
"trending": 20.294,
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44.535,
41.944, 41.944,
36.304, 36.304,
33.804, 33.804,
20.025, 20.025,
15.307, 15.307,
19.269 19.269,
20.294
], ],
"trendsDate": [ "trendsDate": [
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1661292217, 1661292217,
1663891415, 1663891415,
1666490613, 1666490613,
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1671685439, 1671685439,
1674284643 1674284643,
1676884084
], ],
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}, },
{ {
"TemplateURL": "https://raw.githubusercontent.com/ibracorp/unraid-templates/master/jira-servicedesk/jira-servicedesk.xml", "TemplateURL": "https://raw.githubusercontent.com/ibracorp/unraid-templates/master/jira-servicedesk/jira-servicedesk.xml",
@ -179077,11 +179077,26 @@
"Name": "frigate12-beta8", "Name": "frigate12-beta8",
"Repository": "ghcr.io/blakeblackshear/frigate:0.12.0-beta8", "Repository": "ghcr.io/blakeblackshear/frigate:0.12.0-beta8",
"Registry": "https://hub.docker.com/r/blakeblackshear/frigate/", "Registry": "https://hub.docker.com/r/blakeblackshear/frigate/",
"Branch": [
{
"Tag": "Master",
"TagDescription": "master branch",
"Repository": "ghcr.io/blakeblackshear/frigate:0.12.0-beta8",
"Registry": "https://hub.docker.com/r/blakeblackshear/frigate/"
},
{
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"TagDescription": "Nvidia detector branch",
"Repository": "ghcr.io/blakeblackshear/frigate:0.12.0-beta8-tensorrt",
"Registry": "https://hub.docker.com/r/blakeblackshear/frigate/"
}
],
"Network": "bridge", "Network": "bridge",
"Shell": "sh", "Shell": "sh",
"Privileged": "false", "Privileged": "false",
"Support": "https://forums.unraid.net/topic/98064-support-blakeblackshear-frigate/", "Support": "https://forums.unraid.net/topic/98064-support-blakeblackshear-frigate/",
"Project": "https://frigate.video/", "Project": "https://frigate.video/",
"ReadMe": "https://deploy-preview-4055--frigate-docs.netlify.app/",
"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\nYou cas use a integrated or dedicated GPU (Intel/AMD/Nvidia) to perform the image decoding of the input streams of your cameras.\r\n\r\nOptionally (but highly recommended), you can use multiple devices to perform the object detetion, such as a Google Coral Accelerator Nvidia GPU, OpenVINO (Intel GPU) and Intel NCS2 VPU\r\n\r\nSee the documentation for more details about your specific hardware and needs (https://deploy-preview-4055--frigate-docs.netlify.app/). This is a general templeate that aims to give a fast deoplyment for every user so check all the options carefully and remove all the configurations that you are not going to use.", "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\nYou cas use a integrated or dedicated GPU (Intel/AMD/Nvidia) to perform the image decoding of the input streams of your cameras.\r\n\r\nOptionally (but highly recommended), you can use multiple devices to perform the object detetion, such as a Google Coral Accelerator Nvidia GPU, OpenVINO (Intel GPU) and Intel NCS2 VPU\r\n\r\nSee the documentation for more details about your specific hardware and needs (https://deploy-preview-4055--frigate-docs.netlify.app/). This is a general templeate that aims to give a fast deoplyment for every user so check all the options carefully and remove all the configurations that you are not going to use.",
"WebUI": "http://[IP]:[PORT:5000]", "WebUI": "http://[IP]:[PORT:5000]",
"TemplateURL": "https://gitlab.com/yayitazale/unraid-templates/-/raw/main/yayitazale/frigate-beta.xml", "TemplateURL": "https://gitlab.com/yayitazale/unraid-templates/-/raw/main/yayitazale/frigate-beta.xml",
@ -179089,7 +179104,7 @@
"ExtraParams": "--shm-size=256mb --mount type=tmpfs,target=/tmp/cache,tmpfs-size=100000000 --restart unless-stopped", "ExtraParams": "--shm-size=256mb --mount type=tmpfs,target=/tmp/cache,tmpfs-size=100000000 --restart unless-stopped",
"DonateText": "If you like my work please consider Donating.", "DonateText": "If you like my work please consider Donating.",
"DonateLink": "https://paypal.me/JosebaEgiaLarrinaga", "DonateLink": "https://paypal.me/JosebaEgiaLarrinaga",
"Requires": "- A valid config.yml file must exist in the config directory to startup the container.\r<br>- If you are using a Coral Detector, you must set the container to privileged mode under advanced view\r<br>- 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)\r<br>- If you want to use a NVidia card to image decoding and/or detection, you must first install the drivers from CA app (thanks to @ich777), add &quot;--runtime=nvidia&quot; as extra parameter under advanced view and set the &quot;Nvidia Visible Devices&quot; variable with your &quot;GPU UUID&quot; as the value.\r<br>- If you want to use the NVidia TensorRT Detector, you have to add the tag suffix &quot;-tensorrt&quot; to the repository link, and create the models using the &quot;tensorrt-models&quot; app from the CA app.\r<br>- If you want to use a AMD GPU to image decoding you must change driver to &quot;radeonsi&quot;\r<br>- With some of the Intel processors, like the J4125, the default driver &quot;iHD&quot; doesn't seem to work correctly for hardware acceleration. You may need to change the driver to &quot;i965&quot;\r<br>- If you want to use a NCS2 as detector you have to add &quot;--device-cgroup-rule='c 189:\\* rmw'&quot; as extra parameter under advanced view and install the &quot;udev rule&quot; in the unraid host.", "Requires": "- A valid config.yml file must exist in the config directory to startup the container.<br>- If you are using a Coral Detector, you must set the container to privileged mode under advanced view<br>- 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)<br>- If you want to use a NVidia card to image decoding and/or detection, you must first install the drivers from CA app (thanks to @ich777), add &quot;--runtime=nvidia&quot; as extra parameter under advanced view and set the &quot;Nvidia Visible Devices&quot; variable with your &quot;GPU UUID&quot; as the value.<br>- If you want to use the NVidia TensorRT Detector, you have to create the models using the &quot;tensorrt-models&quot; app from the CA app and select the correspondig branch.<br>- If you want to use a AMD GPU to image decoding you must change driver to &quot;radeonsi&quot;<br>- With some of the Intel processors, like the J4125, the default driver &quot;iHD&quot; doesn't seem to work correctly for hardware acceleration. You may need to change the driver to &quot;i965&quot;<br>- If you want to use a NCS2 as detector you have to add &quot;--device-cgroup-rule='c 189:\\* rmw'&quot; as extra parameter under advanced view and install the &quot;udev rule&quot; in the unraid host.",
"Config": [ "Config": [
{ {
"@attributes": { "@attributes": {
@ -195303,8 +195318,8 @@
"Crypto" "Crypto"
], ],
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{ {

