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@ -89,9 +89,9 @@ Creating and training the model is done within the Frigate UI using the `Classif
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### Step 1: Name and Define
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Enter a name for your model, select the object label to classify (e.g., `person`, `dog`, `car`), choose the classification type (sub label or attribute), and define your classes. Include a `none` class for objects that don't fit any specific category.
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Enter a name for your model, select the object label to classify (e.g., `person`, `dog`, `car`), choose the classification type (sub label or attribute), and define your classes. Frigate will automatically include a `none` class for objects that don't fit any specific category.
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For example: To classify your two cats, create a model named "Our Cats" and create two classes, "Charlie" and "Leo". Create a third class, "none", for other neighborhood cats that are not your own.
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For example: To classify your two cats, create a model named "Our Cats" and create two classes, "Charlie" and "Leo". A third class, "none", will be created automatically for other neighborhood cats that are not your own.
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### Step 2: Assign Training Examples
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@ -5,7 +5,7 @@ title: Updating
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# Updating Frigate
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The current stable version of Frigate is **0.16.2**. The release notes and any breaking changes for this version can be found on the [Frigate GitHub releases page](https://github.com/blakeblackshear/frigate/releases/tag/v0.16.2).
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The current stable version of Frigate is **0.17.0**. The release notes and any breaking changes for this version can be found on the [Frigate GitHub releases page](https://github.com/blakeblackshear/frigate/releases/tag/v0.17.0).
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Keeping Frigate up to date ensures you benefit from the latest features, performance improvements, and bug fixes. The update process varies slightly depending on your installation method (Docker, Home Assistant Addon, etc.). Below are instructions for the most common setups.
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@ -33,21 +33,21 @@ If you’re running Frigate via Docker (recommended method), follow these steps:
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2. **Update and Pull the Latest Image**:
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- If using Docker Compose:
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- Edit your `docker-compose.yml` file to specify the desired version tag (e.g., `0.16.2` instead of `0.15.2`). For example:
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- Edit your `docker-compose.yml` file to specify the desired version tag (e.g., `0.17.0` instead of `0.16.3`). For example:
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```yaml
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services:
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frigate:
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image: ghcr.io/blakeblackshear/frigate:0.16.2
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image: ghcr.io/blakeblackshear/frigate:0.17.0
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```
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- Then pull the image:
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```bash
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docker pull ghcr.io/blakeblackshear/frigate:0.16.2
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docker pull ghcr.io/blakeblackshear/frigate:0.17.0
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```
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- **Note for `stable` Tag Users**: If your `docker-compose.yml` uses the `stable` tag (e.g., `ghcr.io/blakeblackshear/frigate:stable`), you don’t need to update the tag manually. The `stable` tag always points to the latest stable release after pulling.
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- If using `docker run`:
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- Pull the image with the appropriate tag (e.g., `0.16.2`, `0.16.2-tensorrt`, or `stable`):
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- Pull the image with the appropriate tag (e.g., `0.17.0`, `0.17.0-tensorrt`, or `stable`):
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```bash
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docker pull ghcr.io/blakeblackshear/frigate:0.16.2
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docker pull ghcr.io/blakeblackshear/frigate:0.17.0
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```
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3. **Start the Container**:
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@ -105,8 +105,8 @@ If an update causes issues:
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1. Stop Frigate.
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2. Restore your backed-up config file and database.
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3. Revert to the previous image version:
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- For Docker: Specify an older tag (e.g., `ghcr.io/blakeblackshear/frigate:0.15.2`) in your `docker run` command.
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- For Docker Compose: Edit your `docker-compose.yml`, specify the older version tag (e.g., `ghcr.io/blakeblackshear/frigate:0.15.2`), and re-run `docker compose up -d`.
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- For Docker: Specify an older tag (e.g., `ghcr.io/blakeblackshear/frigate:0.16.3`) in your `docker run` command.
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- 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`.
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- For Home Assistant: Reinstall the previous addon version manually via the repository if needed and restart the addon.
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4. Verify the old version is running again.
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@ -203,7 +203,9 @@ class EmbeddingMaintainer(threading.Thread):
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# post processors
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self.post_processors: list[PostProcessorApi] = []
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if any(c.review.genai.enabled_in_config for c in self.config.cameras.values()):
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if self.genai_client is not None and any(
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c.review.genai.enabled_in_config for c in self.config.cameras.values()
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):
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self.post_processors.append(
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ReviewDescriptionProcessor(
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self.config, self.requestor, self.metrics, self.genai_client
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@ -244,7 +246,9 @@ class EmbeddingMaintainer(threading.Thread):
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)
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self.post_processors.append(semantic_trigger_processor)
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if any(c.objects.genai.enabled_in_config for c in self.config.cameras.values()):
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if self.genai_client is not None and any(
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c.objects.genai.enabled_in_config for c in self.config.cameras.values()
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):
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self.post_processors.append(
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ObjectDescriptionProcessor(
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self.config,
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@ -42,11 +42,10 @@ def get_latest_version(config: FrigateConfig) -> str:
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"https://api.github.com/repos/blakeblackshear/frigate/releases/latest",
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timeout=10,
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)
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response = request.json()
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except (RequestException, JSONDecodeError):
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return "unknown"
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response = request.json()
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if request.ok and response and "tag_name" in response:
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return str(response.get("tag_name").replace("v", ""))
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else:
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