mirror of
https://github.com/blakeblackshear/frigate.git
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1 Commits
plus_docs_
...
dependabot
| Author | SHA1 | Date | |
|---|---|---|---|
|
fe2a2f6c0c |
2
.github/workflows/ci.yml
vendored
2
.github/workflows/ci.yml
vendored
@@ -211,7 +211,7 @@ jobs:
|
||||
with:
|
||||
string: ${{ github.repository }}
|
||||
- name: Log in to the Container registry
|
||||
uses: docker/login-action@184bdaa0721073962dff0199f1fb9940f07167d1
|
||||
uses: docker/login-action@c94ce9fb468520275223c153574b00df6fe4bcc9
|
||||
with:
|
||||
registry: ghcr.io
|
||||
username: ${{ github.actor }}
|
||||
|
||||
2
.github/workflows/release.yml
vendored
2
.github/workflows/release.yml
vendored
@@ -18,7 +18,7 @@ jobs:
|
||||
with:
|
||||
string: ${{ github.repository }}
|
||||
- name: Log in to the Container registry
|
||||
uses: docker/login-action@184bdaa0721073962dff0199f1fb9940f07167d1
|
||||
uses: docker/login-action@c94ce9fb468520275223c153574b00df6fe4bcc9
|
||||
with:
|
||||
registry: ghcr.io
|
||||
username: ${{ github.actor }}
|
||||
|
||||
@@ -2,19 +2,15 @@
|
||||
|
||||
# Update package list and install dependencies
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y build-essential cmake git wget linux-headers-$(uname -r)
|
||||
sudo apt-get install -y build-essential cmake git wget
|
||||
|
||||
hailo_version="4.21.0"
|
||||
arch=$(uname -m)
|
||||
|
||||
if [[ $arch == "aarch64" ]]; then
|
||||
source /etc/os-release
|
||||
os_codename=$VERSION_CODENAME
|
||||
echo "Detected OS codename: $os_codename"
|
||||
fi
|
||||
|
||||
if [ "$os_codename" = "trixie" ]; then
|
||||
sudo apt install -y dkms
|
||||
if [[ $arch == "x86_64" ]]; then
|
||||
sudo apt install -y linux-headers-$(uname -r);
|
||||
else
|
||||
sudo apt install -y linux-modules-extra-$(uname -r);
|
||||
fi
|
||||
|
||||
# Clone the HailoRT driver repository
|
||||
@@ -51,4 +47,3 @@ sudo udevadm control --reload-rules && sudo udevadm trigger
|
||||
|
||||
echo "HailoRT driver installation complete."
|
||||
echo "reboot your system to load the firmware!"
|
||||
echo "Driver version: $(modinfo -F version hailo_pci)"
|
||||
|
||||
@@ -29,10 +29,6 @@ auth:
|
||||
reset_admin_password: true
|
||||
```
|
||||
|
||||
## Password guidance
|
||||
|
||||
Constructing secure passwords and managing them properly is important. Frigate requires a minimum length of 12 characters. For guidance on password standards see [NIST SP 800-63B](https://pages.nist.gov/800-63-3/sp800-63b.html). To learn what makes a password truly secure, read this [article](https://medium.com/peerio/how-to-build-a-billion-dollar-password-3d92568d9277).
|
||||
|
||||
## Login failure rate limiting
|
||||
|
||||
In order to limit the risk of brute force attacks, rate limiting is available for login failures. This is implemented with SlowApi, and the string notation for valid values is available in [the documentation](https://limits.readthedocs.io/en/stable/quickstart.html#examples).
|
||||
@@ -166,10 +162,6 @@ In this example:
|
||||
- If no mapping matches, Frigate falls back to `default_role` if configured.
|
||||
- If `role_map` is not defined, Frigate assumes the role header directly contains `admin`, `viewer`, or a custom role name.
|
||||
|
||||
**Note on matching semantics:**
|
||||
|
||||
- Admin precedence: if the `admin` mapping matches, Frigate resolves the session to `admin` to avoid accidental downgrade when a user belongs to multiple groups (for example both `admin` and `viewer` groups).
|
||||
|
||||
#### Port Considerations
|
||||
|
||||
**Authenticated Port (8971)**
|
||||
|
||||
@@ -12,20 +12,23 @@ Some of Frigate's enrichments can use a discrete GPU or integrated GPU for accel
|
||||
Object detection and enrichments (like Semantic Search, Face Recognition, and License Plate Recognition) are independent features. To use a GPU / NPU for object detection, see the [Object Detectors](/configuration/object_detectors.md) documentation. If you want to use your GPU for any supported enrichments, you must choose the appropriate Frigate Docker image for your GPU / NPU and configure the enrichment according to its specific documentation.
|
||||
|
||||
- **AMD**
|
||||
|
||||
- ROCm support in the `-rocm` Frigate image is automatically detected for enrichments, but only some enrichment models are available due to ROCm's focus on LLMs and limited stability with certain neural network models. Frigate disables models that perform poorly or are unstable to ensure reliable operation, so only compatible enrichments may be active.
|
||||
|
||||
- **Intel**
|
||||
|
||||
- OpenVINO will automatically be detected and used for enrichments in the default Frigate image.
|
||||
- **Note:** Intel NPUs have limited model support for enrichments. GPU is recommended for enrichments when available.
|
||||
|
||||
- **Nvidia**
|
||||
|
||||
- Nvidia GPUs will automatically be detected and used for enrichments in the `-tensorrt` Frigate image.
|
||||
- Jetson devices will automatically be detected and used for enrichments in the `-tensorrt-jp6` Frigate image.
|
||||
|
||||
- **RockChip**
|
||||
- RockChip NPU will automatically be detected and used for semantic search v1 and face recognition in the `-rk` Frigate image.
|
||||
|
||||
Utilizing a GPU for enrichments does not require you to use the same GPU for object detection. For example, you can run the `tensorrt` Docker image to run enrichments on an Nvidia GPU and still use other dedicated hardware like a Coral or Hailo for object detection. However, one combination that is not supported is the `tensorrt` image for object detection on an Nvidia GPU and Intel iGPU for enrichments.
|
||||
Utilizing a GPU for enrichments does not require you to use the same GPU for object detection. For example, you can run the `tensorrt` Docker image for enrichments and still use other dedicated hardware like a Coral or Hailo for object detection. However, one combination that is not supported is TensorRT for object detection and OpenVINO for enrichments.
|
||||
|
||||
:::note
|
||||
|
||||
|
||||
@@ -29,12 +29,12 @@ cameras:
|
||||
|
||||
When running Frigate through the HA Add-on, the Frigate `/config` directory is mapped to `/addon_configs/<addon_directory>` in the host, where `<addon_directory>` is specific to the variant of the Frigate Add-on you are running.
|
||||
|
||||
| Add-on Variant | Configuration directory |
|
||||
| -------------------------- | ----------------------------------------- |
|
||||
| Frigate | `/addon_configs/ccab4aaf_frigate` |
|
||||
| Frigate (Full Access) | `/addon_configs/ccab4aaf_frigate-fa` |
|
||||
| Frigate Beta | `/addon_configs/ccab4aaf_frigate-beta` |
|
||||
| Frigate Beta (Full Access) | `/addon_configs/ccab4aaf_frigate-fa-beta` |
|
||||
| Add-on Variant | Configuration directory |
|
||||
| -------------------------- | -------------------------------------------- |
|
||||
| Frigate | `/addon_configs/ccab4aaf_frigate` |
|
||||
| Frigate (Full Access) | `/addon_configs/ccab4aaf_frigate-fa` |
|
||||
| Frigate Beta | `/addon_configs/ccab4aaf_frigate-beta` |
|
||||
| Frigate Beta (Full Access) | `/addon_configs/ccab4aaf_frigate-fa-beta` |
|
||||
|
||||
**Whenever you see `/config` in the documentation, it refers to this directory.**
|
||||
|
||||
@@ -109,16 +109,15 @@ detectors:
|
||||
|
||||
record:
|
||||
enabled: True
|
||||
motion:
|
||||
retain:
|
||||
days: 7
|
||||
mode: motion
|
||||
alerts:
|
||||
retain:
|
||||
days: 30
|
||||
mode: motion
|
||||
detections:
|
||||
retain:
|
||||
days: 30
|
||||
mode: motion
|
||||
|
||||
snapshots:
|
||||
enabled: True
|
||||
@@ -166,16 +165,15 @@ detectors:
|
||||
|
||||
record:
|
||||
enabled: True
|
||||
motion:
|
||||
retain:
|
||||
days: 7
|
||||
mode: motion
|
||||
alerts:
|
||||
retain:
|
||||
days: 30
|
||||
mode: motion
|
||||
detections:
|
||||
retain:
|
||||
days: 30
|
||||
mode: motion
|
||||
|
||||
snapshots:
|
||||
enabled: True
|
||||
@@ -233,16 +231,15 @@ model:
|
||||
|
||||
record:
|
||||
enabled: True
|
||||
motion:
|
||||
retain:
|
||||
days: 7
|
||||
mode: motion
|
||||
alerts:
|
||||
retain:
|
||||
days: 30
|
||||
mode: motion
|
||||
detections:
|
||||
retain:
|
||||
days: 30
|
||||
mode: motion
|
||||
|
||||
snapshots:
|
||||
enabled: True
|
||||
|
||||
@@ -381,7 +381,6 @@ Start with ["Why isn't my license plate being detected and recognized?"](#why-is
|
||||
```yaml
|
||||
lpr:
|
||||
enabled: true
|
||||
device: CPU
|
||||
debug_save_plates: true
|
||||
```
|
||||
|
||||
|
||||
@@ -34,7 +34,7 @@ Frigate supports multiple different detectors that work on different types of ha
|
||||
|
||||
**Nvidia GPU**
|
||||
|
||||
- [ONNX](#onnx): Nvidia GPUs will automatically be detected and used as a detector in the `-tensorrt` Frigate image when a supported ONNX model is configured.
|
||||
- [ONNX](#onnx): TensorRT will automatically be detected and used as a detector in the `-tensorrt` Frigate image when a supported ONNX model is configured.
|
||||
|
||||
**Nvidia Jetson** <CommunityBadge />
|
||||
|
||||
@@ -65,7 +65,7 @@ This does not affect using hardware for accelerating other tasks such as [semant
|
||||
|
||||
# Officially Supported Detectors
|
||||
|
||||
Frigate provides a number of builtin detector types. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
|
||||
Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `hailo8l`, `memryx`, `onnx`, `openvino`, `rknn`, and `tensorrt`. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
|
||||
|
||||
## Edge TPU Detector
|
||||
|
||||
@@ -157,13 +157,7 @@ A TensorFlow Lite model is provided in the container at `/edgetpu_model.tflite`
|
||||
|
||||
#### YOLOv9
|
||||
|
||||
YOLOv9 models that are compiled for TensorFlow Lite and properly quantized are supported, but not included by default. [Instructions](#yolov9-for-google-coral-support) for downloading a model with support for the Google Coral.
|
||||
|
||||
:::tip
|
||||
|
||||
**Frigate+ Users:** Follow the [instructions](../integrations/plus#use-models) to set a model ID in your config file.
|
||||
|
||||
:::
|
||||
YOLOv9 models that are compiled for TensorFlow Lite and properly quantized are supported, but not included by default. [Download the model](https://github.com/dbro/frigate-detector-edgetpu-yolo9/releases/download/v1.0/yolov9-s-relu6-best_320_int8_edgetpu.tflite), bind mount the file into the container, and provide the path with `model.path`. Note that the linked model requires a 17-label [labelmap file](https://raw.githubusercontent.com/dbro/frigate-detector-edgetpu-yolo9/refs/heads/main/labels-coco17.txt) that includes only 17 COCO classes.
|
||||
|
||||
<details>
|
||||
<summary>YOLOv9 Setup & Config</summary>
|
||||
@@ -660,9 +654,11 @@ ONNX is an open format for building machine learning models, Frigate supports ru
|
||||
If the correct build is used for your GPU then the GPU will be detected and used automatically.
|
||||
|
||||
- **AMD**
|
||||
|
||||
- ROCm will automatically be detected and used with the ONNX detector in the `-rocm` Frigate image.
|
||||
|
||||
- **Intel**
|
||||
|
||||
- OpenVINO will automatically be detected and used with the ONNX detector in the default Frigate image.
|
||||
|
||||
- **Nvidia**
|
||||
@@ -1518,11 +1514,11 @@ RF-DETR can be exported as ONNX by running the command below. You can copy and p
|
||||
|
||||
```sh
|
||||
docker build . --build-arg MODEL_SIZE=Nano --rm --output . -f- <<'EOF'
|
||||
FROM python:3.12 AS build
|
||||
FROM python:3.11 AS build
|
||||
RUN apt-get update && apt-get install --no-install-recommends -y libgl1 && rm -rf /var/lib/apt/lists/*
|
||||
COPY --from=ghcr.io/astral-sh/uv:0.10.4 /uv /bin/
|
||||
COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/
|
||||
WORKDIR /rfdetr
|
||||
RUN uv pip install --system rfdetr[onnxexport] torch==2.8.0 onnx==1.19.1 transformers==4.57.6 onnxscript
|
||||
RUN uv pip install --system rfdetr[onnxexport] torch==2.8.0 onnx==1.19.1 onnxscript
|
||||
ARG MODEL_SIZE
|
||||
RUN python3 -c "from rfdetr import RFDETR${MODEL_SIZE}; x = RFDETR${MODEL_SIZE}(resolution=320); x.export(simplify=True)"
|
||||
FROM scratch
|
||||
@@ -1560,11 +1556,7 @@ cd tensorrt_demos/yolo
|
||||
python3 yolo_to_onnx.py -m yolov7-320
|
||||
```
|
||||
|
||||
#### YOLOv9 for Google Coral Support
|
||||
|
||||
[Download the model](https://github.com/dbro/frigate-detector-edgetpu-yolo9/releases/download/v1.0/yolov9-s-relu6-best_320_int8_edgetpu.tflite), bind mount the file into the container, and provide the path with `model.path`. Note that the linked model requires a 17-label [labelmap file](https://raw.githubusercontent.com/dbro/frigate-detector-edgetpu-yolo9/refs/heads/main/labels-coco17.txt) that includes only 17 COCO classes.
|
||||
|
||||
#### YOLOv9 for other detectors
|
||||
#### YOLOv9
|
||||
|
||||
YOLOv9 model can be exported as ONNX using the command below. You can copy and paste the whole thing to your terminal and execute, altering `MODEL_SIZE=t` and `IMG_SIZE=320` in the first line to the [model size](https://github.com/WongKinYiu/yolov9#performance) you would like to convert (available model sizes are `t`, `s`, `m`, `c`, and `e`, common image sizes are `320` and `640`).
|
||||
|
||||
|
||||
@@ -214,12 +214,6 @@ The `exec:`, `echo:`, and `expr:` sources are disabled by default for security.
|
||||
|
||||
:::
|
||||
|
||||
:::warning
|
||||
|
||||
The `exec:`, `echo:`, and `expr:` sources are disabled by default for security. You must set `GO2RTC_ALLOW_ARBITRARY_EXEC=true` to use them. See [Security: Restricted Stream Sources](#security-restricted-stream-sources) for more information.
|
||||
|
||||
:::
|
||||
|
||||
NOTE: The output will need to be passed with two curly braces `{{output}}`
|
||||
|
||||
```yaml
|
||||
|
||||
@@ -9,25 +9,4 @@ Snapshots are accessible in the UI in the Explore pane. This allows for quick su
|
||||
|
||||
To only save snapshots for objects that enter a specific zone, [see the zone docs](./zones.md#restricting-snapshots-to-specific-zones)
|
||||
|
||||
Snapshots sent via MQTT are configured in the [config file](/configuration) under `cameras -> your_camera -> mqtt`
|
||||
|
||||
## Frame Selection
|
||||
|
||||
Frigate does not save every frame — it picks a single "best" frame for each tracked object and uses it for both the snapshot and clean copy. As the object is tracked across frames, Frigate continuously evaluates whether the current frame is better than the previous best based on detection confidence, object size, and the presence of key attributes like faces or license plates. Frames where the object touches the edge of the frame are deprioritized. The snapshot is written to disk once tracking ends using whichever frame was determined to be the best.
|
||||
|
||||
MQTT snapshots are published more frequently — each time a better thumbnail frame is found during tracking, or when the current best image is older than `best_image_timeout` (default: 60s). These use their own annotation settings configured under `cameras -> your_camera -> mqtt`.
|
||||
|
||||
## Clean Copy
|
||||
|
||||
Frigate can produce up to two snapshot files per event, each used in different places:
|
||||
|
||||
| Version | File | Annotations | Used by |
|
||||
| --- | --- | --- | --- |
|
||||
| **Regular snapshot** | `<camera>-<id>.jpg` | Respects your `timestamp`, `bounding_box`, `crop`, and `height` settings | API (`/api/events/<id>/snapshot.jpg`), MQTT (`<camera>/<label>/snapshot`), Explore pane in the UI |
|
||||
| **Clean copy** | `<camera>-<id>-clean.webp` | Always unannotated — no bounding box, no timestamp, no crop, full resolution | API (`/api/events/<id>/snapshot-clean.webp`), [Frigate+](/plus/first_model) submissions, "Download Clean Snapshot" in the UI |
|
||||
|
||||
MQTT snapshots are configured separately under `cameras -> your_camera -> mqtt` and are unrelated to the clean copy.
|
||||
|
||||
The clean copy is required for submitting events to [Frigate+](/plus/first_model) — if you plan to use Frigate+, keep `clean_copy` enabled regardless of your other snapshot settings.
|
||||
|
||||
If you are not using Frigate+ and `timestamp`, `bounding_box`, and `crop` are all disabled, the regular snapshot is already effectively clean, so `clean_copy` provides no benefit and only uses additional disk space. You can safely set `clean_copy: False` in this case.
|
||||
Snapshots sent via MQTT are configured in the [config file](https://docs.frigate.video/configuration/) under `cameras -> your_camera -> mqtt`
|
||||
|
||||
@@ -41,8 +41,8 @@ If the EQ13 is out of stock, the link below may take you to a suggested alternat
|
||||
| Name | Capabilities | Notes |
|
||||
| ------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- | --------------------------------------------------- |
|
||||
| Beelink EQ13 (<a href="https://amzn.to/4jn2qVr" target="_blank" rel="nofollow noopener sponsored">Amazon</a>) | Can run object detection on several 1080p cameras with low-medium activity | Dual gigabit NICs for easy isolated camera network. |
|
||||
| Intel 1120p ([Amazon](https://www.amazon.com/Beelink-i3-1220P-Computer-Display-Gigabit/dp/B0DDCKT9YP)) | Can handle a large number of 1080p cameras with high activity | |
|
||||
| Intel 125H ([Amazon](https://www.amazon.com/MINISFORUM-Pro-125H-Barebone-Computer-HDMI2-1/dp/B0FH21FSZM)) | Can handle a significant number of 1080p cameras with high activity | Includes NPU for more efficient detection in 0.17+ |
|
||||
| Intel 1120p ([Amazon](https://www.amazon.com/Beelink-i3-1220P-Computer-Display-Gigabit/dp/B0DDCKT9YP) | Can handle a large number of 1080p cameras with high activity | |
|
||||
| Intel 125H ([Amazon](https://www.amazon.com/MINISFORUM-Pro-125H-Barebone-Computer-HDMI2-1/dp/B0FH21FSZM) | Can handle a significant number of 1080p cameras with high activity | Includes NPU for more efficient detection in 0.17+ |
|
||||
|
||||
## Detectors
|
||||
|
||||
@@ -86,7 +86,7 @@ Frigate supports multiple different detectors that work on different types of ha
|
||||
|
||||
**Nvidia**
|
||||
|
||||
- [Nvidia GPU](#nvidia-gpus): Nvidia GPUs can provide efficient object detection.
|
||||
- [TensortRT](#tensorrt---nvidia-gpu): TensorRT can run on Nvidia GPUs to provide efficient object detection.
|
||||
- [Supports majority of model architectures via ONNX](../../configuration/object_detectors#onnx-supported-models)
|
||||
- Runs well with any size models including large
|
||||
|
||||
@@ -172,7 +172,7 @@ Inference speeds vary greatly depending on the CPU or GPU used, some known examp
|
||||
| Intel Arc A380 | ~ 6 ms | | 320: ~ 10 ms 640: ~ 22 ms | 336: 20 ms 448: 27 ms | |
|
||||
| Intel Arc A750 | ~ 4 ms | | 320: ~ 8 ms | | |
|
||||
|
||||
### Nvidia GPUs
|
||||
### TensorRT - Nvidia GPU
|
||||
|
||||
Frigate is able to utilize an Nvidia GPU which supports the 12.x series of CUDA libraries.
|
||||
|
||||
@@ -182,15 +182,17 @@ Frigate is able to utilize an Nvidia GPU which supports the 12.x series of CUDA
|
||||
|
||||
Make sure your host system has the [nvidia-container-runtime](https://docs.docker.com/config/containers/resource_constraints/#access-an-nvidia-gpu) installed to pass through the GPU to the container and the host system has a compatible driver installed for your GPU.
|
||||
|
||||
There are improved capabilities in newer GPU architectures that TensorRT can benefit from, such as INT8 operations and Tensor cores. The features compatible with your hardware will be optimized when the model is converted to a trt file. Currently the script provided for generating the model provides a switch to enable/disable FP16 operations. If you wish to use newer features such as INT8 optimization, more work is required.
|
||||
|
||||
#### Compatibility References:
|
||||
|
||||
[NVIDIA TensorRT Support Matrix](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/getting-started/support-matrix.html)
|
||||
[NVIDIA TensorRT Support Matrix](https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-841/support-matrix/index.html)
|
||||
|
||||
[NVIDIA CUDA Compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html)
|
||||
|
||||
[NVIDIA GPU Compute Capability](https://developer.nvidia.com/cuda-gpus)
|
||||
|
||||
Inference is done with the `onnx` detector type. Speeds will vary greatly depending on the GPU and the model used.
|
||||
Inference speeds will vary greatly depending on the GPU and the model used.
|
||||
`tiny (t)` variants are faster than the equivalent non-tiny model, some known examples are below:
|
||||
|
||||
✅ - Accelerated with CUDA Graphs
|
||||
|
||||
@@ -56,7 +56,7 @@ services:
|
||||
volumes:
|
||||
- /path/to/your/config:/config
|
||||
- /path/to/your/storage:/media/frigate
|
||||
- type: tmpfs # 1GB In-memory filesystem for recording segment storage
|
||||
- type: tmpfs # Recommended: 1GB of memory
|
||||
target: /tmp/cache
|
||||
tmpfs:
|
||||
size: 1000000000
|
||||
@@ -112,23 +112,19 @@ The Hailo-8 and Hailo-8L AI accelerators are available in both M.2 and HAT form
|
||||
|
||||
:::warning
|
||||
|
||||
On Raspberry Pi OS **Bookworm**, the kernel includes an older version of the Hailo driver that is incompatible with Frigate. You **must** follow the installation steps below to install the correct driver version, and you **must** disable the built-in kernel driver as described in step 1.
|
||||
|
||||
On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the kernel. It is installed via DKMS, and the conflict described below does not apply. You can simply run the installation script.
|
||||
The Raspberry Pi kernel includes an older version of the Hailo driver that is incompatible with Frigate. You **must** follow the installation steps below to install the correct driver version, and you **must** disable the built-in kernel driver as described in step 1.
|
||||
|
||||
:::
|
||||
|
||||
1. **Disable the built-in Hailo driver (Raspberry Pi Bookworm OS only)**:
|
||||
1. **Disable the built-in Hailo driver (Raspberry Pi only)**:
|
||||
|
||||
:::note
|
||||
|
||||
If you are **not** using a Raspberry Pi with **Bookworm OS**, skip this step and proceed directly to step 2.
|
||||
|
||||
If you are using Raspberry Pi with **Trixie OS**, also skip this step and proceed directly to step 2.
|
||||
If you are **not** using a Raspberry Pi, skip this step and proceed directly to step 2.
|
||||
|
||||
:::
|
||||
|
||||
First, check if the driver is currently loaded:
|
||||
If you are using a Raspberry Pi, you need to blacklist the built-in kernel Hailo driver to prevent conflicts. First, check if the driver is currently loaded:
|
||||
|
||||
```bash
|
||||
lsmod | grep hailo
|
||||
@@ -137,39 +133,19 @@ On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the ke
|
||||
If it shows `hailo_pci`, unload it:
|
||||
|
||||
```bash
|
||||
sudo modprobe -r hailo_pci
|
||||
sudo rmmod hailo_pci
|
||||
```
|
||||
|
||||
Then locate the built-in kernel driver and rename it so it cannot be loaded.
|
||||
Renaming allows the original driver to be restored later if needed.
|
||||
First, locate the currently installed kernel module:
|
||||
Now blacklist the driver to prevent it from loading on boot:
|
||||
|
||||
```bash
|
||||
modinfo -n hailo_pci
|
||||
echo "blacklist hailo_pci" | sudo tee /etc/modprobe.d/blacklist-hailo_pci.conf
|
||||
```
|
||||
|
||||
Example output:
|
||||
|
||||
```
|
||||
/lib/modules/6.6.31+rpt-rpi-2712/kernel/drivers/media/pci/hailo/hailo_pci.ko.xz
|
||||
```
|
||||
|
||||
Save the module path to a variable:
|
||||
Update initramfs to ensure the blacklist takes effect:
|
||||
|
||||
```bash
|
||||
BUILTIN=$(modinfo -n hailo_pci)
|
||||
```
|
||||
|
||||
And rename the module by appending .bak:
|
||||
|
||||
```bash
|
||||
sudo mv "$BUILTIN" "${BUILTIN}.bak"
|
||||
```
|
||||
|
||||
Now refresh the kernel module map so the system recognizes the change:
|
||||
|
||||
```bash
|
||||
sudo depmod -a
|
||||
sudo update-initramfs -u
|
||||
```
|
||||
|
||||
Reboot your Raspberry Pi:
|
||||
@@ -184,7 +160,7 @@ On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the ke
|
||||
lsmod | grep hailo
|
||||
```
|
||||
|
||||
This command should return no results.
|
||||
This command should return no results. If it still shows `hailo_pci`, the blacklist did not take effect properly and you may need to check for other Hailo packages installed via apt that are loading the driver.
