administrator/frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2025-12-22 21:16:44 +03:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

Merge 1ffba7caa8 into 213a1fbd00

Browse Source
This commit is contained in:
Nicolas Mowen 2025-11-19 18:26:25 -06:00 committed by GitHub
commit cf7442b2e2
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
4 changed files with 18 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
docker/main/rootfs/usr/local/nginx/conf/nginx.conf
View File

@ -320,6 +320,12 @@ http {
add_header Cache-Control "public";
}
location /fonts/ {
access_log off;
expires 1y;
add_header Cache-Control "public";
}
location /locales/ {
access_log off;
add_header Cache-Control "public";

2
docs/docs/configuration/genai.md
View File

@ -70,7 +70,7 @@ You should have at least 8 GB of RAM available (or VRAM if running on GPU) to ru
genai:
provider: ollama
base_url: http://localhost:11434
model: llava:7b
model: qwen3-vl:4b
```
## Google Gemini

7
docs/docs/configuration/genai/config.md
View File

@ -35,19 +35,18 @@ Each model is available in multiple parameter sizes (3b, 4b, 8b, etc.). Larger s
:::tip
If you are trying to use a single model for Frigate and HomeAssistant, it will need to support vision and tools calling. https://github.com/skye-harris/ollama-modelfiles contains optimized model configs for this task.
If you are trying to use a single model for Frigate and HomeAssistant, it will need to support vision and tools calling. qwen3-VL supports vision and tools simultaneously in Ollama.
:::
The following models are recommended:
| Model | Notes |
| ----------------- | ----------------------------------------------------------- |
| `qwen3-vl` | Strong visual and situational understanding |
| ----------------- | -------------------------------------------------------------------- |
| `qwen3-vl` | Strong visual and situational understanding, higher vram requirement |
| `Intern3.5VL` | Relatively fast with good vision comprehension |
| `gemma3` | Strong frame-to-frame understanding, slower inference times |
| `qwen2.5-vl` | Fast but capable model with good vision comprehension |
| `llava-phi3` | Lightweight and fast model with vision comprehension |
:::note

8
web/src/views/settings/TriggerView.tsx
View File

@ -198,9 +198,9 @@ export default function TriggerView({
return axios
.put("config/set", configBody)
.then((configResponse) => {
.then(async (configResponse) => {
if (configResponse.status === 200) {
updateConfig();
await updateConfig();
const displayName =
friendly_name && friendly_name !== ""
? `${friendly_name} (${name})`
@ -353,9 +353,9 @@ export default function TriggerView({
return axios
.put("config/set", configBody)
.then((configResponse) => {
.then(async (configResponse) => {
if (configResponse.status === 200) {
updateConfig();
await updateConfig();
const friendly =
config?.cameras?.[selectedCamera]?.semantic_search
?.triggers?.[name]?.friendly_name;