2
lastcheckIndex
View File

@ -1 +1 @@
1323 1372

16
log.txt
View File

@ -3398,20 +3398,8 @@ Processing /tmp/appFeed/templates/mplogasRepository/laac-unraid.xml...Success
Updating stats on containers Updating stats on containers
guydavis/machinaris-apple fallenbagel/jellyseerr
ghcr.io/guydavis/machinaris-apple Downloads: 19 Stars: 0 Base: unknown fallenbagel/jellyseerr:latest Downloads: 312155 Stars: 32 Base: unknown
guydavis/machinaris-chinilla
ghcr.io/guydavis/machinaris-chinilla Downloads: 24 Stars: 0 Base: unknown
guydavis/machinaris-gold
ghcr.io/guydavis/machinaris-gold Downloads: 21 Stars: 0 Base: unknown
guydavis/machinaris-littlelambocoin
ghcr.io/guydavis/machinaris-littlelambocoin Downloads: 17 Stars: 0 Base: unknown
guydavis/machinaris-mint
ghcr.io/guydavis/machinaris-mint Downloads: 21 Stars: 0 Base: unknown
guydavis/machinaris-tad
ghcr.io/guydavis/machinaris-tad Downloads: 31 Stars: 0 Base: unknown
guydavis/machinaris-wheat
ghcr.io/guydavis/machinaris-wheat Downloads: 24 Stars: 0 Base: unknown
Privileged: 105 Privileged: 105

214
old-applicationFeed-raw.json
View File

@ -195140,9 +195140,9 @@
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{ {
@ -195324,9 +195324,9 @@
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22
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View File

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