|
||||
|
||||
2. **Run the installation script**:
|
||||
|
||||
@@ -207,6 +183,7 @@ On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the ke
|
||||
```
|
||||
|
||||
The script will:
|
||||
|
||||
- Install necessary build dependencies
|
||||
- Clone and build the Hailo driver from the official repository
|
||||
- Install the driver
|
||||
@@ -235,38 +212,6 @@ On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the ke
|
||||
lsmod | grep hailo_pci
|
||||
```
|
||||
|
||||
Verify the driver version:
|
||||
|
||||
```bash
|
||||
cat /sys/module/hailo_pci/version
|
||||
```
|
||||
|
||||
Verify that the firmware was installed correctly:
|
||||
|
||||
```bash
|
||||
ls -l /lib/firmware/hailo/hailo8_fw.bin
|
||||
```
|
||||
|
||||
**Optional: Fix PCIe descriptor page size error**
|
||||
|
||||
If you encounter the following error:
|
||||
|
||||
```
|
||||
[HailoRT] [error] CHECK failed - max_desc_page_size given 16384 is bigger than hw max desc page size 4096
|
||||
```
|
||||
|
||||
Create a configuration file to force the correct descriptor page size:
|
||||
|
||||
```bash
|
||||
echo 'options hailo_pci force_desc_page_size=4096' | sudo tee /etc/modprobe.d/hailo_pci.conf
|
||||
```
|
||||
|
||||
and reboot:
|
||||
|
||||
```bash
|
||||
sudo reboot
|
||||
```
|
||||
|
||||
#### Setup
|
||||
|
||||
To set up Frigate, follow the default installation instructions, for example: `ghcr.io/blakeblackshear/frigate:stable`
|
||||
@@ -462,7 +407,7 @@ services:
|
||||
- /etc/localtime:/etc/localtime:ro
|
||||
- /path/to/your/config:/config
|
||||
- /path/to/your/storage:/media/frigate
|
||||
- type: tmpfs # 1GB In-memory filesystem for recording segment storage
|
||||
- type: tmpfs # Recommended: 1GB of memory
|
||||
target: /tmp/cache
|
||||
tmpfs:
|
||||
size: 1000000000
|
||||
@@ -502,12 +447,12 @@ The official docker image tags for the current stable version are:
|
||||
|
||||
- `stable` - Standard Frigate build for amd64 & RPi Optimized Frigate build for arm64. This build includes support for Hailo devices as well.
|
||||
- `stable-standard-arm64` - Standard Frigate build for arm64
|
||||
- `stable-tensorrt` - Frigate build specific for amd64 devices running an Nvidia GPU
|
||||
- `stable-tensorrt` - Frigate build specific for amd64 devices running an nvidia GPU
|
||||
- `stable-rocm` - Frigate build for [AMD GPUs](../configuration/object_detectors.md#amdrocm-gpu-detector)
|
||||
|
||||
The community supported docker image tags for the current stable version are:
|
||||
|
||||
- `stable-tensorrt-jp6` - Frigate build optimized for Nvidia Jetson devices running Jetpack 6
|
||||
- `stable-tensorrt-jp6` - Frigate build optimized for nvidia Jetson devices running Jetpack 6
|
||||
- `stable-rk` - Frigate build for SBCs with Rockchip SoC
|
||||
|
||||
## Home Assistant Add-on
|
||||
@@ -521,7 +466,7 @@ There are important limitations in HA OS to be aware of:
|
||||
- Separate local storage for media is not yet supported by Home Assistant
|
||||
- AMD GPUs are not supported because HA OS does not include the mesa driver.
|
||||
- Intel NPUs are not supported because HA OS does not include the NPU firmware.
|
||||
- Nvidia GPUs are not supported because addons do not support the Nvidia runtime.
|
||||
- Nvidia GPUs are not supported because addons do not support the nvidia runtime.
|
||||
|
||||
:::
|
||||
|
||||
@@ -689,43 +634,3 @@ docker run \
|
||||
```
|
||||
|
||||
Log into QNAP, open Container Station. Frigate docker container should be listed under 'Overview' and running. Visit Frigate Web UI by clicking Frigate docker, and then clicking the URL shown at the top of the detail page.
|
||||
|
||||
## macOS - Apple Silicon
|
||||
|
||||
:::warning
|
||||
|
||||
macOS uses port 5000 for its Airplay Receiver service. If you want to expose port 5000 in Frigate for local app and API access the port will need to be mapped to another port on the host e.g. 5001
|
||||
|
||||
Failure to remap port 5000 on the host will result in the WebUI and all API endpoints on port 5000 being unreachable, even if port 5000 is exposed correctly in Docker.
|
||||
|
||||
:::
|
||||
|
||||
Docker containers on macOS can be orchestrated by either [Docker Desktop](https://docs.docker.com/desktop/setup/install/mac-install/) or [OrbStack](https://orbstack.dev) (native swift app). The difference in inference speeds is negligable, however CPU, power consumption and container start times will be lower on OrbStack because it is a native Swift application.
|
||||
|
||||
To allow Frigate to use the Apple Silicon Neural Engine / Processing Unit (NPU) the host must be running [Apple Silicon Detector](../configuration/object_detectors.md#apple-silicon-detector) on the host (outside Docker)
|
||||
|
||||
#### Docker Compose example
|
||||
|
||||
```yaml
|
||||
services:
|
||||
frigate:
|
||||
container_name: frigate
|
||||
image: ghcr.io/blakeblackshear/frigate:stable-standard-arm64
|
||||
restart: unless-stopped
|
||||
shm_size: "512mb" # update for your cameras based on calculation above
|
||||
volumes:
|
||||
- /etc/localtime:/etc/localtime:ro
|
||||
- /path/to/your/config:/config
|
||||
- /path/to/your/recordings:/recordings
|
||||
ports:
|
||||
- "8971:8971"
|
||||
# If exposing on macOS map to a diffent host port like 5001 or any orher port with no conflicts
|
||||
# - "5001:5000" # Internal unauthenticated access. Expose carefully.
|
||||
- "8554:8554" # RTSP feeds
|
||||
extra_hosts:
|
||||
# This is very important
|
||||
# It allows frigate access to the NPU on Apple Silicon via Apple Silicon Detector
|
||||
- "host.docker.internal:host-gateway" # Required to talk to the NPU detector
|
||||
environment:
|
||||
- FRIGATE_RTSP_PASSWORD: "password"
|
||||
```
|
||||
|
||||
@@ -20,6 +20,7 @@ Keeping Frigate up to date ensures you benefit from the latest features, perform
|
||||
If you’re running Frigate via Docker (recommended method), follow these steps:
|
||||
|
||||
1. **Stop the Container**:
|
||||
|
||||
- If using Docker Compose:
|
||||
```bash
|
||||
docker compose down frigate
|
||||
@@ -30,8 +31,9 @@ If you’re running Frigate via Docker (recommended method), follow these steps:
|
||||
```
|
||||
|
||||
2. **Update and Pull the Latest Image**:
|
||||
|
||||
- If using Docker Compose:
|
||||
- Edit your `docker-compose.yml` file to specify the desired version tag (e.g., `0.17.0` instead of `0.16.4`). For example:
|
||||
- Edit your `docker-compose.yml` file to specify the desired version tag (e.g., `0.17.0` instead of `0.16.3`). For example:
|
||||
```yaml
|
||||
services:
|
||||
frigate:
|
||||
@@ -49,6 +51,7 @@ If you’re running Frigate via Docker (recommended method), follow these steps:
|
||||
```
|
||||
|
||||
3. **Start the Container**:
|
||||
|
||||
- If using Docker Compose:
|
||||
```bash
|
||||
docker compose up -d
|
||||
@@ -72,15 +75,18 @@ If you’re running Frigate via Docker (recommended method), follow these steps:
|
||||
For users running Frigate as a Home Assistant Addon:
|
||||
|
||||
1. **Check for Updates**:
|
||||
|
||||
- Navigate to **Settings > Add-ons** in Home Assistant.
|
||||
- Find your installed Frigate addon (e.g., "Frigate NVR" or "Frigate NVR (Full Access)").
|
||||
- If an update is available, you’ll see an "Update" button.
|
||||
|
||||
2. **Update the Addon**:
|
||||
|
||||
- Click the "Update" button next to the Frigate addon.
|
||||
- Wait for the process to complete. Home Assistant will handle downloading and installing the new version.
|
||||
|
||||
3. **Restart the Addon**:
|
||||
|
||||
- After updating, go to the addon’s page and click "Restart" to apply the changes.
|
||||
|
||||
4. **Verify the Update**:
|
||||
@@ -99,8 +105,8 @@ If an update causes issues:
|
||||
1. Stop Frigate.
|
||||
2. Restore your backed-up config file and database.
|
||||
3. Revert to the previous image version:
|
||||
- For Docker: Specify an older tag (e.g., `ghcr.io/blakeblackshear/frigate:0.16.4`) in your `docker run` command.
|
||||
- For Docker Compose: Edit your `docker-compose.yml`, specify the older version tag (e.g., `ghcr.io/blakeblackshear/frigate:0.16.4`), and re-run `docker compose up -d`.
|
||||
- For Docker: Specify an older tag (e.g., `ghcr.io/blakeblackshear/frigate:0.16.3`) in your `docker run` command.
|
||||
- For Docker Compose: Edit your `docker-compose.yml`, specify the older version tag (e.g., `ghcr.io/blakeblackshear/frigate:0.16.3`), and re-run `docker compose up -d`.
|
||||
- For Home Assistant: Reinstall the previous addon version manually via the repository if needed and restart the addon.
|
||||
4. Verify the old version is running again.
|
||||
|
||||
|
||||
@@ -119,7 +119,7 @@ services:
|
||||
volumes:
|
||||
- ./config:/config
|
||||
- ./storage:/media/frigate
|
||||
- type: tmpfs # 1GB In-memory filesystem for recording segment storage
|
||||
- type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
|
||||
target: /tmp/cache
|
||||
tmpfs:
|
||||
size: 1000000000
|
||||
|
||||
@@ -16,15 +16,7 @@ See the [MQTT integration
|
||||
documentation](https://www.home-assistant.io/integrations/mqtt/) for more
|
||||
details.
|
||||
|
||||
In addition, MQTT must be enabled in your Frigate configuration file and Frigate must be connected to the same MQTT server as Home Assistant for many of the entities created by the integration to function, e.g.:
|
||||
|
||||
```yaml
|
||||
mqtt:
|
||||
enabled: True
|
||||
host: mqtt.server.com # the address of your HA server that's running the MQTT integration
|
||||
user: your_mqtt_broker_username
|
||||
password: your_mqtt_broker_password
|
||||
```
|
||||
In addition, MQTT must be enabled in your Frigate configuration file and Frigate must be connected to the same MQTT server as Home Assistant for many of the entities created by the integration to function.
|
||||
|
||||
### Integration installation
|
||||
|
||||
@@ -103,12 +95,12 @@ services:
|
||||
|
||||
If you are using Home Assistant Add-on, the URL should be one of the following depending on which Add-on variant you are using. Note that if you are using the Proxy Add-on, you should NOT point the integration at the proxy URL. Just enter the same URL used to access Frigate directly from your network.
|
||||
|
||||
| Add-on Variant | URL |
|
||||
| -------------------------- | -------------------------------------- |
|
||||
| Frigate | `http://ccab4aaf-frigate:5000` |
|
||||
| Frigate (Full Access) | `http://ccab4aaf-frigate-fa:5000` |
|
||||
| Frigate Beta | `http://ccab4aaf-frigate-beta:5000` |
|
||||
| Frigate Beta (Full Access) | `http://ccab4aaf-frigate-fa-beta:5000` |
|
||||
| Add-on Variant | URL |
|
||||
| -------------------------- | ----------------------------------------- |
|
||||
| Frigate | `http://ccab4aaf-frigate:5000` |
|
||||
| Frigate (Full Access) | `http://ccab4aaf-frigate-fa:5000` |
|
||||
| Frigate Beta | `http://ccab4aaf-frigate-beta:5000` |
|
||||
| Frigate Beta (Full Access) | `http://ccab4aaf-frigate-fa-beta:5000` |
|
||||
|
||||
### Frigate running on a separate machine
|
||||
|
||||
|
||||
@@ -120,7 +120,7 @@ Message published for each changed tracked object. The first message is publishe
|
||||
|
||||
### `frigate/tracked_object_update`
|
||||
|
||||
Message published for updates to tracked object metadata. All messages include an `id` field which is the tracked object's event ID, and can be used to look up the event via the API or match it to items in the UI.
|
||||
Message published for updates to tracked object metadata, for example:
|
||||
|
||||
#### Generative AI Description Update
|
||||
|
||||
@@ -134,14 +134,12 @@ Message published for updates to tracked object metadata. All messages include a
|
||||
|
||||
#### Face Recognition Update
|
||||
|
||||
Published after each recognition attempt, regardless of whether the score meets `recognition_threshold`. See the [Face Recognition](/configuration/face_recognition) documentation for details on how scoring works.
|
||||
|
||||
```json
|
||||
{
|
||||
"type": "face",
|
||||
"id": "1607123955.475377-mxklsc",
|
||||
"name": "John", // best matching person, or null if no match
|
||||
"score": 0.95, // running weighted average across all recognition attempts
|
||||
"name": "John",
|
||||
"score": 0.95,
|
||||
"camera": "front_door_cam",
|
||||
"timestamp": 1607123958.748393
|
||||
}
|
||||
@@ -149,13 +147,11 @@ Published after each recognition attempt, regardless of whether the score meets
|
||||
|
||||
#### License Plate Recognition Update
|
||||
|
||||
Published when a license plate is recognized on a car object. See the [License Plate Recognition](/configuration/license_plate_recognition) documentation for details.
|
||||
|
||||
```json
|
||||
{
|
||||
"type": "lpr",
|
||||
"id": "1607123955.475377-mxklsc",
|
||||
"name": "John's Car", // known name for the plate, or null
|
||||
"name": "John's Car",
|
||||
"plate": "123ABC",
|
||||
"score": 0.95,
|
||||
"camera": "driveway_cam",
|
||||
|
||||
@@ -54,8 +54,6 @@ Once you have [requested your first model](../plus/first_model.md) and gotten yo
|
||||
You can either choose the new model from the Frigate+ pane in the Settings page of the Frigate UI, or manually set the model at the root level in your config:
|
||||
|
||||
```yaml
|
||||
detectors: ...
|
||||
|
||||
model:
|
||||
path: plus://<your_model_id>
|
||||
```
|
||||
|
||||
@@ -24,8 +24,6 @@ You will receive an email notification when your Frigate+ model is ready.
|
||||
Models available in Frigate+ can be used with a special model path. No other information needs to be configured because it fetches the remaining config from Frigate+ automatically.
|
||||
|
||||
```yaml
|
||||
detectors: ...
|
||||
|
||||
model:
|
||||
path: plus://<your_model_id>
|
||||
```
|
||||
|
||||
@@ -15,15 +15,15 @@ There are three model types offered in Frigate+, `mobiledet`, `yolonas`, and `yo
|
||||
|
||||
Not all model types are supported by all detectors, so it's important to choose a model type to match your detector as shown in the table under [supported detector types](#supported-detector-types). You can test model types for compatibility and speed on your hardware by using the base models.
|
||||
|
||||
| Model Type | Description |
|
||||
| ----------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `mobiledet` | Based on the same architecture as the default model included with Frigate. Runs on Google Coral devices and CPUs. |
|
||||
| `yolonas` | A newer architecture that offers slightly higher accuracy and improved detection of small objects. Runs on Intel, NVidia GPUs, and AMD GPUs. |
|
||||
| `yolov9` | A leading SOTA (state of the art) object detection model with similar performance to yolonas, but on a wider range of hardware options. Runs on most hardware. |
|
||||
| Model Type | Description |
|
||||
| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
|
||||
| `mobiledet` | Based on the same architecture as the default model included with Frigate. Runs on Google Coral devices and CPUs. |
|
||||
| `yolonas` | A newer architecture that offers slightly higher accuracy and improved detection of small objects. Runs on Intel, NVidia GPUs, and AMD GPUs. |
|
||||
| `yolov9` | A leading SOTA (state of the art) object detection model with similar performance to yolonas, but on a wider range of hardware options. Runs on Intel, NVidia GPUs, AMD GPUs, Hailo, MemryX, Apple Silicon, and Rockchip NPUs. |
|
||||
|
||||
### YOLOv9 Details
|
||||
|
||||
YOLOv9 models are available in `s`, `t`, `edgetpu` variants. When requesting a `yolov9` model, you will be prompted to choose a variant. If you want the model to be compatible with a Google Coral, you will need to choose the `edgetpu` variant. If you are unsure what variant to choose, you should perform some tests with the base models to find the performance level that suits you. The `s` size is most similar to the current `yolonas` models in terms of inference times and accuracy, and a good place to start is the `320x320` resolution model for `yolov9s`.
|
||||
YOLOv9 models are available in `s` and `t` sizes. When requesting a `yolov9` model, you will be prompted to choose a size. If you are unsure what size to choose, you should perform some tests with the base models to find the performance level that suits you. The `s` size is most similar to the current `yolonas` models in terms of inference times and accuracy, and a good place to start is the `320x320` resolution model for `yolov9s`.
|
||||
|
||||
:::info
|
||||
|
||||
@@ -37,21 +37,23 @@ If you have a Hailo device, you will need to specify the hardware you have when
|
||||
|
||||
#### Rockchip (RKNN) Support
|
||||
|
||||
Rockchip models are automatically converted as of 0.17. For 0.16, YOLOv9 onnx models will need to be manually converted. First, you will need to configure Frigate to use the model id for your YOLOv9 onnx model so it downloads the model to your `model_cache` directory. From there, you can follow the [documentation](/configuration/object_detectors.md#converting-your-own-onnx-model-to-rknn-format) to convert it.
|
||||
For 0.16, YOLOv9 onnx models will need to be manually converted. First, you will need to configure Frigate to use the model id for your YOLOv9 onnx model so it downloads the model to your `model_cache` directory. From there, you can follow the [documentation](/configuration/object_detectors.md#converting-your-own-onnx-model-to-rknn-format) to convert it. Automatic conversion is available in 0.17 and later.
|
||||
|
||||
## Supported detector types
|
||||
|
||||
Currently, Frigate+ models support CPU (`cpu`), Google Coral (`edgetpu`), OpenVino (`openvino`), ONNX (`onnx`), Hailo (`hailo8l`), and Rockchip (`rknn`) detectors.
|
||||
Currently, Frigate+ models support CPU (`cpu`), Google Coral (`edgetpu`), OpenVino (`openvino`), ONNX (`onnx`), Hailo (`hailo8l`), and Rockchip\* (`rknn`) detectors.
|
||||
|
||||
| Hardware | Recommended Detector Type | Recommended Model Type |
|
||||
| -------------------------------------------------------------------------------- | ------------------------- | ---------------------- |
|
||||
| [CPU](/configuration/object_detectors.md#cpu-detector-not-recommended) | `cpu` | `mobiledet` |
|
||||
| [Coral (all form factors)](/configuration/object_detectors.md#edge-tpu-detector) | `edgetpu` | `yolov9` |
|
||||
| [Coral (all form factors)](/configuration/object_detectors.md#edge-tpu-detector) | `edgetpu` | `mobiledet` |
|
||||
| [Intel](/configuration/object_detectors.md#openvino-detector) | `openvino` | `yolov9` |
|
||||
| [NVidia GPU](/configuration/object_detectors#onnx) | `onnx` | `yolov9` |
|
||||
| [AMD ROCm GPU](/configuration/object_detectors#amdrocm-gpu-detector) | `onnx` | `yolov9` |
|
||||
| [Hailo8/Hailo8L/Hailo8R](/configuration/object_detectors#hailo-8) | `hailo8l` | `yolov9` |
|
||||
| [Rockchip NPU](/configuration/object_detectors#rockchip-platform) | `rknn` | `yolov9` |
|
||||
| [Rockchip NPU](/configuration/object_detectors#rockchip-platform)\* | `rknn` | `yolov9` |
|
||||
|
||||
_\* Requires manual conversion in 0.16. Automatic conversion available in 0.17 and later._
|
||||
|
||||
## Improving your model
|
||||
|
||||
@@ -79,7 +81,7 @@ Candidate labels are also available for annotation. These labels don't have enou
|
||||
|
||||
Where possible, these labels are mapped to existing labels during training. For example, any `baby` labels are mapped to `person` until support for new labels is added.
|
||||
|
||||
The candidate labels are: `baby`, `bpost`, `badger`, `possum`, `rodent`, `chicken`, `groundhog`, `boar`, `hedgehog`, `tractor`, `golf cart`, `garbage truck`, `bus`, `sports ball`, `la_poste`, `lawnmower`, `heron`, `rickshaw`, `wombat`, `auspost`, `aramex`, `bobcat`, `mustelid`, `transoflex`, `airplane`, `drone`, `mountain_lion`, `crocodile`, `turkey`, `baby_stroller`, `monkey`, `coyote`, `porcupine`, `parcelforce`, `sheep`, `snake`, `helicopter`, `lizard`, `duck`, `hermes`, `cargus`, `fan_courier`, `sameday`
|
||||
The candidate labels are: `baby`, `bpost`, `badger`, `possum`, `rodent`, `chicken`, `groundhog`, `boar`, `hedgehog`, `tractor`, `golf cart`, `garbage truck`, `bus`, `sports ball`
|
||||
|
||||
Candidate labels are not available for automatic suggestions.
|
||||
|
||||
|
||||
@@ -350,15 +350,21 @@ def validate_password_strength(password: str) -> tuple[bool, Optional[str]]:
|
||||
Validate password strength.
|
||||
|
||||
Returns a tuple of (is_valid, error_message).
|
||||
|
||||
Longer passwords are harder to crack than shorter complex ones.
|
||||
https://pages.nist.gov/800-63-3/sp800-63b.html
|
||||
"""
|
||||
if not password:
|
||||
return False, "Password cannot be empty"
|
||||
|
||||
if len(password) < 12:
|
||||
return False, "Password must be at least 12 characters long"
|
||||
if len(password) < 8:
|
||||
return False, "Password must be at least 8 characters long"
|
||||
|
||||
if not any(c.isupper() for c in password):
|
||||
return False, "Password must contain at least one uppercase letter"
|
||||
|
||||
if not any(c.isdigit() for c in password):
|
||||
return False, "Password must contain at least one digit"
|
||||
|
||||
if not any(c in '!@#$%^&*(),.?":{}|<>' for c in password):
|
||||
return False, "Password must contain at least one special character"
|
||||
|
||||
return True, None
|
||||
|
||||
@@ -439,11 +445,10 @@ def resolve_role(
|
||||
Determine the effective role for a request based on proxy headers and configuration.
|
||||
|
||||
Order of resolution:
|
||||
1. If a role header is defined in proxy_config.header_map.role:
|
||||
- If a role_map is configured, treat the header as group claims
|
||||
(split by proxy_config.separator) and map to roles.
|
||||
Admin matches short-circuit to admin.
|
||||
- If no role_map is configured, treat the header as role names directly.
|
||||
1. If a role header is defined in proxy_config.header_map.role:
|
||||
- If a role_map is configured, treat the header as group claims
|
||||
(split by proxy_config.separator) and map to roles.
|
||||
- If no role_map is configured, treat the header as role names directly.
|
||||
2. If no valid role is found, return proxy_config.default_role if it's valid in config_roles, else 'viewer'.
|
||||
|
||||
Args:
|
||||
@@ -493,12 +498,6 @@ def resolve_role(
|
||||
}
|
||||
logger.debug("Matched roles from role_map: %s", matched_roles)
|
||||
|
||||
# If admin matches, prioritize it to avoid accidental downgrade when
|
||||
# users belong to both admin and lower-privilege groups.
|
||||
if "admin" in matched_roles and "admin" in config_roles:
|
||||
logger.debug("Resolved role (with role_map) to 'admin'.")
