upgrade deps (#10257)

* upgrade web deps

* docs deps

* actions deps
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Blake Blackshear 2024-03-05 13:00:27 +00:00 committed by GitHub
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8 changed files with 814 additions and 740 deletions

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@ -212,7 +212,7 @@ jobs:
password: ${{ secrets.GITHUB_TOKEN }}
- name: Create short sha
run: echo "SHORT_SHA=${GITHUB_SHA::7}" >> $GITHUB_ENV
- uses: int128/docker-manifest-create-action@v1
- uses: int128/docker-manifest-create-action@v2
with:
tags: ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ github.ref_name }}-${{ env.SHORT_SHA }}
suffixes: |

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@ -123,7 +123,7 @@ or when using docker compose:
```yaml
services:
frigate:
...
---
environment:
DOWNLOAD_YOLOV8: "1"
```
@ -313,7 +313,7 @@ frigate:
### Configuration Parameters
The TensorRT detector can be selected by specifying `tensorrt` as the model type. The GPU will need to be passed through to the docker container using the same methods described in the [Hardware Acceleration](hardware_acceleration.md#nvidia-gpu) section. If you pass through multiple GPUs, you can select which GPU is used for a detector with the `device` configuration parameter. The `device` parameter is an integer value of the GPU index, as shown by `nvidia-smi` within the container.
The TensorRT detector can be selected by specifying `tensorrt` as the model type. The GPU will need to be passed through to the docker container using the same methods described in the [Hardware Acceleration](hardware_acceleration.md#nvidia-gpus) section. If you pass through multiple GPUs, you can select which GPU is used for a detector with the `device` configuration parameter. The `device` parameter is an integer value of the GPU index, as shown by `nvidia-smi` within the container.
The TensorRT detector uses `.trt` model files that are located in `/config/model_cache/tensorrt` by default. These model path and dimensions used will depend on which model you have generated.
@ -484,11 +484,10 @@ When using docker compose:
```yaml
services:
frigate:
...
---
devices:
- /dev/dri
- /dev/kfd
...
```
For reference on recommended settings see [running ROCm/pytorch in Docker](https://rocm.docs.amd.com/projects/install-on-linux/en/develop/how-to/3rd-party/pytorch-install.html#using-docker-with-pytorch-pre-installed).
@ -519,7 +518,7 @@ When using docker compose:
```yaml
services:
frigate:
...
---
environment:
HSA_OVERRIDE_GFX_VERSION: "9.0.0"
```
@ -566,7 +565,7 @@ or when using docker compose:
```yaml
services:
frigate:
...
---
environment:
DOWNLOAD_YOLOV8: "1"
```

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@ -33,7 +33,6 @@ Fork [blakeblackshear/frigate-hass-integration](https://github.com/blakeblackshe
### Prerequisites
- [Frigate source code](#frigate-core-web-and-docs)
- GNU make
- Docker
- An extra detector (Coral, OpenVINO, etc.) is optional but recommended to simulate real world performance.
@ -129,7 +128,6 @@ ffmpeg -c:v h264_qsv -re -stream_loop -1 -i https://streams.videolan.org/ffmpeg/
### Prerequisites
- [Frigate source code](#frigate-core-web-and-docs)
- All [core](#core) prerequisites _or_ another running Frigate instance locally available
- Node.js 20
@ -188,7 +186,6 @@ npm run test
### Prerequisites
- [Frigate source code](#frigate-core-web-and-docs)
- Node.js 20
### Making changes

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@ -27,7 +27,7 @@ Motion masks prevent detection of [motion](#motion) in masked areas from trigger
### Object Mask
Object filter masks drop any bounding boxes where the bottom center (overlap doesn't matter) is in the masked area. It forces them to be considered a [false positive](#false_positive) so that they are ignored.
Object filter masks drop any bounding boxes where the bottom center (overlap doesn't matter) is in the masked area. It forces them to be considered a [false positive](#false-positive) so that they are ignored.
## Min Score

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@ -65,8 +65,8 @@ Home Assistant > Configuration > Integrations > Frigate > Options
```
| Option | Description |
| ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| RTSP URL Template | A [jinja2](https://jinja.palletsprojects.com/) template that is used to override the standard RTSP stream URL (e.g. for use with reverse proxies). This option is only shown to users who have [advanced mode](https://www.home-assistant.io/blog/2019/07/17/release-96/#advanced-mode) enabled. See [RTSP streams](#streams) below. |
| ----------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| RTSP URL Template | A [jinja2](https://jinja.palletsprojects.com/) template that is used to override the standard RTSP stream URL (e.g. for use with reverse proxies). This option is only shown to users who have [advanced mode](https://www.home-assistant.io/blog/2019/07/17/release-96/#advanced-mode) enabled. See [RTSP streams](#rtsp-stream) below. |
## Entities Provided
@ -178,7 +178,7 @@ for how to set these.
#### API URLs
When multiple Frigate instances are configured, [API](#api) URLs should include an
When multiple Frigate instances are configured, [API](#notification-api) URLs should include an
identifier to tell Home Assistant which Frigate instance to refer to. The
identifier used is the MQTT `client_id` parameter included in the configuration,
and is used like so:

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@ -13,7 +13,8 @@ const variants = {
},
overlay: {
active: "font-bold text-white bg-selected rounded-full",
inactive: "text-primary-white rounded-full bg-gradient-to-br from-gray-400 to-gray-500 bg-gray-500",
inactive:
"text-primary-white rounded-full bg-gradient-to-br from-gray-400 to-gray-500 bg-gray-500",
},
};