Added documentation for SAM2 tracker

site/content/en/docs/enterprise/segment-anything-2-tracker.md

@@ -0,0 +1,100 @@
+---
+title: 'Segment Anything 2 Tracker'
+linkTitle: 'Segment Anything 2 Tracker'
+weight: 6
+description: 'Accelerating video labeling using SAM2 model'
+---
+
+## Overview
+
+Segment Anything 2 is a segmentation model that allows fast and precise selection of any object in videos or images.
+For enterprise customers, this model can be installed in their self-hosted solution. To ensure a good experience,
+it is strongly recommended to deploy the model using a GPU. Although it is possible to use a CPU-based version,
+it generally performs much slower and is suitable only for handling a single parallel request. Unlike a regular
+tracking model, the SAM 2 tracker is implemented as an annotation action. This allows it to be applied to existing
+objects (polygons and masks) to track them forward for a specified number of frames.
+
+## How to install
+
+> **Note**: This feature is not available in the community CVAT version.
+
+> **Note**: This feature requires the enhanced actions UI plugin, which is enabled by default.
+Usually, no additional steps are necessary on this.
+
+### Docker
+
+You can use existing scripts from the community repository
+(`./serverless/deploy_cpu.sh` or `./serverless/deploy_gpu.sh`).
+To deploy the feature, simply run:
+
+```sh
+./serverless/deploy_gpu.sh "path/to/the/function"
+```
+
+### Kubernetes
+
+- You need to deploy the Nuclio function manually.
+Note that this function requires a Redis client to store the tracking state.
+When running the `nuclio deploy` command, make sure to provide the necessary arguments.
+The minimal command is:
+
+```sh
+nuctl deploy "path/to/the/function"
+  --env CVAT_FUNCTIONS_REDIS_HOST="<redis_host>"
+  --env CVAT_FUNCTIONS_REDIS_PORT="<redis_port>"
+  --env CVAT_FUNCTIONS_REDIS_PASSWORD="<redis_password>" # if applicable
+```
+
+## Running tracker on an object
+
+The tracker can be applied to any polygons and masks. To run the tracker on an object, open the object menu and click
+"Run annotation action".
+
+<img src="/images/sam2_tracker_run_shape_action.png" style="max-width: 200px; padding: 16px;">
+
+Alternatively, you can use a hotkey: select the object and press **Ctrl + E** (default shortcut).
+When the modal opened, in "Select action" list, choose **Segment Anything 2: Tracker**:
+
+<img src="/images/sam2_tracker_run_shape_action_modal.png" style="max-width: 500px; padding: 16px;">
+
+Specify the **target frame** until which you want the object to be tracked,
+then click the **Run** button to start tracking. The process begins and may take some time to complete.
+The duration depends on the inference device, and the number of frames where the object will be tracked.
+
+<img src="/images/sam2_tracker_run_shape_action_modal_progress.png" style="max-width: 500px; padding: 16px;">
+
+Once the process is complete, the modal window closes. You can review how the object was tracked.
+If you notice that the tracked shape deteriorates at some point,
+you can adjust the object coordinates and run the tracker again from that frame.
+
+## Running tracker on multiple objects
+
+Instead of tracking each object individually, you can track multiple objects
+simultaneously. To do this, click the **Menu** button in the annotation view and select the **Run Actions** option:
+
+<img src="/images/sam2_tracker_run_action.png" style="max-width: 200px; padding: 16px;">
+
+Alternatively, you can use a hotkey: just press **Ctrl + E** (default shortcut) when there are no objects selected.
+This opens the actions modal. In this case, the tracker will be applied to all visible objects of suitable types
+(polygons and masks). In the action list of the opened model, select **Segment Anything 2: Tracker**:
+
+<img src="/images/sam2_tracker_run_action_modal.png" style="max-width: 500px; padding: 16px;">
+
+Specify the **target frame** until which you want the objects to be tracked,
+then click the **Run** button to start tracking. The process begins and may take some time to complete.
+The duration depends on the inference device, the number of simultaneously tracked objects,
+and the number of frames where the object will be tracked.
+
+<img src="/images/sam2_tracker_run_action_modal_progress.png" style="max-width: 500px; padding: 16px;">
+
+Once the process finishes, you may close the modal and review how the objects were tracked.
+If you notice that the tracked shapes deteriorate, you can adjust their
+coordinates and run the tracker again from that frame (for a single object or for many objects).
+
+
+## Tracker parameters
+
+- **Target frame**: Objects will be tracked up to this frame. Must be greater than the current frame
+- **Convert polygon shapes to tracks**: When enabled, all visible polygon shapes in the current frame will be converted
+to tracks before tracking begins. Use this option if you need tracks as the final output but started with shapes,
+produced for example by interactors (e.g. SAM2 or another one).

site/content/en/docs/enterprise/social-accounts-configuration.md

@@ -2,7 +2,7 @@
 title: 'Social auth configuration'
 linkTitle: 'Social auth configuration'
 weight: 3
-description: 'Social accounts authentication for Self-Hosted solution'
+description: 'Social accounts authentication for a Self-Hosted solution'
 ---
 
 > **Note:** This is a paid feature available for [Enterprise clients](https://www.cvat.ai/pricing/on-prem).