|
||||
return "admin"
|
||||
|
||||
if matched_roles:
|
||||
resolved = next(
|
||||
(r for r in config_roles if r in matched_roles), validated_default
|
||||
@@ -801,7 +800,7 @@ def get_users():
|
||||
"/users",
|
||||
dependencies=[Depends(require_role(["admin"]))],
|
||||
summary="Create new user",
|
||||
description="Creates a new user with the specified username, password, and role. Requires admin role. Password must be at least 12 characters long.",
|
||||
description='Creates a new user with the specified username, password, and role. Requires admin role. Password must meet strength requirements: minimum 8 characters, at least one uppercase letter, at least one digit, and at least one special character (!@#$%^&*(),.?":{} |<>).',
|
||||
)
|
||||
def create_user(
|
||||
request: Request,
|
||||
@@ -818,15 +817,6 @@ def create_user(
|
||||
content={"message": f"Role must be one of: {', '.join(config_roles)}"},
|
||||
status_code=400,
|
||||
)
|
||||
|
||||
# Validate password strength
|
||||
is_valid, error_message = validate_password_strength(body.password)
|
||||
if not is_valid:
|
||||
return JSONResponse(
|
||||
content={"message": error_message},
|
||||
status_code=400,
|
||||
)
|
||||
|
||||
role = body.role or "viewer"
|
||||
password_hash = hash_password(body.password, iterations=HASH_ITERATIONS)
|
||||
User.insert(
|
||||
@@ -861,7 +851,7 @@ def delete_user(request: Request, username: str):
|
||||
"/users/{username}/password",
|
||||
dependencies=[Depends(allow_any_authenticated())],
|
||||
summary="Update user password",
|
||||
description="Updates a user's password. Users can only change their own password unless they have admin role. Requires the current password to verify identity for non-admin users. Password must be at least 12 characters long. If user changes their own password, a new JWT cookie is automatically issued.",
|
||||
description="Updates a user's password. Users can only change their own password unless they have admin role. Requires the current password to verify identity for non-admin users. Password must meet strength requirements: minimum 8 characters, at least one uppercase letter, at least one digit, and at least one special character (!@#$%^&*(),.?\":{} |<>). If user changes their own password, a new JWT cookie is automatically issued.",
|
||||
)
|
||||
async def update_password(
|
||||
request: Request,
|
||||
|
||||
@@ -73,7 +73,7 @@ def get_faces():
|
||||
face_dict[name] = []
|
||||
|
||||
for file in filter(
|
||||
lambda f: f.lower().endswith((".webp", ".png", ".jpg", ".jpeg")),
|
||||
lambda f: (f.lower().endswith((".webp", ".png", ".jpg", ".jpeg"))),
|
||||
os.listdir(face_dir),
|
||||
):
|
||||
face_dict[name].append(file)
|
||||
@@ -582,7 +582,7 @@ def get_classification_dataset(name: str):
|
||||
dataset_dict[category_name] = []
|
||||
|
||||
for file in filter(
|
||||
lambda f: f.lower().endswith((".webp", ".png", ".jpg", ".jpeg")),
|
||||
lambda f: (f.lower().endswith((".webp", ".png", ".jpg", ".jpeg"))),
|
||||
os.listdir(category_dir),
|
||||
):
|
||||
dataset_dict[category_name].append(file)
|
||||
@@ -693,7 +693,7 @@ def get_classification_images(name: str):
|
||||
status_code=200,
|
||||
content=list(
|
||||
filter(
|
||||
lambda f: f.lower().endswith((".webp", ".png", ".jpg", ".jpeg")),
|
||||
lambda f: (f.lower().endswith((".webp", ".png", ".jpg", ".jpeg"))),
|
||||
os.listdir(train_dir),
|
||||
)
|
||||
),
|
||||
|
||||
@@ -69,25 +69,6 @@ logger = logging.getLogger(__name__)
|
||||
router = APIRouter(tags=[Tags.events])
|
||||
|
||||
|
||||
def _build_attribute_filter_clause(attributes: str):
|
||||
filtered_attributes = [
|
||||
attr.strip() for attr in attributes.split(",") if attr.strip()
|
||||
]
|
||||
attribute_clauses = []
|
||||
|
||||
for attr in filtered_attributes:
|
||||
attribute_clauses.append(Event.data.cast("text") % f'*:"{attr}"*')
|
||||
|
||||
escaped_attr = json.dumps(attr, ensure_ascii=True)[1:-1]
|
||||
if escaped_attr != attr:
|
||||
attribute_clauses.append(Event.data.cast("text") % f'*:"{escaped_attr}"*')
|
||||
|
||||
if not attribute_clauses:
|
||||
return None
|
||||
|
||||
return reduce(operator.or_, attribute_clauses)
|
||||
|
||||
|
||||
@router.get(
|
||||
"/events",
|
||||
response_model=list[EventResponse],
|
||||
@@ -212,9 +193,14 @@ def events(
|
||||
|
||||
if attributes != "all":
|
||||
# Custom classification results are stored as data[model_name] = result_value
|
||||
attribute_clause = _build_attribute_filter_clause(attributes)
|
||||
if attribute_clause is not None:
|
||||
clauses.append(attribute_clause)
|
||||
filtered_attributes = attributes.split(",")
|
||||
attribute_clauses = []
|
||||
|
||||
for attr in filtered_attributes:
|
||||
attribute_clauses.append(Event.data.cast("text") % f'*:"{attr}"*')
|
||||
|
||||
attribute_clause = reduce(operator.or_, attribute_clauses)
|
||||
clauses.append(attribute_clause)
|
||||
|
||||
if recognized_license_plate != "all":
|
||||
filtered_recognized_license_plates = recognized_license_plate.split(",")
|
||||
@@ -522,7 +508,7 @@ def events_search(
|
||||
cameras = params.cameras
|
||||
labels = params.labels
|
||||
sub_labels = params.sub_labels
|
||||
attributes = unquote(params.attributes)
|
||||
attributes = params.attributes
|
||||
zones = params.zones
|
||||
after = params.after
|
||||
before = params.before
|
||||
@@ -621,9 +607,13 @@ def events_search(
|
||||
|
||||
if attributes != "all":
|
||||
# Custom classification results are stored as data[model_name] = result_value
|
||||
attribute_clause = _build_attribute_filter_clause(attributes)
|
||||
if attribute_clause is not None:
|
||||
event_filters.append(attribute_clause)
|
||||
filtered_attributes = attributes.split(",")
|
||||
attribute_clauses = []
|
||||
|
||||
for attr in filtered_attributes:
|
||||
attribute_clauses.append(Event.data.cast("text") % f'*:"{attr}"*')
|
||||
|
||||
event_filters.append(reduce(operator.or_, attribute_clauses))
|
||||
|
||||
if zones != "all":
|
||||
zone_clauses = []
|
||||
|
||||
@@ -108,13 +108,12 @@ class GenAIReviewConfig(FrigateBaseModel):
|
||||
default="""### Normal Activity Indicators (Level 0)
|
||||
- Known/verified people in any zone at any time
|
||||
- People with pets in residential areas
|
||||
- Routine residential vehicle access during daytime/evening (6 AM - 10 PM): entering, exiting, loading/unloading items — normal commute and travel patterns
|
||||
- Deliveries or services during daytime/evening (6 AM - 10 PM): carrying packages to doors/porches, placing items, leaving
|
||||
- Services/maintenance workers with visible tools, uniforms, or service vehicles during daytime
|
||||
- Activity confined to public areas only (sidewalks, streets) without entering property at any time
|
||||
|
||||
### Suspicious Activity Indicators (Level 1)
|
||||
- **Checking or probing vehicle/building access**: trying handles without entering, peering through windows, examining multiple vehicles, or possessing break-in tools — Level 1
|
||||
- **Testing or attempting to open doors/windows/handles on vehicles or buildings** — ALWAYS Level 1 regardless of time or duration
|
||||
- **Unidentified person in private areas (driveways, near vehicles/buildings) during late night/early morning (11 PM - 5 AM)** — ALWAYS Level 1 regardless of activity or duration
|
||||
- Taking items that don't belong to them (packages, objects from porches/driveways)
|
||||
- Climbing or jumping fences/barriers to access property
|
||||
@@ -134,8 +133,8 @@ Evaluate in this order:
|
||||
1. **If person is verified/known** → Level 0 regardless of time or activity
|
||||
2. **If person is unidentified:**
|
||||
- Check time: If late night/early morning (11 PM - 5 AM) AND in private areas (driveways, near vehicles/buildings) → Level 1
|
||||
- Check actions: If probing access (trying handles without entering, checking multiple vehicles), taking items, climbing → Level 1
|
||||
- Otherwise, if daytime/evening (6 AM - 10 PM) with clear legitimate purpose (delivery, service, routine vehicle access) → Level 0
|
||||
- Check actions: If testing doors/handles, taking items, climbing → Level 1
|
||||
- Otherwise, if daytime/evening (6 AM - 10 PM) with clear legitimate purpose (delivery, service worker) → Level 0
|
||||
3. **Escalate to Level 2 if:** Weapons, break-in tools, forced entry in progress, violence, or active property damage visible (escalates from Level 0 or 1)
|
||||
|
||||
The mere presence of an unidentified person in private areas during late night hours is inherently suspicious and warrants human review, regardless of what activity they appear to be doing or how brief the sequence is.""",
|
||||
|
||||
@@ -97,7 +97,7 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
|
||||
self.interpreter.allocate_tensors()
|
||||
self.tensor_input_details = self.interpreter.get_input_details()
|
||||
self.tensor_output_details = self.interpreter.get_output_details()
|
||||
self.labelmap = load_labels(labelmap_path, prefill=0, indexed=False)
|
||||
self.labelmap = load_labels(labelmap_path, prefill=0)
|
||||
self.classifications_per_second.start()
|
||||
|
||||
def __update_metrics(self, duration: float) -> None:
|
||||
@@ -398,7 +398,7 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
|
||||
self.interpreter.allocate_tensors()
|
||||
self.tensor_input_details = self.interpreter.get_input_details()
|
||||
self.tensor_output_details = self.interpreter.get_output_details()
|
||||
self.labelmap = load_labels(labelmap_path, prefill=0, indexed=False)
|
||||
self.labelmap = load_labels(labelmap_path, prefill=0)
|
||||
|
||||
def __update_metrics(self, duration: float) -> None:
|
||||
self.classifications_per_second.update()
|
||||
@@ -419,21 +419,14 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
|
||||
"""
|
||||
if object_id not in self.classification_history:
|
||||
self.classification_history[object_id] = []
|
||||
logger.debug(f"Created new classification history for {object_id}")
|
||||
|
||||
self.classification_history[object_id].append(
|
||||
(current_label, current_score, current_time)
|
||||
)
|
||||
|
||||
history = self.classification_history[object_id]
|
||||
logger.debug(
|
||||
f"History for {object_id}: {len(history)} entries, latest=({current_label}, {current_score})"
|
||||
)
|
||||
|
||||
if len(history) < 3:
|
||||
logger.debug(
|
||||
f"History for {object_id} has {len(history)} entries, need at least 3"
|
||||
)
|
||||
return None, 0.0
|
||||
|
||||
label_counts = {}
|
||||
@@ -452,27 +445,14 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
|
||||
best_count = label_counts[best_label]
|
||||
|
||||
consensus_threshold = total_attempts * 0.6
|
||||
logger.debug(
|
||||
f"Consensus calc for {object_id}: label_counts={label_counts}, "
|
||||
f"best_label={best_label}, best_count={best_count}, "
|
||||
f"total={total_attempts}, threshold={consensus_threshold}"
|
||||
)
|
||||
|
||||
if best_count < consensus_threshold:
|
||||
logger.debug(
|
||||
f"No consensus for {object_id}: {best_count} < {consensus_threshold}"
|
||||
)
|
||||
return None, 0.0
|
||||
|
||||
avg_score = sum(label_scores[best_label]) / len(label_scores[best_label])
|
||||
|
||||
if best_label == "none":
|
||||
logger.debug(f"Filtering 'none' label for {object_id}")
|
||||
return None, 0.0
|
||||
|
||||
logger.debug(
|
||||
f"Consensus reached for {object_id}: {best_label} with avg_score={avg_score}"
|
||||
)
|
||||
return best_label, avg_score
|
||||
|
||||
def process_frame(self, obj_data, frame):
|
||||
@@ -580,30 +560,17 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
|
||||
)
|
||||
|
||||
if score < self.model_config.threshold:
|
||||
logger.debug(
|
||||
f"{self.model_config.name}: Score {score} < threshold {self.model_config.threshold} for {object_id}, skipping"
|
||||
)
|
||||
logger.debug(f"Score {score} is less than threshold.")
|
||||
return
|
||||
|
||||
sub_label = self.labelmap[best_id]
|
||||
|
||||
logger.debug(
|
||||
f"{self.model_config.name}: Object {object_id} (label={obj_data['label']}) passed threshold with sub_label={sub_label}, score={score}"
|
||||
)
|
||||
|
||||
consensus_label, consensus_score = self.get_weighted_score(
|
||||
object_id, sub_label, score, now
|
||||
)
|
||||
|
||||
logger.debug(
|
||||
f"{self.model_config.name}: get_weighted_score returned consensus_label={consensus_label}, consensus_score={consensus_score} for {object_id}"
|
||||
)
|
||||
|
||||
if consensus_label is not None:
|
||||
camera = obj_data["camera"]
|
||||
logger.debug(
|
||||
f"{self.model_config.name}: Publishing sub_label={consensus_label} for {obj_data['label']} object {object_id} on {camera}"
|
||||
)
|
||||
|
||||
if (
|
||||
self.model_config.object_config.classification_type
|
||||
@@ -658,7 +625,6 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
|
||||
def handle_request(self, topic, request_data):
|
||||
if topic == EmbeddingsRequestEnum.reload_classification_model.value:
|
||||
if request_data.get("model_name") == self.model_config.name:
|
||||
self.__build_detector()
|
||||
logger.info(
|
||||
f"Successfully loaded updated model for {self.model_config.name}"
|
||||
)
|
||||
@@ -696,7 +662,7 @@ def write_classification_attempt(
|
||||
# delete oldest face image if maximum is reached
|
||||
try:
|
||||
files = sorted(
|
||||
filter(lambda f: f.endswith(".webp"), os.listdir(folder)),
|
||||
filter(lambda f: (f.endswith(".webp")), os.listdir(folder)),
|
||||
key=lambda f: os.path.getctime(os.path.join(folder, f)),
|
||||
reverse=True,
|
||||
)
|
||||
|
||||
@@ -539,7 +539,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
|
||||
cv2.imwrite(file, frame)
|
||||
|
||||
files = sorted(
|
||||
filter(lambda f: f.endswith(".webp"), os.listdir(folder)),
|
||||
filter(lambda f: (f.endswith(".webp")), os.listdir(folder)),
|
||||
key=lambda f: os.path.getctime(os.path.join(folder, f)),
|
||||
reverse=True,
|
||||
)
|
||||
|
||||
@@ -633,7 +633,7 @@ class EmbeddingMaintainer(threading.Thread):
|
||||
|
||||
camera, frame_name, _, _, motion_boxes, _ = data
|
||||
|
||||
if not camera or camera not in self.config.cameras:
|
||||
if not camera or len(motion_boxes) == 0 or camera not in self.config.cameras:
|
||||
return
|
||||
|
||||
camera_config = self.config.cameras[camera]
|
||||
@@ -660,10 +660,8 @@ class EmbeddingMaintainer(threading.Thread):
|
||||
return
|
||||
|
||||
for processor in self.realtime_processors:
|
||||
if (
|
||||
dedicated_lpr_enabled
|
||||
and len(motion_boxes) > 0
|
||||
and isinstance(processor, LicensePlateRealTimeProcessor)
|
||||
if dedicated_lpr_enabled and isinstance(
|
||||
processor, LicensePlateRealTimeProcessor
|
||||
):
|
||||
processor.process_frame(camera, yuv_frame, True)
|
||||
|
||||
|
||||
@@ -6,7 +6,6 @@ from typing import Dict
|
||||
|
||||
from frigate.comms.events_updater import EventEndPublisher, EventUpdateSubscriber
|
||||
from frigate.config import FrigateConfig
|
||||
from frigate.config.classification import ObjectClassificationType
|
||||
from frigate.events.types import EventStateEnum, EventTypeEnum
|
||||
from frigate.models import Event
|
||||
from frigate.util.builtin import to_relative_box
|
||||
@@ -16,16 +15,6 @@ logger = logging.getLogger(__name__)
|
||||
|
||||
def should_update_db(prev_event: Event, current_event: Event) -> bool:
|
||||
"""If current_event has updated fields and (clip or snapshot)."""
|
||||
# If event is ending and was previously saved, always update to set end_time
|
||||
# This ensures events are properly ended even when alerts/detections are disabled
|
||||
# mid-event (which can cause has_clip/has_snapshot to become False)
|
||||
if (
|
||||
prev_event["end_time"] is None
|
||||
and current_event["end_time"] is not None
|
||||
and (prev_event["has_clip"] or prev_event["has_snapshot"])
|
||||
):
|
||||
return True
|
||||
|
||||
if current_event["has_clip"] or current_event["has_snapshot"]:
|
||||
# if this is the first time has_clip or has_snapshot turned true
|
||||
if not prev_event["has_clip"] and not prev_event["has_snapshot"]:
|
||||
@@ -248,18 +237,6 @@ class EventProcessor(threading.Thread):
|
||||
"recognized_license_plate"
|
||||
][1]
|
||||
|
||||
# only overwrite attribute-type custom model fields in the database if they're set
|
||||
for name, model_config in self.config.classification.custom.items():
|
||||
if (
|
||||
model_config.object_config
|
||||
and model_config.object_config.classification_type
|
||||
== ObjectClassificationType.attribute
|
||||
):
|
||||
value = event_data.get(name)
|
||||
if value is not None:
|
||||
event[Event.data][name] = value[0]
|
||||
event[Event.data][f"{name}_score"] = value[1]
|
||||
|
||||
(
|
||||
Event.insert(event)
|
||||
.on_conflict(
|
||||
|
||||
@@ -99,8 +99,8 @@ When forming your description:
|
||||
## Response Format
|
||||
|
||||
Your response MUST be a flat JSON object with:
|
||||
- `title` (string): A concise, direct title that describes the primary action or event in the sequence, not just what you literally see. Use spatial context when available to make titles more meaningful. When multiple objects/actions are present, prioritize whichever is most prominent or occurs first. Use names from "Objects in Scene" based on what you visually observe. If you see both a name and an unidentified object of the same type but visually observe only one person/object, use ONLY the name. Examples: "Joe walking dog", "Person taking out trash", "Vehicle arriving in driveway", "Joe accessing vehicle", "Person leaving porch for driveway".
|
||||
- `scene` (string): A narrative description of what happens across the sequence from start to finish, in chronological order. Start by describing how the sequence begins, then describe the progression of events. **Describe all significant movements and actions in the order they occur.** For example, if a vehicle arrives and then a person exits, describe both actions sequentially. **Only describe actions you can actually observe happening in the frames provided.** Do not infer or assume actions that aren't visible (e.g., if you see someone walking but never see them sit, don't say they sat down). Include setting, detected objects, and their observable actions. Avoid speculation or filling in assumed behaviors. Your description should align with and support the threat level you assign.
|
||||
- `title` (string): A concise, grammatically complete title in the format "[Subject] [action verb] [context]" that matches your scene description. Use names from "Objects in Scene" when you visually observe them.
|
||||
- `shortSummary` (string): A brief 2-sentence summary of the scene, suitable for notifications. Should capture the key activity and context without full detail. This should be a condensed version of the scene description above.
|
||||
- `confidence` (float): 0-1 confidence in your analysis. Higher confidence when objects/actions are clearly visible and context is unambiguous. Lower confidence when the sequence is unclear, objects are partially obscured, or context is ambiguous.
|
||||
- `potential_threat_level` (integer): 0, 1, or 2 as defined in "Normal Activity Patterns for This Property" above. Your threat level must be consistent with your scene description and the guidance above.
|
||||
@@ -140,7 +140,12 @@ Each line represents a detection state, not necessarily unique individuals. Pare
|
||||
) as f:
|
||||
f.write(context_prompt)
|
||||
|
||||
response = self._send(context_prompt, thumbnails)
|
||||
json_schema = {
|
||||
"name": "review_metadata",
|
||||
"schema": ReviewMetadata.model_json_schema(),
|
||||
"strict": True,
|
||||
}
|
||||
response = self._send(context_prompt, thumbnails, json_schema=json_schema)
|
||||
|
||||
if debug_save and response:
|
||||
with open(
|
||||
@@ -152,6 +157,8 @@ Each line represents a detection state, not necessarily unique individuals. Pare
|
||||
f.write(response)
|
||||
|
||||
if response:
|
||||
# With JSON schema, response should already be valid JSON
|
||||
# But keep regex cleanup as fallback for providers without schema support
|
||||
clean_json = re.sub(
|
||||
r"\n?```$", "", re.sub(r"^```[a-zA-Z0-9]*\n?", "", response)
|
||||
)
|
||||
@@ -284,8 +291,16 @@ Guidelines:
|
||||
"""Initialize the client."""
|
||||
return None
|
||||
|
||||
def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
|
||||
"""Submit a request to the provider."""
|
||||
def _send(
|
||||
self, prompt: str, images: list[bytes], json_schema: Optional[dict] = None
|
||||
) -> Optional[str]:
|
||||
"""Submit a request to the provider.
|
||||
|
||||
Args:
|
||||
prompt: The text prompt to send
|
||||
images: List of image bytes to include
|
||||
json_schema: Optional JSON schema for structured output (provider-specific support)
|
||||
"""
|
||||
return None
|
||||
|
||||
def get_context_size(self) -> int:
|
||||
|
||||
@@ -41,29 +41,46 @@ class OpenAIClient(GenAIClient):
|
||||
azure_endpoint=azure_endpoint,
|
||||
)
|
||||
|
||||
def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
|
||||
def _send(
|
||||
self, prompt: str, images: list[bytes], json_schema: Optional[dict] = None
|
||||
) -> Optional[str]:
|
||||
"""Submit a request to Azure OpenAI."""
|
||||
encoded_images = [base64.b64encode(image).decode("utf-8") for image in images]
|
||||
|
||||
request_params = {
|
||||
"model": self.genai_config.model,
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": [{"type": "text", "text": prompt}]
|
||||
+ [
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {
|
||||
"url": f"data:image/jpeg;base64,{image}",
|
||||
"detail": "low",
|
||||
},
|
||||
}
|
||||
for image in encoded_images
|
||||
],
|
||||
},
|
||||
],
|
||||
"timeout": self.timeout,
|
||||
}
|
||||
|
||||
if json_schema:
|
||||
request_params["response_format"] = {
|
||||
"type": "json_schema",
|
||||
"json_schema": {
|
||||
"name": json_schema.get("name", "response"),
|
||||
"schema": json_schema.get("schema", {}),
|
||||
"strict": json_schema.get("strict", True),
|
||||
},
|
||||
}
|
||||
|
||||
try:
|
||||
result = self.provider.chat.completions.create(
|
||||
model=self.genai_config.model,
|
||||
messages=[
|
||||
{
|
||||
"role": "user",
|
||||
"content": [{"type": "text", "text": prompt}]
|
||||
+ [
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {
|
||||
"url": f"data:image/jpeg;base64,{image}",
|
||||
"detail": "low",
|
||||
},
|
||||
}
|
||||
for image in encoded_images
|
||||
],
|
||||
},
|
||||
],
|
||||
timeout=self.timeout,
|
||||
**request_params,
|
||||
**self.genai_config.runtime_options,
|
||||
)
|
||||
except Exception as e:
|
||||
|
||||
@@ -41,7 +41,9 @@ class GeminiClient(GenAIClient):
|
||||
http_options=types.HttpOptions(**http_options_dict),
|
||||
)
|
||||
|
||||
def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
|
||||
def _send(
|
||||
self, prompt: str, images: list[bytes], json_schema: Optional[dict] = None
|
||||
) -> Optional[str]:
|
||||
"""Submit a request to Gemini."""
|
||||
contents = [
|
||||
types.Part.from_bytes(data=img, mime_type="image/jpeg") for img in images
|
||||
@@ -51,6 +53,12 @@ class GeminiClient(GenAIClient):
|
||||
generation_config_dict = {"candidate_count": 1}
|
||||
generation_config_dict.update(self.genai_config.runtime_options)
|
||||
|
||||
if json_schema and "schema" in json_schema:
|
||||
generation_config_dict["response_mime_type"] = "application/json"
|
||||
generation_config_dict["response_schema"] = types.Schema(
|
||||
json_schema=json_schema["schema"]
|
||||
)
|
||||
|
||||
response = self.provider.models.generate_content(
|
||||
model=self.genai_config.model,
|
||||
contents=contents,
|
||||
|
||||
@@ -50,7 +50,9 @@ class OllamaClient(GenAIClient):
|
||||
logger.warning("Error initializing Ollama: %s", str(e))
|
||||
return None
|
||||
|
||||
def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
|
||||
def _send(
|
||||
self, prompt: str, images: list[bytes], json_schema: Optional[dict] = None
|
||||
) -> Optional[str]:
|
||||
"""Submit a request to Ollama"""
|
||||
if self.provider is None:
|
||||
logger.warning(
|
||||
@@ -62,6 +64,10 @@ class OllamaClient(GenAIClient):
|
||||
**self.provider_options,
|
||||
**self.genai_config.runtime_options,
|
||||
}
|
||||
|
||||
if json_schema and "schema" in json_schema:
|
||||
ollama_options["format"] = json_schema["schema"]
|
||||
|
||||
result = self.provider.generate(
|
||||
self.genai_config.model,
|
||||
prompt,
|
||||
|
||||
@@ -31,7 +31,9 @@ class OpenAIClient(GenAIClient):
|
||||
}
|
||||
return OpenAI(api_key=self.genai_config.api_key, **provider_opts)
|
||||
|
||||
def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
|
||||
def _send(
|
||||
self, prompt: str, images: list[bytes], json_schema: Optional[dict] = None
|
||||
) -> Optional[str]:
|
||||
"""Submit a request to OpenAI."""
|
||||
encoded_images = [base64.b64encode(image).decode("utf-8") for image in images]
|
||||
messages_content = []
|
||||
@@ -51,16 +53,31 @@ class OpenAIClient(GenAIClient):
|
||||
"text": prompt,
|
||||
}
|
||||
)
|
||||
|
||||
request_params = {
|
||||
"model": self.genai_config.model,
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": messages_content,
|
||||
},
|
||||
],
|
||||
"timeout": self.timeout,
|
||||
}
|
||||
|
||||
if json_schema:
|
||||
request_params["response_format"] = {
|
||||
"type": "json_schema",
|
||||
"json_schema": {
|
||||
"name": json_schema.get("name", "response"),
|
||||
"schema": json_schema.get("schema", {}),
|
||||
"strict": json_schema.get("strict", True),
|
||||
},
|
||||
}
|
||||
|
||||
try:
|
||||
result = self.provider.chat.completions.create(
|
||||
model=self.genai_config.model,
|
||||
messages=[
|
||||
{
|
||||
"role": "user",
|
||||
"content": messages_content,
|
||||
},
|
||||
],
|
||||
timeout=self.timeout,
|
||||
**request_params,
|
||||
**self.genai_config.runtime_options,
|
||||
)
|
||||
if (
|
||||
|
||||
@@ -26,16 +26,15 @@ LOG_HANDLER.setFormatter(
|
||||
|
||||
# filter out norfair warning
|
||||
LOG_HANDLER.addFilter(
|
||||
lambda record: (
|
||||
not record.getMessage().startswith("You are using a scalar distance function")
|
||||
lambda record: not record.getMessage().startswith(
|
||||
"You are using a scalar distance function"
|
||||
)
|
||||
)
|
||||
|
||||
# filter out tflite logging
|
||||
LOG_HANDLER.addFilter(
|
||||
lambda record: (
|
||||
"Created TensorFlow Lite XNNPACK delegate for CPU." not in record.getMessage()
|
||||
)
|
||||
lambda record: "Created TensorFlow Lite XNNPACK delegate for CPU."
