Miscellaneous Fixes (#20989)

* Include DB in safe mode config

Copy DB when going into safe mode to avoid creating a new one if a user has configured a separate location

* Fix documentation for example log module

* Set minimum duration for recording segments

Due to the inpoint logic, some recordings would get clipped on the end of the segment with a non-zero duration but not enough duration to include a frame. 100 ms is a safe value for any video that is 10fps or higher to have a frame

* Add docs to explain object assignment for classification

* Add warning for Intel GPU stats bug

Add warning with explanation on GPU stats page when all Intel GPU values are 0

* Update docs with creation instructions

* reset loading state when moving through events in tracking details

* disable pip on preview players

* Improve HLS handling for startPosition

The startPosition was incorrectly calculated assuming continuous recordings, when it needs to consider only some segments exist. This extracts that logic to a utility so all can use it.

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Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>

docs/docs/configuration/custom_classification/state_classification.md

@@ -48,13 +48,23 @@ classification:
 
 ## Training the model
 
-Creating and training the model is done within the Frigate UI using the `Classification` page.
+Creating and training the model is done within the Frigate UI using the `Classification` page. The process consists of three steps:
 
-### Getting Started
+### Step 1: Name and Define
 
-When choosing a portion of the camera frame for state classification, it is important to make the crop tight around the area of interest to avoid extra signals unrelated to what is being classified.
+Enter a name for your model and define at least 2 classes (states) that represent mutually exclusive states. For example, `open` and `closed` for a door, or `on` and `off` for lights.
 
-// TODO add this section once UI is implemented. Explain process of selecting a crop.
+### Step 2: Select the Crop Area
+
+Choose one or more cameras and draw a rectangle over the area of interest for each camera. The crop should be tight around the region you want to classify to avoid extra signals unrelated to what is being classified. You can drag and resize the rectangle to adjust the crop area.
+
+### Step 3: Assign Training Examples
+
+The system will automatically generate example images from your camera feeds. You'll be guided through each class one at a time to select which images represent that state.
+
+**Important**: All images must be assigned to a state before training can begin. This includes images that may not be optimal, such as when people temporarily block the view, sun glare is present, or other distractions occur. Assign these images to the state that is actually present (based on what you know the state to be), not based on the distraction. This training helps the model correctly identify the state even when such conditions occur during inference.
+
+Once all images are assigned, training will begin automatically.
 
 ### Improving the Model