|
||||
not in record.getMessage()
|
||||
)
|
||||
|
||||
|
||||
|
||||
@@ -208,10 +208,8 @@ class RecordingMaintainer(threading.Thread):
|
||||
processed_segment_count = len(
|
||||
list(
|
||||
filter(
|
||||
lambda r: (
|
||||
r["start_time"].timestamp()
|
||||
< most_recently_processed_frame_time
|
||||
),
|
||||
lambda r: r["start_time"].timestamp()
|
||||
< most_recently_processed_frame_time,
|
||||
grouped_recordings[camera],
|
||||
)
|
||||
)
|
||||
|
||||
@@ -168,57 +168,6 @@ class TestHttpApp(BaseTestHttp):
|
||||
assert events[0]["id"] == id
|
||||
assert events[1]["id"] == id2
|
||||
|
||||
def test_get_event_list_match_multilingual_attribute(self):
|
||||
event_id = "123456.zh"
|
||||
attribute = "中文标签"
|
||||
|
||||
with AuthTestClient(self.app) as client:
|
||||
super().insert_mock_event(event_id, data={"custom_attr": attribute})
|
||||
|
||||
events = client.get("/events", params={"attributes": attribute}).json()
|
||||
assert len(events) == 1
|
||||
assert events[0]["id"] == event_id
|
||||
|
||||
events = client.get(
|
||||
"/events", params={"attributes": "%E4%B8%AD%E6%96%87%E6%A0%87%E7%AD%BE"}
|
||||
).json()
|
||||
assert len(events) == 1
|
||||
assert events[0]["id"] == event_id
|
||||
|
||||
def test_events_search_match_multilingual_attribute(self):
|
||||
event_id = "123456.zh.search"
|
||||
attribute = "中文标签"
|
||||
mock_embeddings = Mock()
|
||||
mock_embeddings.search_thumbnail.return_value = [(event_id, 0.05)]
|
||||
|
||||
self.app.frigate_config.semantic_search.enabled = True
|
||||
self.app.embeddings = mock_embeddings
|
||||
|
||||
with AuthTestClient(self.app) as client:
|
||||
super().insert_mock_event(event_id, data={"custom_attr": attribute})
|
||||
|
||||
events = client.get(
|
||||
"/events/search",
|
||||
params={
|
||||
"search_type": "similarity",
|
||||
"event_id": event_id,
|
||||
"attributes": attribute,
|
||||
},
|
||||
).json()
|
||||
assert len(events) == 1
|
||||
assert events[0]["id"] == event_id
|
||||
|
||||
events = client.get(
|
||||
"/events/search",
|
||||
params={
|
||||
"search_type": "similarity",
|
||||
"event_id": event_id,
|
||||
"attributes": "%E4%B8%AD%E6%96%87%E6%A0%87%E7%AD%BE",
|
||||
},
|
||||
).json()
|
||||
assert len(events) == 1
|
||||
assert events[0]["id"] == event_id
|
||||
|
||||
def test_get_good_event(self):
|
||||
id = "123456.random"
|
||||
|
||||
|
||||
@@ -31,21 +31,6 @@ class TestProxyRoleResolution(unittest.TestCase):
|
||||
role = resolve_role(headers, self.proxy_config, self.config_roles)
|
||||
self.assertEqual(role, "admin")
|
||||
|
||||
def test_role_map_or_matching(self):
|
||||
config = self.proxy_config
|
||||
config.header_map.role_map = {
|
||||
"admin": ["group_admin", "group_privileged"],
|
||||
}
|
||||
|
||||
# OR semantics: a single matching group should map to the role
|
||||
headers = {"x-remote-role": "group_admin"}
|
||||
role = resolve_role(headers, config, self.config_roles)
|
||||
self.assertEqual(role, "admin")
|
||||
|
||||
headers = {"x-remote-role": "group_admin|group_privileged"}
|
||||
role = resolve_role(headers, config, self.config_roles)
|
||||
self.assertEqual(role, "admin")
|
||||
|
||||
def test_direct_role_header_with_separator(self):
|
||||
config = self.proxy_config
|
||||
config.header_map.role_map = None # disable role_map
|
||||
|
||||
@@ -377,14 +377,7 @@ class TrackedObject:
|
||||
return (thumb_update, significant_change, path_update, autotracker_update)
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
# Tracking internals excluded from output (centroid, estimate, estimate_velocity)
|
||||
_EXCLUDED_OBJ_DATA_KEYS = {
|
||||
"centroid",
|
||||
"estimate",
|
||||
"estimate_velocity",
|
||||
}
|
||||
|
||||
event: dict[str, Any] = {
|
||||
event = {
|
||||
"id": self.obj_data["id"],
|
||||
"camera": self.camera_config.name,
|
||||
"frame_time": self.obj_data["frame_time"],
|
||||
@@ -419,11 +412,6 @@ class TrackedObject:
|
||||
"recognized_license_plate": self.obj_data.get("recognized_license_plate"),
|
||||
}
|
||||
|
||||
# Add any other obj_data keys (e.g. custom attribute fields) not yet included
|
||||
for key, value in self.obj_data.items():
|
||||
if key not in _EXCLUDED_OBJ_DATA_KEYS and key not in event:
|
||||
event[key] = value
|
||||
|
||||
return event
|
||||
|
||||
def is_active(self) -> bool:
|
||||
|
||||
@@ -129,9 +129,7 @@ def get_ffmpeg_arg_list(arg: Any) -> list:
|
||||
return arg if isinstance(arg, list) else shlex.split(arg)
|
||||
|
||||
|
||||
def load_labels(
|
||||
path: Optional[str], encoding="utf-8", prefill=91, indexed: bool | None = None
|
||||
):
|
||||
def load_labels(path: Optional[str], encoding="utf-8", prefill=91):
|
||||
"""Loads labels from file (with or without index numbers).
|
||||
Args:
|
||||
path: path to label file.
|
||||
@@ -148,12 +146,11 @@ def load_labels(
|
||||
if not lines:
|
||||
return {}
|
||||
|
||||
if indexed != False and lines[0].split(" ", maxsplit=1)[0].isdigit():
|
||||
if lines[0].split(" ", maxsplit=1)[0].isdigit():
|
||||
pairs = [line.split(" ", maxsplit=1) for line in lines]
|
||||
labels.update({int(index): label.strip() for index, label in pairs})
|
||||
else:
|
||||
labels.update({index: line.strip() for index, line in enumerate(lines)})
|
||||
|
||||
return labels
|
||||
|
||||
|
||||
|
||||
@@ -214,7 +214,6 @@ class CameraWatchdog(threading.Thread):
|
||||
self.latest_valid_segment_time: float = 0
|
||||
self.latest_invalid_segment_time: float = 0
|
||||
self.latest_cache_segment_time: float = 0
|
||||
self.record_enable_time: datetime | None = None
|
||||
|
||||
def _update_enabled_state(self) -> bool:
|
||||
"""Fetch the latest config and update enabled state."""
|
||||
@@ -262,9 +261,6 @@ class CameraWatchdog(threading.Thread):
|
||||
def run(self) -> None:
|
||||
if self._update_enabled_state():
|
||||
self.start_all_ffmpeg()
|
||||
# If recording is enabled at startup, set the grace period timer
|
||||
if self.config.record.enabled:
|
||||
self.record_enable_time = datetime.now().astimezone(timezone.utc)
|
||||
|
||||
time.sleep(self.sleeptime)
|
||||
while not self.stop_event.wait(self.sleeptime):
|
||||
@@ -274,15 +270,13 @@ class CameraWatchdog(threading.Thread):
|
||||
self.logger.debug(f"Enabling camera {self.config.name}")
|
||||
self.start_all_ffmpeg()
|
||||
|
||||
# reset all timestamps and record the enable time for grace period
|
||||
# reset all timestamps
|
||||
self.latest_valid_segment_time = 0
|
||||
self.latest_invalid_segment_time = 0
|
||||
self.latest_cache_segment_time = 0
|
||||
self.record_enable_time = datetime.now().astimezone(timezone.utc)
|
||||
else:
|
||||
self.logger.debug(f"Disabling camera {self.config.name}")
|
||||
self.stop_all_ffmpeg()
|
||||
self.record_enable_time = None
|
||||
|
||||
# update camera status
|
||||
self.requestor.send_data(
|
||||
@@ -367,12 +361,6 @@ class CameraWatchdog(threading.Thread):
|
||||
if self.config.record.enabled and "record" in p["roles"]:
|
||||
now_utc = datetime.now().astimezone(timezone.utc)
|
||||
|
||||
# Check if we're within the grace period after enabling recording
|
||||
# Grace period: 90 seconds allows time for ffmpeg to start and create first segment
|
||||
in_grace_period = self.record_enable_time is not None and (
|
||||
now_utc - self.record_enable_time
|
||||
) < timedelta(seconds=90)
|
||||
|
||||
latest_cache_dt = (
|
||||
datetime.fromtimestamp(
|
||||
self.latest_cache_segment_time, tz=timezone.utc
|
||||
@@ -398,16 +386,10 @@ class CameraWatchdog(threading.Thread):
|
||||
)
|
||||
|
||||
# ensure segments are still being created and that they have valid video data
|
||||
# Skip checks during grace period to allow segments to start being created
|
||||
cache_stale = not in_grace_period and now_utc > (
|
||||
latest_cache_dt + timedelta(seconds=120)
|
||||
)
|
||||
valid_stale = not in_grace_period and now_utc > (
|
||||
latest_valid_dt + timedelta(seconds=120)
|
||||
)
|
||||
cache_stale = now_utc > (latest_cache_dt + timedelta(seconds=120))
|
||||
valid_stale = now_utc > (latest_valid_dt + timedelta(seconds=120))
|
||||
invalid_stale_condition = (
|
||||
self.latest_invalid_segment_time > 0
|
||||
and not in_grace_period
|
||||
and now_utc > (latest_invalid_dt + timedelta(seconds=120))
|
||||
and self.latest_valid_segment_time
|
||||
<= self.latest_invalid_segment_time
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
{
|
||||
"train": {
|
||||
"titleShort": "الأخيرة"
|
||||
},
|
||||
"documentTitle": "تصنيف النماذج - Frigate"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -60,7 +60,7 @@
|
||||
"cough": "Tos",
|
||||
"throat_clearing": "Carraspeig",
|
||||
"sneeze": "Esternut",
|
||||
"sniff": "olorar",
|
||||
"sniff": "Fregit nasal",
|
||||
"run": "Córrer",
|
||||
"shuffle": "Passos arrossegats",
|
||||
"footsteps": "Passos",
|
||||
@@ -97,7 +97,7 @@
|
||||
"moo": "Mugir",
|
||||
"cowbell": "Esquellot",
|
||||
"pig": "Porc",
|
||||
"oink": "Oinc",
|
||||
"oink": "Oink",
|
||||
"bleat": "Brama",
|
||||
"fowl": "Au de corral",
|
||||
"chicken": "Pollastre",
|
||||
@@ -439,37 +439,37 @@
|
||||
"inside": "Interior",
|
||||
"pulse": "Pols",
|
||||
"outside": "Fora",
|
||||
"chirp_tone": "Gisclada",
|
||||
"chirp_tone": "To de grinyol",
|
||||
"harmonic": "Harmònic",
|
||||
"sine_wave": "Ona sinus",
|
||||
"crunch": "Cruixit",
|
||||
"hum": "Zunzum",
|
||||
"plop": "Xip-xap",
|
||||
"hum": "Taral·lejar",
|
||||
"plop": "Chof",
|
||||
"clickety_clack": "Clic-Clac",
|
||||
"clicking": "Clicant",
|
||||
"clatter": "Rebombori",
|
||||
"clatter": "Soroll",
|
||||
"chird": "Piular",
|
||||
"liquid": "Líquid",
|
||||
"splash": "Esquitx",
|
||||
"slosh": "Xipolleig",
|
||||
"boing": "Rebot",
|
||||
"zing": "Zunzum agut",
|
||||
"rumble": "Retombori",
|
||||
"sizzle": "Crepitació",
|
||||
"splash": "Xof",
|
||||
"slosh": "Xip-xap",
|
||||
"boing": "Boing",
|
||||
"zing": "Fiu",
|
||||
"rumble": "Bum-bum",
|
||||
"sizzle": "Xiu-xiu",
|
||||
"whir": "Brrrm",
|
||||
"rustle": "Frec",
|
||||
"creak": "Rascada",
|
||||
"clang": "Soroll metàl·lic",
|
||||
"rustle": "Fru-Fru",
|
||||
"creak": "Clic-clac",
|
||||
"clang": "Clang",
|
||||
"squish": "Xaf",
|
||||
"drip": "Goteig",
|
||||
"pour": "Abocament",
|
||||
"trickle": "Raig fi",
|
||||
"gush": "Raig fort",
|
||||
"fill": "Ompliment",
|
||||
"ding": "Ting",
|
||||
"ping": "Ressò",
|
||||
"beep": "Pitit",
|
||||
"squeal": "Chirrit",
|
||||
"drip": "Plic-plic",
|
||||
"pour": "Glug-glug",
|
||||
"trickle": "Xiulet",
|
||||
"gush": "Xuuuix",
|
||||
"fill": "Glug-glug",
|
||||
"ding": "Ding",
|
||||
"ping": "Ping",
|
||||
"beep": "Bip",
|
||||
"squeal": "Xiscle",
|
||||
"crumpling": "Arrugant-se",
|
||||
"rub": "Fregar",
|
||||
"scrape": "Raspar",
|
||||
@@ -480,13 +480,13 @@
|
||||
"smash": "Aixafar",
|
||||
"whack": "Cop",
|
||||
"slap": "Bufetada",
|
||||
"bang": "Cop fort",
|
||||
"bang": "Bang",
|
||||
"basketball_bounce": "Rebot de bàsquet",
|
||||
"chorus_effect": "Efecte de cor",
|
||||
"effects_unit": "Unitat d'Efectes",
|
||||
"electronic_tuner": "Afinador electrònic",
|
||||
"thunk": "Bruix",
|
||||
"thump": "Soroll sord",
|
||||
"thump": "Cop fort",
|
||||
"whoosh": "Xiuxiueig",
|
||||
"arrow": "Fletxa",
|
||||
"sonar": "Sonar",
|
||||
|
||||
@@ -48,8 +48,7 @@
|
||||
"bg": "Български (Búlgar)",
|
||||
"gl": "Galego (Gallec)",
|
||||
"id": "Bahasa Indonesia (Indonesi)",
|
||||
"ur": "اردو (Urdú)",
|
||||
"hr": "Hrvatski (croat)"
|
||||
"ur": "اردو (Urdú)"
|
||||
},
|
||||
"system": "Sistema",
|
||||
"systemMetrics": "Mètriques del sistema",
|
||||
@@ -202,8 +201,7 @@
|
||||
},
|
||||
"inProgress": "En curs",
|
||||
"invalidStartTime": "Hora d'inici no vàlida",
|
||||
"invalidEndTime": "Hora de finalització no vàlida",
|
||||
"never": "Mai"
|
||||
"invalidEndTime": "Hora de finalització no vàlida"
|
||||
},
|
||||
"unit": {
|
||||
"speed": {
|
||||
|
||||
@@ -6,8 +6,7 @@
|
||||
"title": "Frigate s'està reiniciant",
|
||||
"content": "Aquesta pàgina es tornarà a carregar d'aquí a {{countdown}} segons.",
|
||||
"button": "Forçar la recàrrega ara"
|
||||
},
|
||||
"description": "Això aturarà breument Frigate mentre es reinicia."
|
||||
}
|
||||
},
|
||||
"explore": {
|
||||
"plus": {
|
||||
|
||||
@@ -19,8 +19,7 @@
|
||||
"description": {
|
||||
"addFace": "Afegiu una col·lecció nova a la biblioteca de cares pujant la vostra primera imatge.",
|
||||
"placeholder": "Introduïu un nom per a aquesta col·lecció",
|
||||
"invalidName": "Nom no vàlid. Els noms només poden incloure lletres, números, espais, apòstrofs, guions baixos i guions.",
|
||||
"nameCannotContainHash": "El nom no pot contenir #."
|
||||
"invalidName": "Nom no vàlid. Els noms només poden incloure lletres, números, espais, apòstrofs, guions baixos i guions."
|
||||
},
|
||||
"documentTitle": "Biblioteca de rostres - Frigate",
|
||||
"uploadFaceImage": {
|
||||
|
||||
@@ -184,16 +184,6 @@
|
||||
"restricted": {
|
||||
"title": "No hi ha càmeres disponibles",
|
||||
"description": "No teniu permís per veure cap càmera en aquest grup."
|
||||
},
|
||||
"default": {
|
||||
"title": "No s'ha configurat cap càmera",
|
||||
"description": "Comenceu connectant una càmera a Frigate.",
|
||||
"buttonText": "Afegeix una càmera"
|
||||
},
|
||||
"group": {
|
||||
"title": "No hi ha càmeres al grup",
|
||||
"description": "Aquest grup de càmeres no té càmeres assignades o habilitades.",
|
||||
"buttonText": "Gestiona els grups"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -114,11 +114,6 @@
|
||||
},
|
||||
"error": {
|
||||
"mustBeFinished": "El dibuix del polígon s'ha d'acabar abans de desar."
|
||||
},
|
||||
"type": {
|
||||
"zone": "zona",
|
||||
"motion_mask": "màscara de moviment",
|
||||
"object_mask": "màscara d'objecte"
|
||||
}
|
||||
},
|
||||
"zoneName": {
|
||||
@@ -537,7 +532,7 @@
|
||||
"hide": "Amaga contrasenya",
|
||||
"requirements": {
|
||||
"title": "Requisits contrasenya:",
|
||||
"length": "Com a mínim 12 carácters",
|
||||
"length": "Com a mínim 8 carácters",
|
||||
"uppercase": "Com a mínim una majúscula",
|
||||
"digit": "Com a mínim un digit",
|
||||
"special": "Com a mínim un carácter especial (!@#$%^&*(),.?\":{}|<>)"
|
||||
@@ -959,7 +954,7 @@
|
||||
"useDigestAuthDescription": "Usa l'autenticació de resum HTTP per a ONVIF. Algunes càmeres poden requerir un nom d'usuari/contrasenya ONVIF dedicat en lloc de l'usuari administrador estàndard."
|
||||
},
|
||||
"save": {
|
||||
"failure": "S'ha produït un error en desar {{cameraName}}.",
|
||||
"failure": "SS'ha produït un error en desar {{cameraName}}.",
|
||||
"success": "S'ha desat correctament la càmera nova {{cameraName}}."
|
||||
},
|
||||
"testResultLabels": {
|
||||
@@ -1216,11 +1211,11 @@
|
||||
"cameraReview": {
|
||||
"object_descriptions": {
|
||||
"title": "Descripcions d'objectes generadors d'IA",
|
||||
"desc": "Activa/desactiva temporalment les descripcions d'objectes generatius d'IA per a aquesta càmera fins que es reiniciï Frigate. Quan està desactivat, les descripcions generades per IA no se sol·licitaran per als objectes rastrejats en aquesta càmera."
|
||||
"desc": "Activa/desactiva temporalment les descripcions d'objectes generatius d'IA per a aquesta càmera. Quan està desactivat, les descripcions generades per IA no se sol·licitaran per als objectes rastrejats en aquesta càmera."
|
||||
},
|
||||
"review_descriptions": {
|
||||
"title": "Descripcions de la IA generativa",
|
||||
"desc": "Activa/desactiva temporalment les descripcions de la IA Generativa per a aquesta càmera fins que es reiniciï Frigate. Quan està desactivat, les descripcions generades per IA no se sol·licitaran per als elements de revisió d'aquesta càmera."
|
||||
"desc": "Activa/desactiva temporalment les descripcions de revisió de la IA generativa per a aquesta càmera. Quan està desactivat, les descripcions generades per IA no se sol·licitaran per als elements de revisió d'aquesta càmera."
|
||||
},
|
||||
"review": {
|
||||
"title": "Revisió",
|
||||
|
||||
@@ -78,11 +78,7 @@
|
||||
"formattedTimestampFilename": {
|
||||
"24hour": "dd-MM-yy-HH-mm-ss",
|
||||
"12hour": "dd-MM.yy-h-mm-ss-a"
|
||||
},
|
||||
"never": "Nikdy",
|
||||
"inProgress": "Zpracovává se",
|
||||
"invalidStartTime": "Neplatný čas začátku",
|
||||
"invalidEndTime": "Neplatný čas konce"
|
||||
}
|
||||
},
|
||||
"button": {
|
||||
"twoWayTalk": "Obousměrná komunikace",
|
||||
@@ -119,17 +115,10 @@
|
||||
"unselect": "Zrušit výběr",
|
||||
"deleteNow": "Smazat hned",
|
||||
"next": "Další",
|
||||
"export": "Exportovat",
|
||||
"continue": "Pokračovat"
|
||||
"export": "Exportovat"
|
||||
},
|
||||
"label": {
|
||||
"back": "Jdi zpět",
|
||||
"hide": "Skrýt {{item}}",
|
||||
"show": "Zobrazit {{item}}",
|
||||
"ID": "ID",
|
||||
"none": "Nic",
|
||||
"all": "Vše",
|
||||
"other": "Ostatní"
|
||||
"back": "Jdi zpět"
|
||||
},
|
||||
"unit": {
|
||||
"speed": {
|
||||
@@ -139,14 +128,6 @@
|
||||
"length": {
|
||||
"feet": "stopa",
|
||||
"meters": "metry"
|
||||
},
|
||||
"data": {
|
||||
"kbps": "kB/s",
|
||||
"mbps": "MB/s",
|
||||
"gbps": "GB/s",
|
||||
"kbph": "kB/hodinu",
|
||||
"mbph": "MB/hodinu",
|
||||
"gbph": "GB/hodinu"
|
||||
}
|
||||
},
|
||||
"selectItem": "Vybrat {{item}}",
|
||||
@@ -249,8 +230,7 @@
|
||||
"uiPlayground": "UI hřiště",
|
||||
"faceLibrary": "Knihovna Obličejů",
|
||||
"configurationEditor": "Editor Konfigurace",
|
||||
"withSystem": "Systém",
|
||||
"classification": "Klasifikace"
|
||||
"withSystem": "Systém"
|
||||
},
|
||||
"pagination": {
|
||||
"previous": {
|
||||
@@ -290,17 +270,5 @@
|
||||
"viewer": "Divák",
|
||||
"desc": "Správci mají plný přístup ke všem funkcím v uživatelském rozhraní Frigate. Diváci jsou omezeni na sledování kamer, položek přehledu a historických záznamů v UI."
|
||||
},
|
||||
"readTheDocumentation": "Přečtěte si dokumentaci",
|
||||
"list": {
|
||||
"two": "{{0}} a {{1}}",
|
||||
"many": "{{items}}, a {{last}}",
|
||||
"separatorWithSpace": ", "
|
||||
},
|
||||
"field": {
|
||||
"optional": "Volitelné",
|
||||
"internalID": "Interní ID Frigate používá v konfiguraci a databázi"
|
||||
},
|
||||
"information": {
|
||||
"pixels": "{{area}}px"
|
||||
}
|
||||
"readTheDocumentation": "Přečtěte si dokumentaci"
|
||||
}
|
||||
|
||||
@@ -44,8 +44,7 @@
|
||||
"button": {
|
||||
"markAsReviewed": "Označit jako zkontrolované",
|
||||
"deleteNow": "Smazat hned",
|
||||
"export": "Exportovat",
|
||||
"markAsUnreviewed": "Označit jako nezkontrolované"
|
||||
"export": "Exportovat"
|
||||
}
|
||||
},
|
||||
"export": {
|
||||
@@ -68,13 +67,12 @@
|
||||
"export": "Exportovat",
|
||||
"selectOrExport": "Vybrat pro Export",
|
||||
"toast": {
|
||||
"success": "Export úspěšně spuštěn. Soubor najdete na stránce exportů.",
|
||||
"success": "Export úspěšně spuštěn. Soubor najdete v adresáři /exports.",
|
||||
"error": {
|
||||
"failed": "Chyba spuštění exportu: {{error}}",
|
||||
"endTimeMustAfterStartTime": "Čas konce musí být po čase začátku",
|
||||
"noVaildTimeSelected": "Není vybráno žádné platné časové období"
|
||||
},
|
||||
"view": "Zobrazení"
|
||||
}
|
||||
},
|
||||
"fromTimeline": {
|
||||
"saveExport": "Uložit export",
|
||||
@@ -118,7 +116,6 @@
|
||||
"search": {
|
||||
"placeholder": "Hledej pomocí štítku nebo podštítku..."
|
||||
},
|
||||
"noImages": "Nebyly nalezeny žádné náhledy pro tuto kameru",
|
||||
"unknownLabel": "Uložený obrázek Spouštěče"
|
||||
"noImages": "Nebyly nalezeny žádné náhledy pro tuto kameru"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -132,9 +132,5 @@
|
||||
},
|
||||
"count_one": "Třída {{count}}",
|
||||
"count_other": "Třídy {{count}}"
|
||||
},
|
||||
"attributes": {
|
||||
"label": "Atributy Klasifikace",
|
||||
"all": "Všechny Atributy"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -38,65 +38,10 @@
|
||||
"deleteImageFailed": "Chyba při mazání: {{errorMessage}}",
|
||||
"deleteCategoryFailed": "Chyba při mazání třídy: {{errorMessage}}",
|
||||
"deleteModelFailed": "Chyba při mazání modelu: {{errorMessage}}",
|
||||
"categorizeFailed": "Chyba při mazání obrázku: {{errorMessage}}",
|
||||
"trainingFailed": "Trénování modelu selhalo. Zkontrolujte logy Frigate pro zjištění detailů.",
|
||||
"trainingFailedToStart": "Chyba spuštění trénování modelu: {{errorMessage}}",
|
||||
"updateModelFailed": "Chyba aktualizace modelu: {{errorMessage}}",
|
||||
"renameCategoryFailed": "Chyba přejmenování třídy: {{errorMessage}}"
|
||||
"categorizeFailed": "Chyba při mazání obrázku: {{errorMessage}}"
|
||||
}
|
||||
},
|
||||
"train": {
|
||||
"titleShort": "Nedávný",
|
||||
"title": "Předchozí klasifikace",
|
||||
"aria": "Vybrat předchozí Klasifikace"
|
||||
},
|
||||
"deleteModel": {
|
||||
"desc_one": "Jste si jistí, že chcete odstranit {{count}} model? Tím trvale odstraníte všechny související data včetně obrázků a tréninkových dat. Tato akce je nevratná.",
|
||||
"desc_few": "Jste si jistí, že chcete odstranit {{count}} modely? Tím trvale odstraníte všechny související data včetně obrázků a tréninkových dat. Tato akce je nevratná.",
|
||||
"desc_other": "Jste si jistí, že chcete odstranit {{count}} modelů? Tím trvale odstraníte všechny související data včetně obrázků a tréninkových dat. Tato akce je nevratná."
|
||||
},
|
||||
"deleteDatasetImages": {
|
||||
"desc_one": "Opravdu chcete odstranit {{count}} obrázek z {{dataset}}? Tato akce je nevratná a vyžaduje přetrénování modelu.",
|
||||
"desc_few": "Opravdu chcete odstranit {{count}} obrázky z {{dataset}}? Tato akce je nevratná a vyžaduje přetrénování modelu.",
|
||||
"desc_other": "Opravdu chcete odstranit {{count}} obrázků z {{dataset}}? Tato akce je nevratná a vyžaduje přetrénování modelu.",
|
||||
"title": "Smazat obrázky datové sady"
|
||||
},
|
||||
"deleteTrainImages": {
|
||||
"desc_one": "Opravdu chcete odstranit {{count}} obrázek? Tato akce je nevratná.",
|
||||
"desc_few": "Opravdu chcete odstranit {{count}} obrázky? Tato akce je nevratná.",
|
||||
"desc_other": "Opravdu chcete odstranit {{count}} obrázků? Tato akce je nevratná.",
|
||||
"title": "Odstranit tréninkové obrázky"
|
||||
},
|
||||
"wizard": {
|
||||
"step3": {
|
||||
"allImagesRequired_one": "Prosím, zařaďte všechny obrázky. Zbývá {{count}} obrázek.",
|
||||
"allImagesRequired_few": "Prosím, zařaďte všechny obrázky. Zbývají {{count}} obrázky.",
|
||||
"allImagesRequired_other": "Prosím, zařaďte všechny obrázky. Zbývá {{count}} obrázků.",
|
||||
"trainingStarted": "Trénování úspěšně spuštěno",
|
||||
"generateSuccess": "Vzorové obrázky byly úspěšně vytvořeny"
|
||||
}
|
||||
},
|
||||
"deleteCategory": {
|
||||
"title": "Smazat Třídu",
|
||||
"desc": "Opravdu chcete odstranit třídu {{name}}? Tím se na trvalo odstraní všechny související obrázky a bude potřeba přetrénovat model.",
|
||||
"minClassesTitle": "Nemůžete smazat třídu",
|
||||
"minClassesDesc": "Klasifikační model musí mít alespoň 2 třídy. Než tuto třídu odstraníte přidejte další třídu."
|
||||
},
|
||||
"edit": {
|
||||
"descriptionObject": "Upravte typ objektu a typ klasifikace pro tento model klasifikace.",
|
||||
"stateClassesInfo": "Poznámka: Změna tříd stavů vyžaduje přetrénování modelu s aktualizovanými třídami."
|
||||
},
|
||||
"renameCategory": {
|
||||
"title": "Přejmenovat třídu",
|
||||
"desc": "Vložte nové jméno pro {{name}}. Aby se změna názvu projevila, bude nutné model znovu natrénovat."
|
||||
},
|
||||
"description": {
|
||||
"invalidName": "Neplatné jméno. Jméno můžou obsahovat pouze písmena, čísla, mezery, apostrofy, podtržítka a spojovníky."
|
||||
},
|
||||
"categories": "Třídy",
|
||||
"createCategory": {
|
||||
"new": "Vytvořit novou Třídu"
|
||||
},
|
||||
"categorizeImageAs": "Klasifikovat obrázek jako:",
|
||||
"categorizeImage": "Klasifikovat obrázek"
|
||||
"titleShort": "Nedávný"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -9,18 +9,14 @@
|
||||
"empty": {
|
||||
"alert": "Nejsou žádné výstrahy na kontrolu",
|
||||
"detection": "Nejsou žádné detekce na kontrolu",
|
||||
"motion": "Nenalezena žádná data o pohybu",
|
||||
"recordingsDisabled": {
|
||||
"title": "Nahrávání musí být povoleno",
|
||||
"description": "Položky revize lze pro kameru vytvořit pouze tehdy, je-li pro ni povoleno nahrávání."
|
||||
}
|
||||
"motion": "Nenalezena žádná data o pohybu"
|
||||
},
|
||||
"timeline": "Časová osa",
|
||||
"timeline.aria": "Zvolit časovou osu",
|
||||
"events": {
|
||||
"label": "Události",
|
||||
"aria": "Zvolit události",
|
||||
"noFoundForTimePeriod": "Pro toto časové období nebyly nalezeny žádné události."
|
||||
"noFoundForTimePeriod": "Pro toto období nebyly nalezeny žádné události."
|
||||
},
|
||||
"documentTitle": "Revize - Frigate",
|
||||
"camera": "Kamera",
|
||||
@@ -30,8 +26,8 @@
|
||||
"markAsReviewed": "Označit jako zkontrolované",
|
||||
"markTheseItemsAsReviewed": "Označit tyto položky jako zkontrolované",
|
||||
"newReviewItems": {
|
||||
"label": "Zobrazit nové položky revize",
|
||||
"button": "Nové položky revize"
|
||||
"label": "Zobrazit nové položky na kontrolu",
|
||||
"button": "Nové položky na kontrolu"
|
||||
},
|
||||
"recordings": {
|
||||
"documentTitle": "Záznamy - Frigate"
|
||||
@@ -46,22 +42,8 @@
|
||||
"detail": {
|
||||
"label": "Detail",
|
||||
"noDataFound": "Žádná detailní data k prohlédnutí",
|
||||
"aria": "Přepnout zobrazení detailů",
|
||||
"aria": "Přepnout detailní zobrazení",
|
||||
"trackedObject_other": "{{count}} objektů",
|
||||
"trackedObject_one": "{{count}} objekt",
|
||||
"noObjectDetailData": "Nejsou k dispozici žádné podrobné údaje o objektu.",
|
||||
"settings": "Nastavení Detailního Zobrazení",
|
||||
"alwaysExpandActive": {
|
||||
"title": "Vždy rozbalit aktivní",
|
||||
"desc": "Vždy zobrazit podrobnosti objektu aktivní položky revize, pokud jsou k dispozici."
|
||||
}
|
||||
},
|
||||
"objectTrack": {
|
||||
"trackedPoint": "Sledovaný bod",
|
||||
"clickToSeek": "Kliknutím přeskočte na tento čas"
|
||||
},
|
||||
"select_all": "Vše",
|
||||
"normalActivity": "Normální",
|
||||
"needsReview": "Potřebuje revizi",
|
||||
"securityConcern": "Obava o bezpečnost"
|
||||
"trackedObject_one": "{{count}} objektů"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -24,8 +24,7 @@
|
||||
"regenerate": "Od {{provider}} byl vyžádán nový popis. V závislosti na rychlosti vašeho poskytovatele může obnovení nového popisu nějakou dobu trvat.",
|
||||
"updatedSublabel": "Úspěšně aktualizovaný podružný štítek.",
|
||||
"updatedLPR": "Úspěšně aktualizovaná SPZ.",
|
||||
"audioTranscription": "Požádání o přepis zvuku bylo úspěšné. V závislosti na rychlosti Vašeho Frigate serveru může přepis trvat nějaký čas než bude dokončen.",
|
||||
"updatedAttributes": "Atributy byly úspěšně aktualizovány."
|
||||
"audioTranscription": "Požádání o přepis zvuku bylo úspěšné."
|
||||
},
|
||||
"error": {
|
||||
"regenerate": "Chyba volání {{provider}} pro nový popis: {{errorMessage}}",
|
||||
@@ -207,7 +206,7 @@
|
||||
"dialog": {
|
||||
"confirmDelete": {
|
||||
"title": "Potvrdit smazání",
|
||||
"desc": "Odstraněním tohoto sledovaného objektu se odstraní snímek, všechna uložená vložení a všechny související položky s podrobnostmi o sledování. Zaznamenaný záznam tohoto sledovaného objektu v zobrazení Historie <em>NEBUDE</em> smazán.<br /><br />Opravdu chcete pokračovat?"
|
||||
"desc": "Odstraněním tohoto sledovaného objektu se odstraní snímek, všechna uložená vložení a všechny související položky životního cyklu objektu. Zaznamenaný záznam tohoto sledovaného objektu v zobrazení Historie <em>NEBUDE</em> smazán.<br /><br />Opravdu chcete pokračovat?"
|
||||
}
|
||||
},
|
||||
"trackedObjectDetails": "Detaily sledovaných objektů",
|
||||
@@ -215,9 +214,7 @@
|
||||
"details": "detaily",
|
||||
"snapshot": "snímek",
|
||||
"video": "video",
|
||||
"object_lifecycle": "životní cyklus objektu",
|
||||
"thumbnail": "Náhled",
|
||||
"tracking_details": "detaily sledování"
|
||||
"object_lifecycle": "životní cyklus objektu"
|
||||
},
|
||||
"noTrackedObjects": "Žádné sledované objekty nebyly nalezeny",
|
||||
"fetchingTrackedObjectsFailed": "Chyba při načítání sledovaných objektů: {{errorMessage}}",
|
||||
@@ -227,49 +224,5 @@
|
||||
},
|
||||
"concerns": {
|
||||
"label": "Obavy"
|
||||
},
|
||||
"trackingDetails": {
|
||||
"title": "Detaily Sledování",
|
||||
"noImageFound": "Nebyl nalezen obrázek pro tuto časovou značku.",
|
||||
"createObjectMask": "Vytvořit Masku Objektu",
|
||||
"adjustAnnotationSettings": "Upravte nastavení poznámek",
|
||||
"scrollViewTips": "Klikněte pro zobrazení významných okamžiků z životního cyklu tohoto objektu.",
|
||||
"autoTrackingTips": "Pozice ohraničujících rámečků budou nepřesné pro kamery s automatickým sledováním.",
|
||||
"count": "{{first}} z {{second}}",
|
||||
"trackedPoint": "Sledovaný Bod",
|
||||
"lifecycleItemDesc": {
|
||||
"visible": "Detekován {{label}}",
|
||||
"entered_zone": "{{label}} vstoupil do {{zones}}",
|
||||
"active": "{{label}} se stal aktivním",
|
||||
"stationary": "{{label}} se zastavil",
|
||||
"attribute": {
|
||||
"faceOrLicense_plate": "Pro {{label}} zjištěn {{attribute}}"
|
||||
},
|
||||
"header": {
|
||||
"ratio": "Poměr",
|
||||
"area": "Oblast",
|
||||
"score": "Skóre"
|
||||
}
|
||||
},
|
||||
"annotationSettings": {
|
||||
"title": "Nastavení anotací",
|
||||
"showAllZones": {
|
||||
"title": "Zobrazit všechny zóny",
|
||||
"desc": "Vždy zobrazovat zóny na snímcích, na kterých objekty vstoupili do zóny."
|
||||
},
|
||||
"offset": {
|
||||
"label": "Odsazení anotace",
|
||||
"desc": "Tato data pocházejí z detekčního kanálu vaší kamery, ale překrývají se s obrázky ze záznamového kanálu. Je nepravděpodobné, že by oba streamy byly dokonale synchronizované. V důsledku toho se ohraničovací rámeček a záznam nebudou dokonale srovnávat. Toto nastavení můžete použít k časovému posunutí anotací dopředu nebo dozadu, abyste je lépe zarovnali se zaznamenaným záznamem.",
|
||||
"millisecondsToOffset": "Milisekundy na posunutí detekce anotací. <em>Výchozí: 0</em>",
|
||||
"tips": "Snižte hodnotu, pokud je přehrávané video před ohraničením a body cesty, nebo zvyšte hodnotu, pokud je přehrávané video za nimi. Hodnota může být i záporná.",
|
||||
"toast": {
|
||||
"success": "Odsazení anotací pro {{camera}} bylo uloženo do konfiguračního souboru."
|
||||
}
|
||||
}
|
||||
},
|
||||
"carousel": {
|
||||
"previous": "Předcházející snímek",
|
||||
"next": "Další snímek"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"imageEntry": {
|
||||
"dropInstructions": "Přetáhněte obrázek sem, nebo klikněte na výběr",
|
||||
"dropInstructions": "Přetáhněte obrázek zde, nebo klikněte na výběr",
|
||||
"maxSize": "Maximální velikost: {{size}}MB",
|
||||
"dropActive": "Přetáhněte obrázek zde…",
|
||||
"validation": {
|
||||
@@ -10,7 +10,7 @@
|
||||
"createFaceLibrary": {
|
||||
"new": "Vytvořit nový obličej",
|
||||
"desc": "Vytvořit novou kolekci",
|
||||
"nextSteps": "Chcete-li vybudovat pevný základ:<li>Použijte kartu Nedávná Rozpoznání k výběru a trénování na snímcích pro každou detekovanou osobu.</li><li>Pro nejlepší výsledky se zaměřte na přímé snímky; vyhněte se trénování snímků, které zachycují obličeje pod úhlem.</li></ul>",
|
||||
"nextSteps": "Chcete-li vybudovat pevný základ:<li>Použijte kartu Trénování k výběru a trénování na snímcích pro každou detekovanou osobu.</li><li>Pro nejlepší výsledky se zaměřte na přímé snímky; vyhněte se trénování snímků, které zachycují obličeje pod úhlem.</li></ul>",
|
||||
"title": "Vytvořit kolekci"
|
||||
},
|
||||
"details": {
|
||||
@@ -44,7 +44,7 @@
|
||||
"description": {
|
||||
"addFace": "Přidejte novou kolekci do Knihovny obličejů nahráním prvního obrázku.",
|
||||
"placeholder": "Zadejte název pro tuto kolekci",
|
||||
"invalidName": "Neplatné jméno. Jméno můžou obsahovat pouze písmena, čísla, mezery, apostrofy, podtržítka a spojovníky."
|
||||
"invalidName": "Neplatný název. Názvy mohou obsahovat pouze písmena, čísla, mezery, apostrofy, podtržítka a pomlčky."
|
||||
},
|
||||
"documentTitle": "Knihovna obličejů - Frigate",
|
||||
"uploadFaceImage": {
|
||||
|
||||
@@ -86,7 +86,7 @@
|
||||
"enable": "Ukázat statistiky streamu"
|
||||
},
|
||||
"manualRecording": {
|
||||
"title": "Na požádání",
|
||||
"title": "Nahrávání na vyžádání",
|
||||
"playInBackground": {
|
||||
"label": "Přehrát na pozadí",
|
||||
"desc": "Povolte tuto volbu pro pokračování streamování i když je přehrávač skrytý."
|
||||
@@ -103,7 +103,7 @@
|
||||
"started": "Manuálně spuštěno nahrávání na požádání.",
|
||||
"ended": "Ukončeno manuální nahrávání na vyžádání.",
|
||||
"recordDisabledTips": "Protože je v konfiguraci této kamery nahrávání zakázáno nebo omezeno, bude uložen pouze snímek.",
|
||||
"tips": "Stáhněte si aktuální snímek nebo spusťte ruční událost na základě nastavení uchování záznamu této kamery."
|
||||
"tips": "Spustit ruční událost na základě nastavení uchovávání záznamů této kamery."
|
||||
},
|
||||
"streamingSettings": "Nastavení Streamování",
|
||||
"audio": "Zvuk",
|
||||
@@ -167,11 +167,5 @@
|
||||
"transcription": {
|
||||
"enable": "Povolit živý přepis zvuku",
|
||||
"disable": "Zakázat živý přepis zvuku"
|
||||
},
|
||||
"snapshot": {
|
||||
"takeSnapshot": "Stáhnout aktuální snímek",
|
||||
"noVideoSource": "Pro snímek není k dispozici žádné video.",
|
||||
"captureFailed": "Zachycení snímku selhalo.",
|
||||
"downloadStarted": "Stažení snímku spuštěno."
|
||||
}
|
||||
}
|
||||
|
||||
@@ -134,7 +134,7 @@
|
||||
"name": {
|
||||
"inputPlaceHolder": "Zadejte jméno…",
|
||||
"title": "Jméno",
|
||||
"tips": "Název musí mít alespoň 2 znaky, musí obsahovat alespoň jedno písmeno a nesmí být shodný s názvem kamery nebo jiné zóny této kamery."
|
||||
"tips": "Název musí mít alespoň 2 znaky a nesmí být shodný s názvem kamery nebo jiné zóny."
|
||||
},
|
||||
"inertia": {
|
||||
"title": "Setrvačnost",
|
||||
@@ -160,7 +160,7 @@
|
||||
}
|
||||
},
|
||||
"toast": {
|
||||
"success": "Zóna {{zoneName}} byla uložena."
|
||||
"success": "Zóna {{zoneName}} byla uložena. Restartujte Frigate pro aplikování změn."
|
||||
},
|
||||
"label": "Zóny",
|
||||
"desc": {
|
||||
@@ -199,8 +199,8 @@
|
||||
"clickDrawPolygon": "Kliknutím nakreslíte polygon do obrázku.",
|
||||
"toast": {
|
||||
"success": {
|
||||
"title": "{{polygonName}} byl uložen.",
|
||||
"noName": "Maska Detekce pohybu byla uložena."
|
||||
"title": "{{polygonName}} byl uložen. Restartujte Frigate pro aplikování změn.",
|
||||
"noName": "Maska Detekce pohybu byla uložena. Restartujte Frigate pro aplikování změn."
|
||||
}
|
||||
}
|
||||
},
|
||||
@@ -284,8 +284,8 @@
|
||||
"clickDrawPolygon": "Kliknutím nakreslete polygon do obrázku.",
|
||||
"toast": {
|
||||
"success": {
|
||||
"title": "{{polygonName}} byl uložen.",
|
||||
"noName": "Maska Objektu byla uložena."
|
||||
"title": "{{polygonName}} byl uložen. Restartujte Frigate pro aplikování změn.",
|
||||
"noName": "Maska Objektu byla uložena. Restartujte Frigate pro aplikování změn."
|
||||
}
|
||||
},
|
||||
"point_one": "{{count}} bod",
|
||||
@@ -322,7 +322,7 @@
|
||||
"noCamera": "Žádná Kamera"
|
||||
},
|
||||
"general": {
|
||||
"title": "Nastavení rozhraní",
|
||||
"title": "Hlavní nastavení",
|
||||
"liveDashboard": {
|
||||
"title": "Živý dashboard",
|
||||
"automaticLiveView": {
|
||||
@@ -332,13 +332,6 @@
|
||||
"playAlertVideos": {
|
||||
"label": "Přehrát videa s výstrahou",
|
||||
"desc": "Ve výchozím nastavení se nedávná upozornění na ovládacím panelu Živě přehrávají jako malá opakující se videa. Vypněte tuto možnost, chcete-li na tomto zařízení/prohlížeči zobrazovat pouze statický obrázek nedávných výstrah."
|
||||
},
|
||||
"displayCameraNames": {
|
||||
"label": "Vždy zobrazit názvy kamer",
|
||||
"desc": "Vždy zobrazit názvy kamer v čipu na ovládacím panelu živého náhledu s více kamerami."
|
||||
},
|
||||
"liveFallbackTimeout": {
|
||||
"label": "Časový limit pádu živého přehrávání"
|
||||
}
|
||||
},
|
||||
"storedLayouts": {
|
||||
@@ -636,11 +629,11 @@
|
||||
"actions": "Akce",
|
||||
"noUsers": "Žádní uživatelé nebyli nalezeni.",
|
||||
"changeRole": "Změnit roli uživatele",
|
||||
"password": "Resetovat Heslo",
|
||||
"password": "Heslo",
|
||||
"deleteUser": "Smazat uživatele",
|
||||
"role": "Role"
|
||||
},
|
||||
"updatePassword": "Resetovat heslo",
|
||||
"updatePassword": "Aktualizovat heslo",
|
||||
"toast": {
|
||||
"success": {
|
||||
"createUser": "Uživatel {{user}} úspěšně vytvořen",
|
||||
@@ -750,7 +743,7 @@
|
||||
"triggers": {
|
||||
"documentTitle": "Spouštěče",
|
||||
"management": {
|
||||
"title": "Spouštěče",
|
||||
"title": "Správa spouštěčů",
|
||||
"desc": "Spravovat spouštěče pro {{camera}}. Použít typ miniatury ke spuštění u miniatur podobných vybranému sledovanému objektu a typ popisu ke spuštění u popisů podobných zadanému textu."
|
||||
},
|
||||
"addTrigger": "Přidat spouštěč",
|
||||
@@ -789,10 +782,10 @@
|
||||
"form": {
|
||||
"name": {
|
||||
"title": "Název",
|
||||
"placeholder": "Pojmenujte tento spouštěč",
|
||||
"placeholder": "Zadejte název spouštěče",
|
||||
"error": {
|
||||
"minLength": "Pole musí mít alespoň 2 znaky.",
|
||||
"invalidCharacters": "Pole může obsahovat pouze písmena, číslice, podtržítka a pomlčky.",
|
||||
"minLength": "Název musí mít alespoň 2 znaky.",
|
||||
"invalidCharacters": "Jméno může obsahovat pouze písmena, číslice, podtržítka a pomlčky.",
|
||||
"alreadyExists": "Spouštěč s tímto názvem již pro tuto kameru existuje."
|
||||
}
|
||||
},
|
||||
@@ -805,9 +798,9 @@
|
||||
},
|
||||
"content": {
|
||||
"title": "Obsah",
|
||||
"imagePlaceholder": "Vyberte miniaturu",
|
||||
"imagePlaceholder": "Vybrat obrázek",
|
||||
"textPlaceholder": "Zadat textový obsah",
|
||||
"imageDesc": "Je zobrazeno pouze posledních 100 miniatur. Pokud nemůžete najít požadovanou miniaturu, prosím zkontrolujte dřívější objekty v Prozkoumat a nastavte spouštěč ze tamějšího menu.",
|
||||
"imageDesc": "Vybrat obrázek, který spustí tuto akci, když bude detekován podobný obrázek.",
|
||||
"textDesc": "Zadejte text, který spustí tuto akci, když bude zjištěn podobný popis sledovaného objektu.",
|
||||
"error": {
|
||||
"required": "Obsah je povinný."
|
||||
@@ -815,7 +808,7 @@
|
||||
},
|
||||
"actions": {
|
||||
"title": "Akce",
|
||||
"desc": "Ve výchozím nastavení Frigate odesílá MQTT zprávu pro všechny spouštěče. Podřazené popisky přidávají název spouštěče k popisku objektu. Atributy jsou prohledávatelná metadata uložená samostatně v metadatech sledovaného objektu.",
|
||||
"desc": "Ve výchozím nastavení Frigate odesílá MQTT zprávu pro všechny spouštěče. Zvolte dodatečnou akci, která se má provést, když se tento spouštěč aktivuje.",
|
||||
"error": {
|
||||
"min": "Musí být vybrána alespoň jedna akce."
|
||||
}
|
||||
@@ -857,9 +850,9 @@
|
||||
"createRole": "Role {{role}} byla úspěšně vytvořena",
|
||||
"updateCameras": "Kamery byly aktualizovány pro roli {{role}}",
|
||||
"deleteRole": "Role {{role}} byla úspěšně smazána",
|
||||
"userRolesUpdated_one": "{{count}} uživatel přiřazený k této roli byl aktualizován na „diváka“, který má přístup ke všem kamerám.",
|
||||
"userRolesUpdated_few": "{{count}} uživatelé přiřazení k této roli bylo aktualizováno na „diváky“, kteří mají přístup ke všem kamerám.",
|
||||
"userRolesUpdated_other": "{{count}} uživatelů přiřazených k této roli bylo aktualizováno na „diváky“, kteří mají přístup ke všem kamerám."
|
||||
"userRolesUpdated_one": "{{count}} uživatel(ů) přiřazených k této roli bylo aktualizováno na „Divák“, který má přístup ke všem kamerám.",
|
||||
"userRolesUpdated_few": "",
|
||||
"userRolesUpdated_other": ""
|
||||
},
|
||||
"error": {
|
||||
"createRoleFailed": "Nepodařilo se vytvořit roli: {{errorMessage}}",
|
||||
@@ -903,36 +896,5 @@
|
||||
"title": "Správa role diváka",
|
||||
"desc": "Spravujte vlastní role diváků a jejich oprávnění k přístupu ke kamerám pro tuto instanci Frigate."
|
||||
}
|
||||
},
|
||||
"cameraWizard": {
|
||||
"save": {
|
||||
"success": "Nová kamera {{cameraName}} úspěšně uložena."
|
||||
},
|
||||
"step2": {
|
||||
"testSuccess": "Test připojení v pořádku!",
|
||||
"probeSuccessful": "Sonda úspěšná",
|
||||
"probeNoSuccess": "Sonda neúspěšná"
|
||||
},
|
||||
"step3": {
|
||||
"testSuccess": "Test streamu v pořádku!"
|
||||
},
|
||||
"step4": {
|
||||
"reconnectionSuccess": "Opakované připojení úspěšné.",
|
||||
"streamValidated": "Stream {{number}} úspěšně ověřený"
|
||||
}
|
||||
},
|
||||
"cameraManagement": {
|
||||
"cameraConfig": {
|
||||
"toast": {
|
||||
"success": "Kamera {{cameraName}} úspěšně uložena"
|
||||
}
|
||||
}
|
||||
},
|
||||
"cameraReview": {
|
||||
"reviewClassification": {
|
||||
"toast": {
|
||||
"success": "Konfigurace Klasifikací Revizí byla uložena. Restartujte Frigate pro aplikování změn."
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -112,23 +112,12 @@
|
||||
"gpuUsage": "Využití CPU",
|
||||
"gpuMemory": "Paměť GPU",
|
||||
"gpuEncoder": "GPU kodér",
|
||||
"gpuDecoder": "GPU Dekodér",
|
||||
"intelGpuWarning": {
|
||||
"title": "Upozornění Intel GPU Stats",
|
||||
"message": "Statistiky GPU nedostupné",
|
||||
"description": "Toto je známá chyba v nástrojích Intel pro hlášení statistik GPU (intel_gpu_top), která selhává a opakovaně vrací využití GPU 0 %, a to i v případech, kdy na (i)GPU správně běží hardwarová akcelerace a detekce objektů. Nejedná se o chybu Frigate. Můžete restartovat hostitele, abyste problém dočasně vyřešili a potvrdili, že GPU funguje správně. Toto neovlivňuje výkon."
|
||||
}
|
||||
"gpuDecoder": "GPU Dekodér"
|
||||
},
|
||||
"otherProcesses": {
|
||||
"title": "Ostatní procesy",
|
||||
"processCpuUsage": "Využití CPU procesy",
|
||||
"processMemoryUsage": "Využití paměti procesy",
|
||||
"series": {
|
||||
"go2rtc": "go2rtc",
|
||||
"recording": "nahrávání",
|
||||
"review_segment": "revidovat segment",
|
||||
"embeddings": "vložení"
|
||||
}
|
||||
"processMemoryUsage": "Využití paměti procesy"
|
||||
},
|
||||
"title": "Hlavní"
|
||||
},
|
||||
|
||||
@@ -27,7 +27,7 @@
|
||||
"harp": "Harpe",
|
||||
"bell": "Klokke",
|
||||
"harmonica": "Harmonika",
|
||||
"bagpipes": "Sækkepiber",
|
||||
"bagpipes": "Sækkepibe",
|
||||
"didgeridoo": "Didgeridoo",
|
||||
"jazz": "Jazz",
|
||||
"opera": "Opera",
|
||||
@@ -78,122 +78,11 @@
|
||||
"camera": "Kamera",
|
||||
"tools": "Værktøj",
|
||||
"hammer": "Hammer",
|
||||
"drill": "Boremaskine",
|
||||
"drill": "Bore",
|
||||
"explosion": "Eksplosion",
|
||||
"fireworks": "Nytårskrudt",
|
||||
"babbling": "Pludren",
|
||||
"yell": "Råb",
|
||||
"whoop": "Jubel",
|
||||
"snicker": "Smålatter",
|
||||
"bird": "Fugl",
|
||||
"cat": "Kat",
|
||||
"dog": "Hund",
|
||||
"horse": "Hest",
|
||||
"sheep": "Får",
|
||||
"mouse": "Mus",
|
||||
"keyboard": "Tastatur",
|
||||
"blender": "Mixer",
|
||||
"hair_dryer": "Føntørrer",
|
||||
"animal": "Dyr",
|
||||
"bark": "Gø",
|
||||
"goat": "Gæd",
|
||||
"sigh": "Suk",
|
||||
"singing": "Synger",
|
||||
"choir": "Kor",
|
||||
"yodeling": "Jodlen",
|
||||
"chant": "Messe",
|
||||
"mantra": "Meditationsmantra",
|
||||
"child_singing": "Barn Synger",
|
||||
"synthetic_singing": "Syntetisk Sang",
|
||||
"rapping": "Rapper",
|
||||
"humming": "Nynner",
|
||||
"groan": "Støn",
|
||||
"grunt": "Grynt",
|
||||
"whistling": "Fløjter",
|
||||
"breathing": "Vejrtrækning",
|
||||
"wheeze": "Hæsende vejrtrækning",
|
||||
"snoring": "Snorker",
|
||||
"gasp": "Gisp",
|
||||
"pant": "Anstrengende vejrtrækning",
|
||||
"snort": "Fnyse",
|
||||
"cough": "Hoster",
|
||||
"throat_clearing": "Rømmer sig",
|
||||
"sneeze": "Nyser",
|
||||
"sniff": "Snøfter",
|
||||
"run": "Løb",
|
||||
"shuffle": "Trække fødderne",
|
||||
"footsteps": "Fodtrin",
|
||||
"chewing": "Tygger",
|
||||
"biting": "Bider",
|
||||
"gargling": "Gurgler",
|
||||
"stomach_rumble": "Maverumlen",
|
||||
"burping": "Bøvser",
|
||||
"hiccup": "Hikke",
|
||||
"fart": "Prut",
|
||||
"hands": "Hænder",
|
||||
"finger_snapping": "Knipse fingere",
|
||||
"clapping": "Klapper",
|
||||
"heartbeat": "Hjertebanken",
|
||||
"heart_murmur": "Hjertemislyd",
|
||||
"cheering": "Hujen",
|
||||
"applause": "Bifald",
|
||||
"chatter": "Snak",
|
||||
"crowd": "Forsamling",
|
||||
"children_playing": "Børn leger",
|
||||
"pets": "Kæledyr",
|
||||
"yip": "Jubel",
|
||||
"howl": "Hyl",
|
||||
"bow_wow": "Vov vov",
|
||||
"growling": "Knurren",
|
||||
"whimper_dog": "Hundeklynk",
|
||||
"purr": "Spinde",
|
||||
"meow": "Meaw",
|
||||
"hiss": "Hvæser",
|
||||
"caterwaul": "Kattejammer",
|
||||
"livestock": "Husdyr",
|
||||
"oink": "Nøf",
|
||||
"bleat": "Brægen",
|
||||
"vibration": "Vibration",
|
||||
"fowl": "Fjerkræ",
|
||||
"chicken": "Kylling",
|
||||
"cluck": "Kagle",
|
||||
"cock_a_doodle_doo": "Kykeliky",
|
||||
"turkey": "Kalkun",
|
||||
"gobble": "Kalkunlyd",
|
||||
"duck": "And",
|
||||
"quack": "Rap",
|
||||
"goose": "Gås",
|
||||
"honk": "Dyt",
|
||||
"wild_animals": "Vilde dyr",
|
||||
"roaring_cats": "Brølende katte",
|
||||
"roar": "Brøl",
|
||||
"chirp": "Pip",
|
||||
"squawk": "Skræppen",
|
||||
"pigeon": "Due",
|
||||
"coo": "Kurre",
|
||||
"crow": "Krage",
|
||||
"caw": "Kragelyd",
|
||||
"owl": "Ugle",
|
||||
"hoot": "Uglehyl",
|
||||
"flapping_wings": "Vingeslag",
|
||||
"dogs": "Hunde",
|
||||
"rats": "Rotter",
|
||||
"patter": "Dråbelyd",
|
||||
"insect": "Insekt",
|
||||
"cricket": "Cricket",
|
||||
"guitar": "Guitar",
|
||||
"electric_guitar": "Elektrisk Guitar",
|
||||
"bass_guitar": "Basguitar",
|
||||
"acoustic_guitar": "Akustisk Guitar",
|
||||
"steel_guitar": "Stål Guitar",
|
||||
"tapping": "Tapping på guitar",
|
||||
"strum": "Slå an",
|
||||
"banjo": "Banjo",
|
||||
"sitar": "Sitar",
|
||||
"mandolin": "Mandolin",
|
||||
"snare_drum": "Lilletromme",
|
||||
"rimshot": "Kantslag",
|
||||
"drum_roll": "Trommehvirvel",
|
||||
"bass_drum": "Stortromme",
|
||||
"techno": "Techno"
|
||||
"snicker": "Smålatter"
|
||||
}
|
||||
|
||||
@@ -24,13 +24,13 @@
|
||||
"am": "am",
|
||||
"year_one": "{{time}} år",
|
||||
"year_other": "{{time}} år",
|
||||
"mo": "{{time}}må",
|
||||
"mo": "{{time}}mo",
|
||||
"month_one": "{{time}} måned",
|
||||
"month_other": "{{time}} måneder",
|
||||
"d": "{{time}}d",
|
||||
"day_one": "{{time}} dag",
|
||||
"day_other": "{{time}} dage",
|
||||
"h": "{{time}}t",
|
||||
"h": "{{time}}h",
|
||||
"yr": "{{time}}yr",
|
||||
"hour_one": "{{time}} time",
|
||||
"hour_other": "{{time}} timer",
|
||||
@@ -41,11 +41,11 @@
|
||||
"second_one": "{{time}} sekund",
|
||||
"second_other": "{{time}} sekunder",
|
||||
"formattedTimestamp": {
|
||||
"12hour": "d MMM, h:mm:ss aaa",
|
||||
"24hour": "d. MMM, HH:mm:ss"
|
||||
"12hour": "MMM d, h:mm:ss aaa",
|
||||
"24hour": "MMM d, HH:mm:ss"
|
||||
},
|
||||
"formattedTimestamp2": {
|
||||
"12hour": "dd/MM h:mm:ss",
|
||||
"12hour": "MM/dd h:mm:ssa",
|
||||
"24hour": "d MMM HH:mm:ss"
|
||||
},
|
||||
"formattedTimestampHourMinute": {
|
||||
@@ -57,26 +57,22 @@
|
||||
"24hour": "HH:mm:ss"
|
||||
},
|
||||
"formattedTimestampMonthDayHourMinute": {
|
||||
"12hour": "d MMM, h:mm aaa",
|
||||
"24hour": "d MMM, HH:mm"
|
||||
"12hour": "MMM d, h:mm aaa",
|
||||
"24hour": "MMM d, HH:mm"
|
||||
},
|
||||
"formattedTimestampMonthDayYear": {
|
||||
"12hour": "d MMM, yyyy",
|
||||
"24hour": "d MMM, yyyy"
|
||||
"12hour": "MMM d, yyyy",
|
||||
"24hour": "MMM d, yyyy"
|
||||
},
|
||||
"formattedTimestampMonthDayYearHourMinute": {
|
||||
"12hour": "d MMM yyyy, h:mm aaa",
|
||||
"24hour": "d MMM yyyy, HH:mm"
|
||||
"12hour": "MMM d yyyy, h:mm aaa",
|
||||
"24hour": "MMM d yyyy, HH:mm"
|
||||
},
|
||||
"formattedTimestampMonthDay": "d MMM",
|
||||
"formattedTimestampMonthDay": "MMM d",
|
||||
"formattedTimestampFilename": {
|
||||
"12hour": "dd-MM-yy-h-mm-ss-a",
|
||||
"24hour": "dd-MM-yy-HH-mm-ss"
|
||||
},
|
||||
"never": "Aldrig",
|
||||
"inProgress": "Under behandling",
|
||||
"invalidStartTime": "Ugyldig starttid",
|
||||
"invalidEndTime": "Ugyldig sluttid"
|
||||
"12hour": "MM-dd-yy-h-mm-ss-a",
|
||||
"24hour": "MM-dd-yy-HH-mm-ss"
|
||||
}
|
||||
},
|
||||
"unit": {
|
||||
"speed": {
|
||||
@@ -86,28 +82,14 @@
|
||||
"length": {
|
||||
"feet": "fod",
|
||||
"meters": "meter"
|
||||
},
|
||||
"data": {
|
||||
"kbps": "kB/s",
|
||||
"mbps": "MB/s",
|
||||
"gbps": "GB/s",
|
||||
"kbph": "kB/time",
|
||||
"mbph": "MB/time",
|
||||
"gbph": "GB/time"
|
||||
}
|
||||
},
|
||||
"label": {
|
||||
"back": "Gå tilbage",
|
||||
"hide": "Skjul {{item}}",
|
||||
"show": "Vis {{item}}",
|
||||
"ID": "ID",
|
||||
"none": "Ingen",
|
||||
"all": "Alle",
|
||||
"other": "Andet"
|
||||
"back": "Gå tilbage"
|
||||
},
|
||||
"button": {
|
||||
"apply": "Anvend",
|
||||
"reset": "Nulstil",
|
||||
"reset": "Reset",
|
||||
"done": "Udført",
|
||||
"enabled": "Aktiveret",
|
||||
"enable": "Aktiver",
|
||||
@@ -134,22 +116,21 @@
|
||||
"no": "Nej",
|
||||
"download": "Download",
|
||||
"info": "Info",
|
||||
"suspended": "Sat på pause",
|
||||
"unsuspended": "Genoptag",
|
||||
"suspended": "Suspenderet",
|
||||
"unsuspended": "Ophæv suspendering",
|
||||
"play": "Afspil",
|
||||
"unselect": "Fravælg",
|
||||
"export": "Eksporter",
|
||||
"deleteNow": "Slet nu",
|
||||
"next": "Næste",
|
||||
"continue": "Fortsæt"
|
||||
"next": "Næste"
|
||||
},
|
||||
"menu": {
|
||||
"system": "System",
|
||||
"systemMetrics": "Systemstatistik",
|
||||
"systemMetrics": "System metrics",
|
||||
"configuration": "Konfiguration",
|
||||
"systemLogs": "Systemlogfiler",
|
||||
"systemLogs": "System logs",
|
||||
"settings": "Indstillinger",
|
||||
"configurationEditor": "Konfigurationsværktøj",
|
||||
"configurationEditor": "Konfiguratons Editor",
|
||||
"languages": "Sprog",
|
||||
"language": {
|
||||
"en": "English (Engelsk)",
|
||||
@@ -184,17 +165,8 @@
|
||||
"th": "ไทย (Thai)",
|
||||
"ca": "Català (Katalansk)",
|
||||
"withSystem": {
|
||||
"label": "Brug systemindstillinger for sprog"
|
||||
},
|
||||
"ptBR": "Português brasileiro (Brasiliansk Portugisisk)",
|
||||
"sr": "Српски (Serbisk)",
|
||||
"sl": "Slovenščina (Slovensk)",
|
||||
"lt": "Lietuvių (Litauisk)",
|
||||
"bg": "Български (Bulgarsk)",
|
||||
"gl": "Galego (Galisisk)",
|
||||
"id": "Bahasa Indonesia (Indonesisk)",
|
||||
"ur": "اردو (Urdu)",
|
||||
"hr": "Hrvatski (Kroatisk)"
|
||||
"label": "Brug system indstillinger for sprog"
|
||||
}
|
||||
},
|
||||
"appearance": "Udseende",
|
||||
"darkMode": {
|
||||
@@ -213,7 +185,7 @@
|
||||
"nord": "Nord",
|
||||
"red": "Rød",
|
||||
"highcontrast": "Høj Kontrast",
|
||||
"default": "Standard"
|
||||
"default": "Default"
|
||||
},
|
||||
"help": "Hjælp",
|
||||
"documentation": {
|
||||
@@ -222,7 +194,7 @@
|
||||
},
|
||||
"restart": "Genstart Frigate",
|
||||
"live": {
|
||||
"title": "Direkte",
|
||||
"title": "Live",
|
||||
"allCameras": "Alle kameraer",
|
||||
"cameras": {
|
||||
"title": "Kameraer",
|
||||
@@ -230,28 +202,27 @@
|
||||
"count_other": "{{count}} Kameraer"
|
||||
}
|
||||
},
|
||||
"review": "Gennemse",
|
||||
"review": "Review",
|
||||
"explore": "Udforsk",
|
||||
"export": "Eksporter",
|
||||
"uiPlayground": "UI sandkasse",
|
||||
"faceLibrary": "Ansigtsarkiv",
|
||||
"faceLibrary": "Face Library",
|
||||
"user": {
|
||||
"title": "Bruger",
|
||||
"account": "Konto",
|
||||
"current": "Aktiv bruger: {{user}}",
|
||||
"anonymous": "anonym",
|
||||
"logout": "Log ud",
|
||||
"setPassword": "Vælg kodeord"
|
||||
},
|
||||
"classification": "Kategorisering"
|
||||
"logout": "Logout",
|
||||
"setPassword": "Set Password"
|
||||
}
|
||||
},
|
||||
"toast": {
|
||||
"copyUrlToClipboard": "Kopieret URL til udklipsholder.",
|
||||
"copyUrlToClipboard": "Kopieret URL til klippebord.",
|
||||
"save": {
|
||||
"title": "Gem",
|
||||
"error": {
|
||||
"title": "Ændringer kunne ikke gemmes: {{errorMessage}}",
|
||||
"noMessage": "Kunne ikke gemme konfigurationsændringer"
|
||||
"title": "Ændringer kan ikke gemmes: {{errorMessage}}",
|
||||
"noMessage": "Kan ikke gemme konfigurationsændringer"
|
||||
}
|
||||
}
|
||||
},
|
||||
@@ -262,7 +233,7 @@
|
||||
"desc": "Admins har fuld adgang til Frigate UI. Viewers er begrænset til at se kameraer, gennemse items, og historik i UI."
|
||||
},
|
||||
"pagination": {
|
||||
"label": "sideinddeling",
|
||||
"label": "paginering",
|
||||
"previous": {
|
||||
"title": "Forrige",
|
||||
"label": "Gå til forrige side"
|
||||
@@ -274,27 +245,15 @@
|
||||
"more": "Flere sider"
|
||||
},
|
||||
"accessDenied": {
|
||||
"documentTitle": "Adgang nægtet - Frigate",
|
||||
"title": "Adgang nægtet",
|
||||
"desc": "Du har ikke rettigheder til at se denne side."
|
||||
"documentTitle": "Adgang forbudt - Frigate",
|
||||
"title": "Adgang forbudt",
|
||||
"desc": "Du har ikke tiiladelse til at se denne side."
|
||||
},
|
||||
"notFound": {
|
||||
"documentTitle": "Ikke fundet - Frigate",
|
||||
"title": "404",
|
||||
"desc": "Siden blev ikke fundet"
|
||||
"desc": "Side ikke fundet"
|
||||
},
|
||||
"selectItem": "Vælg {{item}}",
|
||||
"readTheDocumentation": "Læs dokumentationen",
|
||||
"list": {
|
||||
"two": "{{0}} og {{1}}",
|
||||
"many": "{{items}}, og {{last}}",
|
||||
"separatorWithSpace": ", "
|
||||
},
|
||||
"field": {
|
||||
"optional": "Valgfrit",
|
||||
"internalID": "Det interne ID som Frigate bruger i konfigurationen og databasen"
|
||||
},
|
||||
"information": {
|
||||
"pixels": "{{area}}px"
|
||||
}
|
||||
"readTheDocumentation": "Læs dokumentationen"
|
||||
}
|
||||
|
||||
@@ -8,8 +8,7 @@
|
||||
"passwordRequired": "Kodeord kræves",
|
||||
"loginFailed": "Login fejlede",
|
||||
"unknownError": "Ukendt fejl. Tjek logs.",
|
||||
"rateLimit": "Grænsen for forespørgsler er overskredet. Prøv igen senere.",
|
||||
"webUnknownError": "Ukendt fejl. Tjek konsollogs."
|
||||
"rateLimit": "Grænsen for forespørgsler er overskredet. Prøv igen senere."
|
||||
},
|
||||
"firstTimeLogin": "Forsøger du at logge ind for første gang? Loginoplysningerne står i Frigate-loggene."
|
||||
}
|
||||
|
||||
@@ -14,73 +14,8 @@
|
||||
"label": "Navn",
|
||||
"placeholder": "Indtast et navn…",
|
||||
"errorMessage": {
|
||||
"mustLeastCharacters": "Kameragruppens navn skal være mindst 2 tegn.",
|
||||
"exists": "Kameragruppenavn findes allerede.",
|
||||
"nameMustNotPeriod": "Kameragruppenavn må ikke indeholde en periode.",
|
||||
"invalid": "Ugyldigt kamera gruppenavn."
|
||||
}
|
||||
},
|
||||
"cameras": {
|
||||
"label": "Kameraer",
|
||||
"desc": "Vælg kameraer til denne gruppe."
|
||||
},
|
||||
"icon": "Ikon",
|
||||
"success": "Kameragruppe ({{name}}) er blevet gemt.",
|
||||
"camera": {
|
||||
"birdseye": "Fugleøje",
|
||||
"setting": {
|
||||
"label": "Kamera Streaming Indstillinger",
|
||||
"title": "{{cameraName}} Streaming Indstillinger",
|
||||
"desc": "Skift de live streaming muligheder for denne kameragruppes dashboard. <em> Disse indstillinger er enheds- og browserspecifikke.</em>",
|
||||
"audioIsAvailable": "Lyd er tilgængelig for denne stream",
|
||||
"audioIsUnavailable": "Lyd er ikke tilgængelig for denne strøm",
|
||||
"audio": {
|
||||
"tips": {
|
||||
"title": "Lyd skal komme fra dit kamera og konfigureret i go2rtc til denne stream."
|
||||
}
|
||||
},
|
||||
"stream": "Stream",
|
||||
"placeholder": "Vælg en stream",
|
||||
"streamMethod": {
|
||||
"label": "Streaming Metode",
|
||||
"placeholder": "Vælg en streaming metode",
|
||||
"method": {
|
||||
"noStreaming": {
|
||||
"label": "Ingen Streaming",
|
||||
"desc": "Kamerabilleder vil kun opdatere én gang i minuttet og ingen live streaming vil forekomme."
|
||||
},
|
||||
"smartStreaming": {
|
||||
"label": "Smart Streaming (anbefalet)",
|
||||
"desc": "Smart streaming vil opdatere dit kamerabillede én gang i minuttet, når der ikke sker noget, for at spare båndbredde og ressourcer. Når der registreres aktivitet, skifter billedet problemfrit til en live stream."
|
||||
},
|
||||
"continuousStreaming": {
|
||||
"label": "Kontinuerlig Streaming",
|
||||
"desc": {
|
||||
"title": "Kamerabillede vil altid være en live stream, når det er synligt på instrumentbrættet, selv om der ikke registreres nogen aktivitet.",
|
||||
"warning": "Kontinuerlig streaming kan forårsage højt båndbreddeforbrug og ydelsesproblemer. Brug med omtanke."
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"compatibilityMode": {
|
||||
"label": "Kompatibilitetstilstand",
|
||||
"desc": "Aktivér kun denne mulighed, hvis kameraets live stream viser farve artefakter og har en diagonal linje på højre side af billedet."
|
||||
}
|
||||
"mustLeastCharacters": "Kameragruppens navn skal være mindst 2 tegn."
|
||||
}
|
||||
}
|
||||
},
|
||||
"debug": {
|
||||
"options": {
|
||||
"label": "Indstillinger",
|
||||
"title": "Valgmuligheder",
|
||||
"showOptions": "Vis muligheder",
|
||||
"hideOptions": "Skjul muligheder"
|
||||
},
|
||||
"boundingBox": "Afgrænsningsfelt",
|
||||
"timestamp": "Tidsstempel",
|
||||
"zones": "Zoner",
|
||||
"mask": "Maske",
|
||||
"motion": "Bevægelse",
|
||||
"regions": "Regioner"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -6,8 +6,7 @@
|
||||
"title": "Frigate genstarter",
|
||||
"button": "Gennemtving genindlæsning nu",
|
||||
"content": "Denne side genindlæses om {{countdown}} sekunder."
|
||||
},
|
||||
"description": "Dette vil kortvarigt stoppe Frigate under genstart."
|
||||
}
|
||||
},
|
||||
"explore": {
|
||||
"plus": {
|
||||
@@ -18,9 +17,7 @@
|
||||
"review": {
|
||||
"question": {
|
||||
"label": "Bekræft denne etiket til Frigate Plus",
|
||||
"ask_a": "Er dette objekt et <code>{{label}}</code>?",
|
||||
"ask_an": "Er dette objekt en <code>{{label}}</code>?",
|
||||
"ask_full": "Er dette objekt en <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
|
||||
"ask_a": "Er dette objekt et <code>{{label}}</code>?"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"filter": "Filtrer",
|
||||
"filter": "Filter",
|
||||
"classes": {
|
||||
"label": "Klasser",
|
||||
"all": {
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
"iconPicker": {
|
||||
"selectIcon": "Vælg et ikon",
|
||||
"search": {
|
||||
"placeholder": "Søg efter et ikon…"
|
||||
"placeholder": "Søg efter ikoner…"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -4,48 +4,12 @@
|
||||
"cameraDisabled": "Kamera er deaktiveret",
|
||||
"noPreviewFoundFor": "Ingen forhåndsvisning fundet for {{cameraName}}",
|
||||
"submitFrigatePlus": {
|
||||
"title": "Indsend dette billede til Frigate+?",
|
||||
"title": "Indsend denne frame til Frigate+?",
|
||||
"submit": "Indsend"
|
||||
},
|
||||
"livePlayerRequiredIOSVersion": "iOS 17.1 eller nyere kræves for denne type livestream.",
|
||||
"streamOffline": {
|
||||
"title": "Stream offline",
|
||||
"desc": "Der er ikke modtaget nogen billeder på {{cameraName}}-<code>detect</code>-streamen, tjek fejllogs."
|
||||
},
|
||||
"stats": {
|
||||
"streamType": {
|
||||
"title": "Stream type:",
|
||||
"short": "Type"
|
||||
},
|
||||
"bandwidth": {
|
||||
"title": "Båndbredde:",
|
||||
"short": "Båndbredde"
|
||||
},
|
||||
"latency": {
|
||||
"title": "Latenstid:",
|
||||
"value": "{{seconds}} sekunder",
|
||||
"short": {
|
||||
"title": "Latenstid",
|
||||
"value": "{{seconds}} sek"
|
||||
}
|
||||
},
|
||||
"droppedFrames": {
|
||||
"short": {
|
||||
"title": "Tabt",
|
||||
"value": "{{droppedFrames}} billeder"
|
||||
},
|
||||
"title": "Tabte billeder:"
|
||||
},
|
||||
"totalFrames": "Antal billeder i alt:",
|
||||
"decodedFrames": "Dekodede billeder:",
|
||||
"droppedFrameRate": "Rate for tabte billeder:"
|
||||
},
|
||||
"toast": {
|
||||
"success": {
|
||||
"submittedFrigatePlus": "Billede sendt til Frigate+"
|
||||
},
|
||||
"error": {
|
||||
"submitFrigatePlusFailed": "Kunne ikke sende billede til Frigate+"
|
||||
}
|
||||
"desc": "Der er ikke modtaget nogen frames på {{cameraName}}-<code>detect</code>-streamen, tjek fejlloggene."
|
||||
}
|
||||
}
|
||||
|
||||
@@ -14,107 +14,5 @@
|
||||
"sink": "Håndvask",
|
||||
"toothbrush": "Tandbørste",
|
||||
"scissors": "Saks",
|
||||
"clock": "Ur",
|
||||
"fire_hydrant": "Brandhane",
|
||||
"street_sign": "Gadeskilt",
|
||||
"stop_sign": "Stopskilt",
|
||||
"parking_meter": "Parkeringsautomat",
|
||||
"bench": "Bænk",
|
||||
"bird": "Fugl",
|
||||
"cat": "Kat",
|
||||
"dog": "Hund",
|
||||
"horse": "Hest",
|
||||
"sheep": "Får",
|
||||
"cow": "Ko",
|
||||
"elephant": "Elefant",
|
||||
"bear": "Bjørn",
|
||||
"zebra": "Zebra",
|
||||
"giraffe": "Giraf",
|
||||
"hat": "Hat",
|
||||
"backpack": "Rygsæk",
|
||||
"umbrella": "Paraply",
|
||||
"shoe": "Sko",
|
||||
"eye_glasses": "Briller",
|
||||
"handbag": "Håndtaske",
|
||||
"tie": "Slips",
|
||||
"suitcase": "Kuffert",
|
||||
"frisbee": "Frisbee",
|
||||
"skis": "Ski",
|
||||
"snowboard": "Snowboard",
|
||||
"sports_ball": "Bold",
|
||||
"kite": "Drage",
|
||||
"baseball_bat": "Baseball Bat",
|
||||
"baseball_glove": "Baseball hanske",
|
||||
"surfboard": "Surfbræt",
|
||||
"tennis_racket": "Tennis ketcher",
|
||||
"bottle": "Flaske",
|
||||
"plate": "Tallerken",
|
||||
"wine_glass": "Vinglas",
|
||||
"cup": "Kop",
|
||||
"fork": "Gaffel",
|
||||
"knife": "Kniv",
|
||||
"spoon": "Ske",
|
||||
"bowl": "Skål",
|
||||
"banana": "Banan",
|
||||
"apple": "Æble",
|
||||
"sandwich": "Sandwich",
|
||||
"orange": "Appelsin",
|
||||
"broccoli": "Broccoli",
|
||||
"carrot": "Gulerod",
|
||||
"hot_dog": "Hotdog",
|
||||
"pizza": "Pizza",
|
||||
"donut": "Donut",
|
||||
"cake": "Kage",
|
||||
"chair": "Stol",
|
||||
"couch": "Sofa",
|
||||
"potted_plant": "Potteplante",
|
||||
"bed": "Seng",
|
||||
"mirror": "Spejl",
|
||||
"dining_table": "Spisebord",
|
||||
"window": "Vindue",
|
||||
"desk": "Bord",
|
||||
"toilet": "Toilet",
|
||||
"tv": "Fjernsyn",
|
||||
"laptop": "Bærebar computer",
|
||||
"mouse": "Mus",
|
||||
"remote": "Fjernbetjening",
|
||||
"keyboard": "Tastatur",
|
||||
"cell_phone": "Mobiltelefon",
|
||||
"microwave": "Mikrobølgeovn",
|
||||
"oven": "Ovn",
|
||||
"toaster": "Brødrister",
|
||||
"refrigerator": "Køleskab",
|
||||
"blender": "Mixer",
|
||||
"book": "Bog",
|
||||
"vase": "Vase",
|
||||
"teddy_bear": "Bamse",
|
||||
"hair_dryer": "Føntørrer",
|
||||
"hair_brush": "Hårbørste",
|
||||
"squirrel": "Egern",
|
||||
"deer": "Hjort",
|
||||
"animal": "Dyr",
|
||||
"bark": "Gø",
|
||||
"fox": "Ræv",
|
||||
"goat": "Gæd",
|
||||
"rabbit": "Kanin",
|
||||
"raccoon": "Vaskebjørn",
|
||||
"robot_lawnmower": "Robotplæneklipper",
|
||||
"waste_bin": "Affaldsspand",
|
||||
"on_demand": "Manuel optagelse",
|
||||
"face": "Ansigt",
|
||||
"license_plate": "Nummerplade",
|
||||
"package": "Pakke",
|
||||
"bbq_grill": "Grill",
|
||||
"amazon": "Amazon levering",
|
||||
"usps": "USPS levering",
|
||||
"ups": "UPS levering",
|
||||
"fedex": "FedEx levering",
|
||||
"dhl": "DHL levering",
|
||||
"an_post": "An Post levering",
|
||||
"purolator": "Purolator levering",
|
||||
"postnl": "PostNL levering",
|
||||
"nzpost": "NZPost levering",
|
||||
"postnord": "PostNord levering",
|
||||
"gls": "GLS levering",
|
||||
"dpd": "DPD levering"
|
||||
"clock": "Ur"
|
||||
}
|
||||
|
||||
@@ -1,187 +1,18 @@
|
||||
{
|
||||
"documentTitle": "Kategoriseringsmodeller - Frigate",
|
||||
"documentTitle": "Klassifikationsmodeller",
|
||||
"details": {
|
||||
"scoreInfo": "Scoren viser den gennemsnitlige sikkerhed for kategoriseringen på tværs af alle registreringer af dette objekt.",
|
||||
"unknown": "Ukendt",
|
||||
"none": "Ingen"
|
||||
"scoreInfo": "Scoren repræsenterer den gennemsnitlige klassifikationssikkerhed på tværs af alle registreringer af dette objekt.",
|
||||
"unknown": "Ukendt"
|
||||
},
|
||||
"description": {
|
||||
"invalidName": "Ugyldigt navn. Navne må kun indeholde bogstaver, tal, mellemrum, apostroffer, understregninger og bindestreger."
|
||||
},
|
||||
"button": {
|
||||
"deleteClassificationAttempts": "Slet kategoriseringsbilleder",
|
||||
"deleteClassificationAttempts": "Slet klassifikationsbilleder",
|
||||
"renameCategory": "Omdøb klasse",
|
||||
"deleteCategory": "Slet klasse",
|
||||
"deleteImages": "Slet billeder",
|
||||
"trainModel": "Træn model",
|
||||
"addClassification": "Tilføj Kategori",
|
||||
"deleteModels": "Slet modeller",
|
||||
"editModel": "Rediger model"
|
||||
},
|
||||
"tooltip": {
|
||||
"trainingInProgress": "Modellen er ved at blive trænet",
|
||||
"noNewImages": "Der er ingen nye billeder at lære af. Kategorisér flere billeder i datasættet først.",
|
||||
"noChanges": "Ingen ændringer i datasættet siden sidste træning.",
|
||||
"modelNotReady": "Modellen er ikke klar til træning"
|
||||
},
|
||||
"toast": {
|
||||
"success": {
|
||||
"deletedCategory": "Slettet kategori",
|
||||
"deletedImage": "Slettede billeder",
|
||||
"deletedModel_one": "{{count}} model er nu slettet",
|
||||
"deletedModel_other": "{{count}} modeller er nu slettet",
|
||||
"categorizedImage": "Billedet er nu kategoriseret",
|
||||
"trainedModel": "Modellen er klar.",
|
||||
"trainingModel": "Modeltræning er started.",
|
||||
"updatedModel": "Modellens indstillinger er opdateret",
|
||||
"renamedCategory": "Kategorien er omdøbt til {{name}}"
|
||||
},
|
||||
"error": {
|
||||
"deleteImageFailed": "Fejl under sletning: {{errorMessage}}",
|
||||
"deleteCategoryFailed": "Sletning af kategori fejlede: {{errorMessage}}",
|
||||
"deleteModelFailed": "Sletning af model fejlede: {{errorMessage}}",
|
||||
"categorizeFailed": "Kategorisering af billedet fejlede: {{errorMessage}}",
|
||||
"trainingFailed": "Træning af modellen fejlede. Check Frigate loggen.",
|
||||
"trainingFailedToStart": "Opstart af modeltræning fejlede: {{errorMessage}}",
|
||||
"updateModelFailed": "Ændring af modellen fejlede: {{errorMessage}}",
|
||||
"renameCategoryFailed": "Kan ikke omdøbe kategorien: {{errorMessage}}"
|
||||
}
|
||||
},
|
||||
"deleteCategory": {
|
||||
"title": "Slet kategori",
|
||||
"desc": "Er du sikker på at du vil slette kategorien {{name}}? Dette kan ikke fortrydes og sletter alle tilhørende billeder samt træning af modellen.",
|
||||
"minClassesTitle": "Kan ikke slette Kategori",
|
||||
"minClassesDesc": "Modellen skal have mindst 2 kategorier. Tilføj en kategori, før du sletter denne."
|
||||
},
|
||||
"deleteModel": {
|
||||
"title": "Slet Kategoriseringsmodellen",
|
||||
"desc_one": "Er du sikker på, at du vil slette {{count}} model? Dette vil permanent slette alle tilknyttede data, inkl. billeder og træningsdata. Denne handling kan ikke fortrydes.",
|
||||
"desc_other": "Er du sikker på, at du vil slette {{count}} modeller? Dette vil permanent slette alle tilknyttede data, inkl. billeder og træningsdata. Denne handling kan ikke fortrydes.",
|
||||
"single": "Er du sikker på, at du vil slette {{name}}? Dette vil permanent slette alle tilknyttede data, inklusive billeder og træningsdata. Denne handling kan ikke fortrydes."
|
||||
},
|
||||
"train": {
|
||||
"title": "Nyeste kategorier",
|
||||
"titleShort": "Nyeste",
|
||||
"aria": "Vælg de nyeste kategorier"
|
||||
},
|
||||
"categories": "Kategorier",
|
||||
"createCategory": {
|
||||
"new": "Opret en ny kategori"
|
||||
},
|
||||
"categorizeImageAs": "Kategoriser billedet som:",
|
||||
"categorizeImage": "Kategoriser billedet",
|
||||
"menu": {
|
||||
"objects": "Genstande",
|
||||
"states": "Statestik"
|
||||
},
|
||||
"noModels": {
|
||||
"object": {
|
||||
"title": "Ingen kategoriseringsmodeller for genstande",
|
||||
"description": "Opret en model, der kan kategorisere genstande.",
|
||||
"buttonText": "Opret Genstands Model"
|
||||
},
|
||||
"state": {
|
||||
"title": "Ingen modeller til genstandstilstande",
|
||||
"description": "Opret en brugerdefineret model til at overvåge og kategorisere tilstandsændringer i specifikke kamerområder.",
|
||||
"buttonText": "Opret tilstandsmodel"
|
||||
}
|
||||
},
|
||||
"wizard": {
|
||||
"step1": {
|
||||
"type": "Type",
|
||||
"typeState": "Tilstand",
|
||||
"typeObject": "Genstand",
|
||||
"objectLabel": "Genstands mærkat",
|
||||
"objectLabelPlaceholder": "Vælg genstands type...",
|
||||
"classificationType": "Kategoriseringstype",
|
||||
"classificationTypeTip": "Udforsk kategoriseringstyper",
|
||||
"errors": {
|
||||
"nameLength": "Modellens navn må højst være 64 tegn",
|
||||
"nameOnlyNumbers": "Modellens navn skal indeholde bogstaver",
|
||||
"classRequired": "Der mangler en kategori",
|
||||
"classesUnique": "Kategorinavne skal være unikke",
|
||||
"noneNotAllowed": "Kategorinavnet 'none' er ikke tilladt",
|
||||
"stateRequiresTwoClasses": "Tilstandsmodeller har brug for 2 kategorier",
|
||||
"objectLabelRequired": "Vælg genstands mærkat",
|
||||
"objectTypeRequired": "Vælg kategoriseringstype",
|
||||
"nameRequired": "Modelnavn er påkrævet"
|
||||
},
|
||||
"description": "Tilstandsmodeller overvåger faste kameraområder for ændringer (f.eks. dør åben/lukket). Genstandsmodeller tilføjer kategoriseringer til detekterede genstande (f.eks. kendte dyr, leveringspersoner osv.).",
|
||||
"name": "Navn",
|
||||
"namePlaceholder": "Skriv modelnavn...",
|
||||
"classificationTypeDesc": "Underetiketter tilføjer ekstra tekst til genstandens etiket (f.eks. 'Person: UPS'). Attributter er søgbare metadata, der opbevares separat i genstandens metadata.",
|
||||
"classificationSubLabel": "Underetiketter",
|
||||
"classificationAttribute": "Attribut",
|
||||
"classes": "Kategori",
|
||||
"states": "Tilstande",
|
||||
"classesTip": "Lær om kategorier",
|
||||
"classesStateDesc": "Definér de forskellige tilstande, dit kameraområde kan være i. For eksempel: 'åben' og 'lukket' for en garageport.",
|
||||
"classesObjectDesc": "Definér de forskellige kategorier, som detekterede genstande skal kategoriseres i. For eksempel: 'leveringsperson', 'beboer', 'fremmed' til kategorisering af personer.",
|
||||
"classPlaceholder": "Skriv kategorinavn..."
|
||||
},
|
||||
"step2": {
|
||||
"description": "Vælg kameraer, og definer det område, der skal overvåges for hvert kamera. Modellen vil kategorisere tilstanden i disse områder.",
|
||||
"cameras": "Kameraer",
|
||||
"selectCamera": "Vælg Kamera",
|
||||
"noCameras": "Klik + for at tilføje kamera",
|
||||
"selectCameraPrompt": "Vælg et kamera fra listen for at definere dets overvågningsområde"
|
||||
},
|
||||
"step3": {
|
||||
"selectImagesPrompt": "Vælg alle billeder med: {{className}}",
|
||||
"selectImagesDescription": "Klik på billederne for at vælge dem. Klik på Fortsæt, når du er færdig med denne kategori.",
|
||||
"allImagesRequired_one": "Venligst kategoriser alle billeder. {{count}} billede tilbage.",
|
||||
"allImagesRequired_other": "Venligst kategoriser alle billeder. {{count}} billeder tilbage.",
|
||||
"generating": {
|
||||
"title": "Genererer testbilleder",
|
||||
"description": "Frigate henter repræsentative billeder fra dine optagelser. Det kan tage et øjeblik..."
|
||||
},
|
||||
"training": {
|
||||
"title": "Træningsmodel",
|
||||
"description": "Din model trænes i baggrunden. Luk denne dialog, og din model vil begynde at køre, så snart træningen er færdig."
|
||||
},
|
||||
"retryGenerate": "Forsøg at generere igen",
|
||||
"noImages": "Ingen prøvebilleder blev genereret",
|
||||
"classifying": "Kategoriserer og træner...",
|
||||
"trainingStarted": "Træningen er startet",
|
||||
"modelCreated": "Model er oprettet. Brug visningen af nylige kategoriseringer til at tilføje billeder for de manglende tilstande, og træn modellen derefter.",
|
||||
"errors": {
|
||||
"noCameras": "Ingen kamera konfigureret",
|
||||
"noObjectLabel": "Ingen genstandsmærkat valgt",
|
||||
"generateFailed": "Kunne ikke generere eksempler: {{error}}",
|
||||
"generationFailed": "Der opstod en fejl under genereringen. Prøv igen.",
|
||||
"classifyFailed": "Kunne ikke kategorisere billederne: {{error}}"
|
||||
},
|
||||
"generateSuccess": "Eksempelbilleder er nu genereret",
|
||||
"missingStatesWarning": {
|
||||
"title": "Manglende tilstandseksempler",
|
||||
"description": "Det anbefales at vælge eksempler for alle tilstande for at opnå de bedste resultater. Du kan fortsætte uden at vælge alle tilstande, men modellen bliver ikke trænet, før alle tilstande har billeder. Efter du fortsætter, kan du bruge visningen Seneste kategoriseringer til at kategorisere billeder for de manglende tilstande og derefter træne modellen."
|
||||
}
|
||||
},
|
||||
"title": "Opret ny kategorisering",
|
||||
"steps": {
|
||||
"nameAndDefine": "Navn og definition",
|
||||
"stateArea": "Tilstandsområde",
|
||||
"chooseExamples": "Vælg Eksempler"
|
||||
}
|
||||
},
|
||||
"edit": {
|
||||
"title": "Rediger kategoriseringsmodel",
|
||||
"descriptionState": "Rediger kategorierne for denne model til genstandstilstande. Ændringer kræver, at modellen trænes igen.",
|
||||
"descriptionObject": "Rediger genstandstypen og kategoriseringstypen for denne genstandskategoriseringsmodel.",
|
||||
"stateClassesInfo": "Bemærk: Ændring af tilstandskategorier kræver, at modellen trænes igen med de opdaterede kategorier."
|
||||
},
|
||||
"deleteDatasetImages": {
|
||||
"title": "Slet billeder i datasættet",
|
||||
"desc_one": "Er du sikker på, at du vil slette {{count}} billede fra {{dataset}}? Denne handling kan ikke fortrydes og kræver, at modellen trænes igen.",
|
||||
"desc_other": "Er du sikker på, at du vil slette {{count}} billeder fra {{dataset}}? Denne handling kan ikke fortrydes og kræver, at modellen trænes igen."
|
||||
},
|
||||
"deleteTrainImages": {
|
||||
"title": "Slet trænings billeder",
|
||||
"desc_one": "Er du sikker på, at du vil slette {{count}} billede? Denne handling kan ikke fortrydes.",
|
||||
"desc_other": "Er du sikker på, at du vil slette {{count}} billeder? Denne handling kan ikke fortrydes."
|
||||
},
|
||||
"renameCategory": {
|
||||
"title": "Omdøb Kategori",
|
||||
"desc": "Indtast et nyt navn til {{name}}. Modellen skal trænes igen, før navneændringen træder i kraft."
|
||||
"addClassification": "Tilføj klassifikation"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -3,16 +3,8 @@
|
||||
"copyConfig": "Kopiér konfiguration",
|
||||
"saveAndRestart": "Gem & Genstart",
|
||||
"saveOnly": "Kun gem",
|
||||
"configEditor": "Konfigurationsværktøj",
|
||||
"safeConfigEditor": "Konfigurationsværktøj (Sikker tilstand)",
|
||||
"safeModeDescription": "Frigate er i sikker tilstand på grund af valideringsfejl af konfigurationen.",
|
||||
"confirm": "Afslut uden at gemme?",
|
||||
"toast": {
|
||||
"success": {
|
||||
"copyToClipboard": "Konfigurationen er kopieret."
|
||||
},
|
||||
"error": {
|
||||
"savingError": "Kan ikke gemme konfigurationen"
|
||||
}
|
||||
}
|
||||
"configEditor": "Konfigurationseditor",
|
||||
"safeConfigEditor": "Konfigurationseditor (Sikker tilstand)",
|
||||
"safeModeDescription": "Frigate er i sikker tilstand på grund af en fejl ved validering af konfigurationen.",
|
||||
"confirm": "Afslut uden at gemme?"
|
||||
}
|
||||
|
||||
@@ -11,22 +11,6 @@
|
||||
"empty": {
|
||||
"alert": "Der er ingen advarsler at gennemgå",
|
||||
"detection": "Der er ingen registreringer at gennemgå",
|
||||
"motion": "Ingen bevægelsesdata fundet",
|
||||
"recordingsDisabled": {
|
||||
"title": "Optagelser skal være aktiveret"
|
||||
}
|
||||
},
|
||||
"documentTitle": "Gennemse - Frigate",
|
||||
"recordings": {
|
||||
"documentTitle": "Optagelser - Frigate"
|
||||
},
|
||||
"calendarFilter": {
|
||||
"last24Hours": "Sidste 24 timer"
|
||||
},
|
||||
"markAsReviewed": "Marker som gennemset",
|
||||
"markTheseItemsAsReviewed": "Marker disse som gennemset",
|
||||
"detail": {
|
||||
"aria": "Skift til detaljevisning"
|
||||
},
|
||||
"timeline.aria": "Vælg tidslinje"
|
||||
"motion": "Ingen bevægelsesdata fundet"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -17,15 +17,10 @@
|
||||
"context": "Udforsk kan bruges, når genindekseringen af de sporede objektindlejringer er fuldført.",
|
||||
"finishingShortly": "Afsluttes om lidt",
|
||||
"step": {
|
||||
"thumbnailsEmbedded": "Miniaturer indlejret: ",
|
||||
"descriptionsEmbedded": "Beskrivelser indlejrede: ",
|
||||
"trackedObjectsProcessed": "Sporede objekter behandlede: "
|
||||
"thumbnailsEmbedded": "Miniaturer indlejret: "
|
||||
}
|
||||
},
|
||||
"title": "Udforsk er ikke tilgængelig",
|
||||
"downloadingModels": {
|
||||
"context": "Frigate henter de nødvendige indlejringsmodeller for at understøtte semantiske søgninger. Dette kan tage flere minutter, afhængig af hastigheden på din netværksforbindelse."
|
||||
}
|
||||
"title": "Udforsk er ikke tilgængelig"
|
||||
},
|
||||
"exploreMore": "Udforsk flere {{label}}-objekter",
|
||||
"details": {
|
||||
|
||||
@@ -8,11 +8,5 @@
|
||||
"desc": "Indtast et nyt navn for denne eksport."
|
||||
},
|
||||
"noExports": "Ingen eksporter fundet",
|
||||
"deleteExport": "Slet eksport",
|
||||
"tooltip": {
|
||||
"shareExport": "Del eksport",
|
||||
"downloadVideo": "Download video",
|
||||
"editName": "Rediger navn",
|
||||
"deleteExport": "Slette eksport"
|
||||
}
|
||||
"deleteExport": "Slet eksport"
|
||||
}
|
||||
|
||||
@@ -3,8 +3,7 @@
|
||||
"description": {
|
||||
"addFace": "Tilføj en ny samling til ansigtsbiblioteket ved at uploade dit første billede.",
|
||||
"placeholder": "Angiv et navn for bibliotek",
|
||||
"invalidName": "Ugyldigt navn. Navne må kun indeholde bogstaver, tal, mellemrum, apostroffer, understregninger og bindestreger.",
|
||||
"nameCannotContainHash": "Navet kan ikke indeholde #."
|
||||
"invalidName": "Ugyldigt navn. Navne må kun indeholde bogstaver, tal, mellemrum, apostroffer, understregninger og bindestreger."
|
||||
},
|
||||
"details": {
|
||||
"person": "Person",
|
||||
@@ -16,78 +15,5 @@
|
||||
"uploadFaceImage": {
|
||||
"title": "Upload ansigtsbillede",
|
||||
"desc": "Upload et billede for at scanne efter ansigter og inkludere det for {{pageToggle}}"
|
||||
},
|
||||
"train": {
|
||||
"titleShort": "Nyeste",
|
||||
"title": "Seneste genkendelser",
|
||||
"aria": "Vælg seneste genkendelser",
|
||||
"empty": "Der er ingen nylige ansigtsgenkendelser"
|
||||
},
|
||||
"createFaceLibrary": {
|
||||
"new": "Nyt ansigt",
|
||||
"nextSteps": "<ul> <li>Brug fanen <strong>Seneste genkendelser</strong> til at udvælge og træne på billeder for hver registreret person.</li> <li>Fokusér på billeder taget lige forfra for de bedste resultater; undgå træningsbilleder, hvor ansigter er fotograferet fra siden eller i vinkel.</li> </ul>"
|
||||
},
|
||||
"steps": {
|
||||
"faceName": "Skriv ansigt navn",
|
||||
"uploadFace": "Upload ansigt billede",
|
||||
"nextSteps": "Næste skridt",
|
||||
"description": {
|
||||
"uploadFace": "Upload et billede af {{name}}, hvor ansigtet er set forfra. Billedet behøver ikke kun at vise ansigtet og skal ikke beskæres."
|
||||
}
|
||||
},
|
||||
"button": {
|
||||
"deleteFace": "Slet ansigt",
|
||||
"deleteFaceAttempts": "Slet ansigter",
|
||||
"addFace": "Tilføj ansigt",
|
||||
"renameFace": "Omdøb ansigt",
|
||||
"uploadImage": "Upload billede",
|
||||
"reprocessFace": "Genbehandl ansigt"
|
||||
},
|
||||
"trainFace": "Lær ansigt",
|
||||
"renameFace": {
|
||||
"title": "Omdøb ansigt",
|
||||
"desc": "Indtast et nyt navn til {{name}}"
|
||||
},
|
||||
"toast": {
|
||||
"success": {
|
||||
"deletedFace_one": "{{count}} ansigt blev slettet",
|
||||
"deletedFace_other": "{{count}} ansigter blev slettet",
|
||||
"deletedName_one": "{{count}} ansigt slettet",
|
||||
"deletedName_other": "{{count}} ansigter slettet",
|
||||
"uploadedImage": "Billedet blev uploadet.",
|
||||
"addFaceLibrary": "{{name}} er blevet tilføjet til ansigtsbiblioteket!",
|
||||
"renamedFace": "Ansigtet er blevet omdøbt til {{name}}",
|
||||
"trainedFace": "Ansigtet er blevet trænet.",
|
||||
"updatedFaceScore": "Ansigtets score er blevet opdateret til {{score}} ({{name}})."
|
||||
},
|
||||
"error": {
|
||||
"uploadingImageFailed": "Kunne ikke uploade billedet: {{errorMessage}}",
|
||||
"addFaceLibraryFailed": "Kunne ikke angive navn på ansigtet: {{errorMessage}}",
|
||||
"deleteFaceFailed": "Kunne ikke slette: {{errorMessage}}",
|
||||
"deleteNameFailed": "Kunne ikke slette navnet: {{errorMessage}}",
|
||||
"renameFaceFailed": "Kunne ikke omdøbe ansigtet: {{errorMessage}}",
|
||||
"trainFailed": "Kunne ikke træne: {{errorMessage}}",
|
||||
"updateFaceScoreFailed": "Kunne ikke opdatere ansigtets score: {{errorMessage}}"
|
||||
}
|
||||
},
|
||||
"deleteFaceAttempts": {
|
||||
"desc_one": "Er du sikker på, at du vil slette {{count}} ansigt? Denne handling kan ikke fortrydes.",
|
||||
"desc_other": "Er du sikker på, at du vil slette {{count}} ansigter? Denne handling kan ikke fortrydes.",
|
||||
"title": "Slet ansigter"
|
||||
},
|
||||
"collections": "Samlinger",
|
||||
"deleteFaceLibrary": {
|
||||
"title": "Slet navn",
|
||||
"desc": "Er du sikker på, at du vil slette samlingen {{name}}? Dette vil permanent slette alle tilknyttede ansigter."
|
||||
},
|
||||
"imageEntry": {
|
||||
"maxSize": "Maks. størrelse: {{size}} MB",
|
||||
"validation": {
|
||||
"selectImage": "Vælg venligst en billedfil."
|
||||
},
|
||||
"dropActive": "Slip billedet her…",
|
||||
"dropInstructions": "Træk og slip eller indsæt et billede her – eller klik for at vælge"
|
||||
},
|
||||
"nofaces": "Ingen tilgængelige ansigter",
|
||||
"trainFaceAs": "Træn ansigt som:"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -14,104 +14,8 @@
|
||||
"move": {
|
||||
"clickMove": {
|
||||
"label": "Klik i billedrammen for at centrere kameraet",
|
||||
"enable": "Aktivér klik for at flytte",
|
||||
"disable": "Deaktiver klik for at flytte"
|
||||
},
|
||||
"left": {
|
||||
"label": "Flyt PTZ-kameraet til venstre"
|
||||
},
|
||||
"up": {
|
||||
"label": "Flyt PTZ kamera op"
|
||||
},
|
||||
"down": {
|
||||
"label": "Flyt PTZ-kameraet ned"
|
||||
},
|
||||
"right": {
|
||||
"label": "Flyt PTZ-kameraet til højre"
|
||||
"enable": "Aktivér klik for at flytte"
|
||||
}
|
||||
},
|
||||
"zoom": {
|
||||
"in": {
|
||||
"label": "Zoom PTZ-kamera ind"
|
||||
},
|
||||
"out": {
|
||||
"label": "Zoom PTZ kamera ud"
|
||||
}
|
||||
},
|
||||
"focus": {
|
||||
"in": {
|
||||
"label": "Focus PTZ kamera ind"
|
||||
},
|
||||
"out": {
|
||||
"label": "Focus PTZ kamera ud"
|
||||
}
|
||||
},
|
||||
"frame": {
|
||||
"center": {
|
||||
"label": "Klik på billedet for at centrere PTZ-kameraet"
|
||||
}
|
||||
},
|
||||
"presets": "PTZ kamera forudindstillinger"
|
||||
},
|
||||
"camera": {
|
||||
"enable": "Aktivér kamera",
|
||||
"disable": "Deaktivér kamera"
|
||||
},
|
||||
"muteCameras": {
|
||||
"enable": "Slå lyd på alle kameraer fra",
|
||||
"disable": "Slå lyd på alle kameraer til"
|
||||
},
|
||||
"detect": {
|
||||
"enable": "Aktiver detektering",
|
||||
"disable": "Deaktiver detektering"
|
||||
},
|
||||
"recording": {
|
||||
"enable": "Aktivér optagelse",
|
||||
"disable": "Deaktiver optagelse"
|
||||
},
|
||||
"snapshots": {
|
||||
"enable": "Aktivér Snapshots",
|
||||
"disable": "Deaktivér Snapshots"
|
||||
},
|
||||
"snapshot": {
|
||||
"takeSnapshot": "Hent instant snapshot",
|
||||
"noVideoSource": "Ingen videokilde til snapshot.",
|
||||
"captureFailed": "Kunne ikke tage snapshot.",
|
||||
"downloadStarted": "Hentning af snapshot startet."
|
||||
},
|
||||
"audioDetect": {
|
||||
"enable": "Aktiver lyddetektor",
|
||||
"disable": "Deaktiver lyddetektor"
|
||||
},
|
||||
"transcription": {
|
||||
"enable": "Aktiver Live Audio Transkription",
|
||||
"disable": "Deaktiver Live Audio Transkription"
|
||||
},
|
||||
"autotracking": {
|
||||
"enable": "Aktiver Autotracking",
|
||||
"disable": "Deaktiver Autotracking"
|
||||
},
|
||||
"streamStats": {
|
||||
"enable": "Vis Stream statistik",
|
||||
"disable": "Skjul Stream statistik"
|
||||
},
|
||||
"manualRecording": {
|
||||
"title": "Manuel optagelse",
|
||||
"tips": "Hent et øjebliksbillede eller start en manuel begivenhed baseret på dette kameras indstillinger for optagelse af opbevaring.",
|
||||
"playInBackground": {
|
||||
"label": "Afspil i baggrunden",
|
||||
"desc": "Aktiver denne mulighed for at fortsætte streaming, når afspilleren er skjult."
|
||||
},
|
||||
"showStats": {
|
||||
"label": "Vis statistik",
|
||||
"desc": "Aktiver denne mulighed for at vise streamstatistikker som en overlejring på kameraets feed."
|
||||
},
|
||||
"debugView": "Debug View",
|
||||
"start": "Start on-demand optagelse",
|
||||
"started": "Start manuel optagelse.",
|
||||
"failedToStart": "Manuel optagelse fejlede.",
|
||||
"recordDisabledTips": "Da optagelsen er deaktiveret eller begrænset i konfig for dette kamera, gemmes der kun et snapshot.",
|
||||
"end": "Afslut manuel optagelse",
|
||||
"ended": "Afsluttet manuel optagelse."
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"filter": "Filtrer",
|
||||
"filter": "Filter",
|
||||
"export": "Eksporter",
|
||||
"calendar": "Kalender",
|
||||
"filters": "Filtere",
|
||||
|
||||
@@ -8,12 +8,5 @@
|
||||
"filterInformation": "Filter information",
|
||||
"filterActive": "Filtre aktiv",
|
||||
"clear": "Ryd søgning"
|
||||
},
|
||||
"trackedObjectId": "Sporet genstands-ID",
|
||||
"filter": {
|
||||
"label": {
|
||||
"cameras": "Kameraer",
|
||||
"zones": "Områder"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -9,11 +9,6 @@
|
||||
"enrichments": "Indstillinger for berigelser - Frigate",
|
||||
"masksAndZones": "Maske- og zoneeditor - Frigate",
|
||||
"motionTuner": "Bevægelsesjustering - Frigate",
|
||||
"general": "Brugergrænsefladeindstillinger - Frigate",
|
||||
"frigatePlus": "Frigate+ Indstillinger - Frigate",
|
||||
"notifications": "Notifikations indstillinger - Frigate"
|
||||
},
|
||||
"menu": {
|
||||
"ui": "Brugergrænseflade"
|
||||
"general": "Brugergrænsefladeindstillinger - Frigate"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -84,8 +84,7 @@
|
||||
},
|
||||
"inProgress": "Im Gange",
|
||||
"invalidStartTime": "Ungültige Startzeit",
|
||||
"invalidEndTime": "Ungültige Endzeit",
|
||||
"never": "Nie"
|
||||
"invalidEndTime": "Ungültige Endzeit"
|
||||
},
|
||||
"button": {
|
||||
"save": "Speichern",
|
||||
@@ -179,8 +178,7 @@
|
||||
"lt": "Lietuvių (Litauisch)",
|
||||
"bg": "Български (bulgarisch)",
|
||||
"gl": "Galego (Galicisch)",
|
||||
"id": "Bahasa Indonesia (Indonesisch)",
|
||||
"hr": "Hrvatski (Kroatisch)"
|
||||
"id": "Bahasa Indonesia (Indonesisch)"
|
||||
},
|
||||
"appearance": "Erscheinung",
|
||||
"theme": {
|
||||
|
||||
@@ -6,8 +6,7 @@
|
||||
"content": "Diese Seite wird in {{countdown}} Sekunde(n) aktualisiert.",
|
||||
"button": "Neuladen erzwingen"
|
||||
},
|
||||
"button": "Neustarten",
|
||||
"description": "Dies wird Frigate kurz stoppen, während es neu startet."
|
||||
"button": "Neustarten"
|
||||
},
|
||||
"explore": {
|
||||
"plus": {
|
||||
|
||||
@@ -1,9 +1,8 @@
|
||||
{
|
||||
"description": {
|
||||
"placeholder": "Gib einen Name für diese Kollektion ein",
|
||||
"addFace": "Füge der Gesichtsbibliothek eine neue Sammlung hinzu, indem du ein erstes Bild hochlädst.",
|
||||
"invalidName": "Ungültiger Name. Namen dürfen nur Buchstaben, Zahlen, Leerzeichen, Apostrophe, Unterstriche und Bindestriche enthalten.",
|
||||
"nameCannotContainHash": "Der Name darf keine # enthalten."
|
||||
"addFace": "Füge der Gesichtsbibliothek eine neue Sammlung hinzu, indem du ein Bild hochlädst.",
|
||||
"invalidName": "Ungültiger Name. Namen dürfen nur Buchstaben, Zahlen, Leerzeichen, Apostrophe, Unterstriche und Bindestriche enthalten."
|
||||
},
|
||||
"details": {
|
||||
"person": "Person",
|
||||
|
||||
@@ -178,16 +178,6 @@
|
||||
"restricted": {
|
||||
"title": "Keine Kamera verfügbar",
|
||||
"description": "Sie haben keine Berechtigung, Kameras in dieser Gruppe anzuzeigen."
|
||||
},
|
||||
"default": {
|
||||
"title": "Keine Kameras konfiguriert",
|
||||
"description": "Zum Start eine Kamera mit Frigate verbinden.",
|
||||
"buttonText": "Kamera hinzufügen"
|
||||
},
|
||||
"group": {
|
||||
"title": "Keine Kameras in der Gruppe",
|
||||
"description": "Diese Kameragruppe hat keine zugewiesenen oder aktiven Kameras.",
|
||||
"buttonText": "Gruppen verwalten"
|
||||
}
|
||||
},
|
||||
"snapshot": {
|
||||
|
||||
@@ -49,12 +49,12 @@
|
||||
"desc": "Standardmäßig werden die letzten Warnmeldungen auf dem Live-Dashboard als kurze Videoschleifen abgespielt. Deaktiviere diese Option, um nur ein statisches Bild der letzten Warnungen auf diesem Gerät/Browser anzuzeigen."
|
||||
},
|
||||
"automaticLiveView": {
|
||||
"desc": "Automatisch zur Live-Ansicht einer Kamera wechseln, wenn eine Aktivität erkannt wird. Wenn diese Option deaktiviert ist, werden statische Kamerabilder auf dem Live-Dashboard nur einmal pro Minute aktualisiert.",
|
||||
"desc": "Zeigt automatisch das Live-Bild einer Kamera an, wenn eine Aktivität erkannt wird. Ist diese Option deaktiviert, werden Kamerabilder im Live-Dashboard nur einmal pro Minute aktualisiert.",
|
||||
"label": "Automatische Live Ansicht"
|
||||
},
|
||||
"displayCameraNames": {
|
||||
"label": "Immer Namen der Kamera anzeigen",
|
||||
"desc": "Zeige immer die Kameranamen in einem Chip im Dashboard der Mehrkamera-Live-Ansicht an."
|
||||
"desc": "Kamerabezeichnung immer im einem Chip im Live-View-Dashboard für mehrere Kameras anzeigen."
|
||||
},
|
||||
"liveFallbackTimeout": {
|
||||
"label": "Live Player Ausfallzeitlimit",
|
||||
@@ -276,11 +276,6 @@
|
||||
},
|
||||
"error": {
|
||||
"mustBeFinished": "Polygonzeichnung muss vor dem Speichern abgeschlossen sein."
|
||||
},
|
||||
"type": {
|
||||
"zone": "Zone",
|
||||
"motion_mask": "Bewegungsmaske",
|
||||
"object_mask": "Objektmaske"
|
||||
}
|
||||
},
|
||||
"speed": {
|
||||
@@ -549,7 +544,7 @@
|
||||
"placeholder": "Passwort eingeben",
|
||||
"requirements": {
|
||||
"title": "Passwort Anforderungen:",
|
||||
"length": "Mindestens 12 Zeichen",
|
||||
"length": "Mindestens 8 Zeichen",
|
||||
"uppercase": "Mindestens ein Großbuchstabe",
|
||||
"digit": "Mindestens eine Ziffer",
|
||||
"special": "Mindestens ein Sonderzeichen (!@#$%^&*(),.?\":{}|<>)"
|
||||
@@ -1215,7 +1210,7 @@
|
||||
"restreamingWarning": "Die Reduzierung der Verbindungen zur Kamera für den Aufzeichnungsstream kann zu einer geringfügigen Erhöhung der CPU-Auslastung führen.",
|
||||
"brands": {
|
||||
"reolink-rtsp": "Reolink RTSP wird nicht empfohlen. Aktivieren Sie HTTP in den Firmware-Einstellungen der Kamera und starten Sie den Assistenten neu.",
|
||||
"reolink-http": "Reolink-HTTP-Streams sollten für eine bessere Kompatibilität FFmpeg verwenden. Aktivieren Sie für diesen Stream die Option „Stream-Kompatibilitätsmodus verwenden“."
|
||||
"reolink-http": "Für Reolink-HTTP-Streams sollten sie FFmpeg verwenden, um eine bessere Kompatibilität zu gewährleisten. Aktivieren Sie für diesen Stream die Option „Stream-Kompatibilitätsmodus verwenden“."
|
||||
},
|
||||
"dahua": {
|
||||
"substreamWarning": "Substream 1 ist auf eine niedrige Auflösung festgelegt. Viele Kameras von Dahua / Amcrest / EmpireTech unterstützen zusätzliche Substreams, die in den Kameraeinstellungen aktiviert werden müssen. Es wird empfohlen, diese Streams zu überprüfen und zu nutzen, sofern sie verfügbar sind."
|
||||
@@ -1270,11 +1265,11 @@
|
||||
"title": "Kamera-Einstellungen überprüfen",
|
||||
"object_descriptions": {
|
||||
"title": "Generative KI Objektbeschreibungen",
|
||||
"desc": "Aktiviere/deaktiviere vorübergehend die Objektbeschreibungen durch generative KI für diese Kamera. Wenn diese Option deaktiviert ist, werden keine KI-generierten Beschreibungen für verfolgte Objekte dieser Kamera erstellt."
|
||||
"desc": "Aktiviere/deaktiviere vorübergehend die Objektbeschreibungen durch Generative KI für diese Kamera. Wenn diese Option deaktiviert ist, werden keine KI-generierten Beschreibungen für verfolgte Objekte dieser Kamera erstellt."
|
||||
},
|
||||
"review_descriptions": {
|
||||
"title": "Generative KI Review Beschreibungen",
|
||||
"desc": "Aktivieren/deaktivieren Sie vorübergehend die generativen KI-Überprüfungsbeschreibungen für diese Kamera, bis Frigate neu gestartet wird. Wenn diese Option deaktiviert ist, werden für Überprüfungselemente auf dieser Kamera keine KI-generierten Beschreibungen angefordert."
|
||||
"desc": "Generative KI Review Beschreibungen für diese Kamera vorübergehend aktivieren/deaktivieren. Wenn diese Option deaktiviert ist, werden für die Review Elemente dieser Kamera keine KI-generierten Beschreibungen angefordert."
|
||||
},
|
||||
"review": {
|
||||
"title": "Überprüfung",
|
||||
|
||||
@@ -75,8 +75,7 @@
|
||||
"s": "{{time}}δ",
|
||||
"inProgress": "Σε εξέλιξη",
|
||||
"invalidStartTime": "Μη έγκυρη ώρα έναρξης",
|
||||
"invalidEndTime": "Μη έγκυρη ώρα λήξης",
|
||||
"never": "Ποτέ"
|
||||
"invalidEndTime": "Μη έγκυρη ώρα λήξης"
|
||||
},
|
||||
"menu": {
|
||||
"live": {
|
||||
|
||||
@@ -2,13 +2,6 @@
|
||||
"documentTitle": "Μοντέλα Ταξινόμησης - Frigate",
|
||||
"details": {
|
||||
"scoreInfo": "Η βαθμολογία αντιπροσωπεύει την κατά μέσο όρο ταξινομική εμπιστοσύνη μεταξύ όλων των ανιχνεύσεων αυτού του αντικειμένου.",
|
||||
"none": "Καμία",
|
||||
"unknown": "Άγνωστο"
|
||||
},
|
||||
"button": {
|
||||
"deleteClassificationAttempts": "Διαγραφή Εικόνων Ταξινόμησης",
|
||||
"deleteImages": "Διαγραφή Εικόνων",
|
||||
"trainModel": "Εκπαίδευση Μοντέλου",
|
||||
"addClassification": "Προσθήκη Ταξινόμησης"
|
||||
"none": "Καμία"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -9,10 +9,7 @@
|
||||
"empty": {
|
||||
"alert": "Δεν υπάρχουν ειδοποιήσεις για εξέταση",
|
||||
"detection": "Δεν υπάρχουν εντοπισμοί για εξέταση",
|
||||
"motion": "Δεν βρέθηκαν στοιχεία κίνησης",
|
||||
"recordingsDisabled": {
|
||||
"title": "Οι καταγραφές πρέπει να είναι ενεργοποιημένες"
|
||||
}
|
||||
"motion": "Δεν βρέθηκαν στοιχεία κίνησης"
|
||||
},
|
||||
"timeline": "Χρονολόγιο",
|
||||
"timeline.aria": "Επιλογή χρονοσειράς",
|
||||
|
||||
@@ -193,7 +193,6 @@
|
||||
"yue": "粵語 (Cantonese)",
|
||||
"th": "ไทย (Thai)",
|
||||
"ca": "Català (Catalan)",
|
||||
"hr": "Hrvatski (Croatian)",
|
||||
"sr": "Српски (Serbian)",
|
||||
"sl": "Slovenščina (Slovenian)",
|
||||
"lt": "Lietuvių (Lithuanian)",
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
{
|
||||
"restart": {
|
||||
"title": "Are you sure you want to restart Frigate?",
|
||||
"description": "This will briefly stop Frigate while it restarts.",
|
||||
"button": "Restart",
|
||||
"restarting": {
|
||||
"title": "Frigate is Restarting",
|
||||
|
||||
@@ -2,8 +2,7 @@
|
||||
"description": {
|
||||
"addFace": "Add a new collection to the Face Library by uploading your first image.",
|
||||
"placeholder": "Enter a name for this collection",
|
||||
"invalidName": "Invalid name. Names can only include letters, numbers, spaces, apostrophes, underscores, and hyphens.",
|
||||
"nameCannotContainHash": "Name cannot contain #."
|
||||
"invalidName": "Invalid name. Names can only include letters, numbers, spaces, apostrophes, underscores, and hyphens."
|
||||
},
|
||||
"details": {
|
||||
"timestamp": "Timestamp",
|
||||
|
||||
@@ -468,11 +468,6 @@
|
||||
}
|
||||
},
|
||||
"polygonDrawing": {
|
||||
"type": {
|
||||
"zone": "zone",
|
||||
"motion_mask": "motion mask",
|
||||
"object_mask": "object mask"
|
||||
},
|
||||
"removeLastPoint": "Remove last point",
|
||||
"reset": {
|
||||
"label": "Clear all points"
|
||||
@@ -733,7 +728,10 @@
|
||||
},
|
||||
"requirements": {
|
||||
"title": "Password requirements:",
|
||||
"length": "At least 12 characters"
|
||||
"length": "At least 8 characters",
|
||||
"uppercase": "At least one uppercase letter",
|
||||
"digit": "At least one digit",
|
||||
"special": "At least one special character (!@#$%^&*(),.?\":{}|<>)"
|
||||
},
|
||||
"match": "Passwords match",
|
||||
"notMatch": "Passwords don't match"
|
||||
|
||||
@@ -90,8 +90,7 @@
|
||||
},
|
||||
"inProgress": "En progreso",
|
||||
"invalidStartTime": "Hora de inicio no válida",
|
||||
"invalidEndTime": "Hora de finalización no válida",
|
||||
"never": "Nunca"
|
||||
"invalidEndTime": "Hora de finalización no válida"
|
||||
},
|
||||
"menu": {
|
||||
"settings": "Ajustes",
|
||||
@@ -153,8 +152,7 @@
|
||||
"bg": "Български (Búlgaro)",
|
||||
"gl": "Galego (Gallego)",
|
||||
"id": "Bahasa Indonesia (Indonesio)",
|
||||
"ur": "اردو (Urdu)",
|
||||
"hr": "Hrvatski (Croata)"
|
||||
"ur": "اردو (Urdu)"
|
||||
},
|
||||
"appearance": "Apariencia",
|
||||
"darkMode": {
|
||||
@@ -269,8 +267,7 @@
|
||||
"show": "Mostrar {{item}}",
|
||||
"ID": "ID",
|
||||
"none": "Ninguno",
|
||||
"all": "Todas",
|
||||
"other": "Otro"
|
||||
"all": "Todas"
|
||||
},
|
||||
"role": {
|
||||
"title": "Rol",
|
||||
|
||||
@@ -6,8 +6,7 @@
|
||||
"content": "Esta página se recargará en {{countdown}} segundos."
|
||||
},
|
||||
"title": "¿Estás seguro de que quieres reiniciar Frigate?",
|
||||
"button": "Reiniciar",
|
||||
"description": "Esto detendrá brevemente Frigate mientras se reinicia."
|
||||
"button": "Reiniciar"
|
||||
},
|
||||
"explore": {
|
||||
"plus": {
|
||||
|
||||
@@ -129,13 +129,13 @@
|
||||
"classes": {
|
||||
"label": "Clases",
|
||||
"all": {
|
||||
"title": "Todas las clases"
|
||||
"title": "Todas las Clases"
|
||||
},
|
||||
"count_one": "{{count}} Clase",
|
||||
"count_other": "{{count}} Clases"
|
||||
},
|
||||
"attributes": {
|
||||
"label": "Atributos de clasificación",
|
||||
"label": "Clasificación de Atributos",
|
||||
"all": "Todos los Atributos"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -62,7 +62,7 @@
|
||||
"details": {
|
||||
"scoreInfo": "La puntuación representa la confianza media de clasificación en todas las detecciones de este objeto.",
|
||||
"unknown": "Desconocido",
|
||||
"none": "Ninguna"
|
||||
"none": "Nada"
|
||||
},
|
||||
"categorizeImage": "Clasificar Imagen",
|
||||
"menu": {
|
||||
|
||||
@@ -14,5 +14,5 @@
|
||||
"documentTitle": "Editor de Configuración - Frigate",
|
||||
"confirm": "¿Salir sin guardar?",
|
||||
"safeConfigEditor": "Editor de Configuración (Modo Seguro)",
|
||||
"safeModeDescription": "Frigate esta en modo seguro debido a un error en la validación de la configuración."
|
||||
"safeModeDescription": "Frigate esta en modo seguro debido a un error en la configuración."
|
||||
}
|
||||
|
||||
@@ -2,8 +2,7 @@
|
||||
"description": {
|
||||
"addFace": "Agregar una nueva colección a la Biblioteca de Rostros subiendo tu primera imagen.",
|
||||
"placeholder": "Introduce un nombre para esta colección",
|
||||
"invalidName": "Nombre incorrecto. Los nombres solo pueden incluir letras, números, espacios, apóstrofes, guiones bajos, y guiones.",
|
||||
"nameCannotContainHash": "El nombre no puede contener #."
|
||||
"invalidName": "Nombre incorrecto. Los nombres solo pueden incluir letras, números, espacios, apóstrofes, guiones bajos, y guiones."
|
||||
},
|
||||
"details": {
|
||||
"person": "Persona",
|
||||
|
||||
@@ -178,16 +178,6 @@
|
||||
"restricted": {
|
||||
"title": "No hay cámaras disponibles",
|
||||
"description": "No tiene permiso para ver ninguna cámara en este grupo."
|
||||
},
|
||||
"default": {
|
||||
"title": "No hay Cámaras Configuradas",
|
||||
"description": "Comienza conectando una cámara a Frigate.",
|
||||
"buttonText": "Añadir Cámara"
|
||||
},
|
||||
"group": {
|
||||
"title": "No hay Cámaras en Grupo",
|
||||
"description": "Estae grupo de cámaras no tiene cámaras asignadas o habilitadas.",
|
||||
"buttonText": "Gestionar Grupos"
|
||||
}
|
||||
},
|
||||
"snapshot": {
|
||||
|
||||
@@ -52,7 +52,7 @@
|
||||
},
|
||||
"title": "Panel en directo",
|
||||
"displayCameraNames": {
|
||||
"label": "Siempre mostrar nombres de las Cámaras",
|
||||
"label": "Siempre mostrar nombres de las Camaras",
|
||||
"desc": "Siempre mostrar nombres de cámaras en la vista en vivo multi-cámara."
|
||||
},
|
||||
"liveFallbackTimeout": {
|
||||
@@ -276,12 +276,7 @@
|
||||
"reset": {
|
||||
"label": "Borrar todos los puntos"
|
||||
},
|
||||
"removeLastPoint": "Eliminar el último punto",
|
||||
"type": {
|
||||
"zone": "zona",
|
||||
"motion_mask": "máscara de movimiento",
|
||||
"object_mask": "máscara de objeto"
|
||||
}
|
||||
"removeLastPoint": "Eliminar el último punto"
|
||||
},
|
||||
"speed": {
|
||||
"error": {
|
||||
@@ -553,7 +548,7 @@
|
||||
"hide": "Ocultar contraseña",
|
||||
"requirements": {
|
||||
"title": "Requisitos de contraseña:",
|
||||
"length": "Al menos 12 caracteres",
|
||||
"length": "Al menos 8 caracteres",
|
||||
"uppercase": "Al menos una mayúscula",
|
||||
"digit": "Al menos un número",
|
||||
"special": "Al menos un caracter especial (!@#$%^&*(),.?\":{}|<>)"
|
||||
@@ -713,7 +708,7 @@
|
||||
"unsavedChanges": "Cambios en la configuración de Frigate+ no guardados"
|
||||
},
|
||||
"enrichments": {
|
||||
"title": "Configuración de Enriquecimientos",
|
||||
"title": "Configuración de Análisis Avanzado",
|
||||
"unsavedChanges": "Cambios sin guardar en la configuración de Análisis Avanzado",
|
||||
"birdClassification": {
|
||||
"title": "Clasificación de Aves",
|
||||
@@ -1196,11 +1191,11 @@
|
||||
"title": "Configuración de revisión de la cámara",
|
||||
"object_descriptions": {
|
||||
"title": "Descripciones de objetos de IA generativa",
|
||||
"desc": "Habilite o deshabilite temporalmente las descripciones de objetos generadas por IA para esta cámara hasta que Frigate se reinicie. Al deshabilitarlas, no se solicitarán descripciones generadas por IA para los objetos rastreados en esta cámara."
|
||||
"desc": "Habilite o deshabilite temporalmente las descripciones de objetos generadas por IA para esta cámara. Al deshabilitarlas, no se solicitarán descripciones generadas por IA para los objetos rastreados en esta cámara."
|
||||
},
|
||||
"review_descriptions": {
|
||||
"title": "Revisión de descripciones de IA generativa",
|
||||
"desc": "Habilita o deshabilita temporalmente las revisión de descripciones generadas por IA para esta cámara hasta que Frigate se reinicie. Al deshabilitarlas, no se solicitarán descripciones generadas por IA para los elementos de revisión de esta cámara."
|
||||
"desc": "Habilita o deshabilita temporalmente las revisión de descripciones generadas por IA para esta cámara. Al deshabilitarlas, no se solicitarán descripciones generadas por IA para los elementos de revisión de esta cámara."
|
||||
},
|
||||
"review": {
|
||||
"title": "Revisar",
|
||||
|
||||
@@ -90,9 +90,7 @@
|
||||
"series": {
|
||||
"go2rtc": "go2rtc",
|
||||
"recording": "grabación",
|
||||
"review_segment": "revisar segmento",
|
||||
"embeddings": "embeddings",
|
||||
"audio_detector": "detector de audio"
|
||||
"review_segment": "revisar segmento"
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
@@ -75,8 +75,7 @@
|
||||
"12hour": "dd. MMM yyyy, hh:mm aaa",
|
||||
"24hour": "dd. MMM yyyy, HH:mm"
|
||||
},
|
||||
"formattedTimestampMonthDay": "dd. MMM",
|
||||
"never": "Mitte kunagi"
|
||||
"formattedTimestampMonthDay": "dd. MMM"
|
||||
},
|
||||
"menu": {
|
||||
"user": {
|
||||
@@ -139,8 +138,7 @@
|
||||
"bg": "Български (bulgaaria keel)",
|
||||
"gl": "Galego (galeegi keel)",
|
||||
"id": "Bahasa Indonesia (indoneesia keel)",
|
||||
"ur": "اردو (urdu keel)",
|
||||
"hr": "Hrvatski (horvaadi keel)"
|
||||
"ur": "اردو (urdu keel)"
|
||||
},
|
||||
"system": "Süsteem",
|
||||
"systemMetrics": "Süsteemi meetrika",
|
||||
|
||||
@@ -6,8 +6,7 @@
|
||||
"title": "Frigate käivitub uuesti",
|
||||
"content": "See leht laaditakse uuesti {{countdown}} sekundi pärast.",
|
||||
"button": "Laadi uuesti kohe"
|
||||
},
|
||||
"description": "Järgnevaga Frigate uuesti käivitamise ajaks lõpetab korraks töö."
|
||||
}
|
||||
},
|
||||
"search": {
|
||||
"saveSearch": {
|
||||
|
||||
@@ -30,21 +30,11 @@
|
||||
"stationary": "{{label}} jäi paigale",
|
||||
"active": "{{label}} muutus aktiivseks",
|
||||
"entered_zone": "{{label}} sisenes tsooni {{zones}}",
|
||||
"visible": "{{label}} on tuvastatud",
|
||||
"header": {
|
||||
"zones": "Tsoonid",
|
||||
"ratio": "Suhtarv",
|
||||
"area": "Ala",
|
||||
"score": "Punktiskoor"
|
||||
}
|
||||
"visible": "{{label}} on tuvastatud"
|
||||
},
|
||||
"title": "Jälgimise üksikasjad",
|
||||
"noImageFound": "Selle ajatempli kohta ei leidu pilti.",
|
||||
"createObjectMask": "Loo objektimask",
|
||||
"carousel": {
|
||||
"previous": "Eelmine slaid",
|
||||
"next": "Järgmine slaid"
|
||||
}
|
||||
"createObjectMask": "Loo objektimask"
|
||||
},
|
||||
"documentTitle": "Avasta - Frigate",
|
||||
"generativeAI": "Generatiivne tehisaru",
|
||||
@@ -73,15 +63,12 @@
|
||||
"tips": {
|
||||
"mismatch_one": "Tuvastasin {{count}} võõra objekti ja need on lisatud ülevaatamiseks. Need objektid kas ei ole piisavad häire või tuvastamise jaoks, aga ka võivad juba olla eemaldatud või kustutatud.",
|
||||
"mismatch_other": "Tuvastasin {{count}} võõrast objekti ja need on lisatud ülevaatamiseks. Need objektid kas ei ole piisavad häire või tuvastamise jaoks, aga ka võivad juba olla eemaldatud või kustutatud."
|
||||
},
|
||||
"title": "Vaata objekti üksikasju",
|
||||
"desc": "Vaata objekti üksikasju"
|
||||
}
|
||||
},
|
||||
"snapshotScore": {
|
||||
"label": "Hetkvõttete punktiskoor"
|
||||
},
|
||||
"regenerateFromSnapshot": "Loo uuesti hetkvõttest",
|
||||
"timestamp": "Ajatampel"
|
||||
},
|
||||
"trackedObjectDetails": "Jälgitava objekti üksikasjad"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -10,8 +10,7 @@
|
||||
"objectDetection": "Objektide tuvastamine",
|
||||
"audioDetection": "Heli tuvastus",
|
||||
"transcription": "Heli üleskirjutus",
|
||||
"snapshots": "Hetkvõtted",
|
||||
"autotracking": "Automaatne jälgimine"
|
||||
"snapshots": "Hetkvõtted"
|
||||
},
|
||||
"documentTitle": "Otseülekanne - Frigate",
|
||||
"documentTitle.withCamera": "{{camera}} - Otseülekanne - Frigate",
|
||||
@@ -96,10 +95,6 @@
|
||||
"playInBackground": {
|
||||
"label": "Esita taustal",
|
||||
"tips": "Selle eelistusega saad määrata, et voogedastus jääb tööle ka siis, kui meesiaesitaja on suletud."
|
||||
},
|
||||
"audio": {
|
||||
"available": "Selles voogedastuses on heliriba saadaval",
|
||||
"unavailable": "Selles voogedastuses pole heliriba saadaval"
|
||||
}
|
||||
},
|
||||
"notifications": "Teavitused",
|
||||
@@ -134,25 +129,6 @@
|
||||
"restricted": {
|
||||
"title": "Ühtegi kaamerat pole saadaval",
|
||||
"description": "Sul pole õigust ühegi selle grupi kaamera vaatamiseks."
|
||||
},
|
||||
"title": "Ühtegi kaamerat pole seadistatud",
|
||||
"description": "Alustamiseks ühenda mõni kaamera Frigate'iga."
|
||||
},
|
||||
"effectiveRetainMode": {
|
||||
"modes": {
|
||||
"active_objects": "Aktiivsed objektid",
|
||||
"all": "Kõik",
|
||||
"motion": "Liikumine"
|
||||
}
|
||||
},
|
||||
"editLayout": {
|
||||
"label": "Muuda paigutust",
|
||||
"group": {
|
||||
"label": "Muuda kaameragruppi"
|
||||
},
|
||||
"exitEdit": "Välju muutmisest"
|
||||
},
|
||||
"history": {
|
||||
"label": "Näita varasemat sisu"
|
||||
}
|
||||
}
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user