feat/core: BoT-SORT block

[AlexBodner]

What does this PR do?

Following Trackers 2.4.0 release, where we added BoT-SORT tracker (our new best one), we are adding it to workflows!
It is the first and only so far that takes an image as input along to detections in order to compensate camera motion between frames!

Type of Change

• New feature (non-breaking change that adds functionality)
• Documentation update

Testing

• I have tested this change locally
• I have added/updated tests for this change

Added tests following the other trackers and tried custom workflow:

{
  "version": "1.0",
  "inputs": [
    { "type": "WorkflowImage", "name": "image" }
  ],
  "steps": [
    {
      "type": "ObjectDetectionModel",
      "name": "model",
      "image": "$inputs.image",
      "model_id": "yolov8n-640",
      "confidence": 0.25,
      "class_filter": ["person"]
    },
    {
      "type": "roboflow_core/trackers_botsort@v1",
      "name": "tracker",
      "image": "$inputs.image",
      "detections": "$steps.model.predictions",
      "minimum_consecutive_frames": 1,
      "enable_cmc": true,
      "cmc_method": "sparseOptFlow",
      "cmc_downscale": 2
    },
    {
      "type": "roboflow_core/bounding_box_visualization@v1",
      "name": "boxes",
      "image": "$inputs.image",
      "predictions": "$steps.tracker.tracked_detections",
      "color_axis": "TRACK",
      "thickness": 2
    },
    {
      "type": "roboflow_core/label_visualization@v1",
      "name": "labels",
      "image": "$steps.boxes.image",
      "predictions": "$steps.tracker.tracked_detections",
      "text": "Tracker Id",
      "color_axis": "TRACK"
    },
    {
      "type": "roboflow_core/trace_visualization@v1",
      "name": "traces",
      "image": "$steps.labels.image",
      "predictions": "$steps.tracker.tracked_detections",
      "color_axis": "TRACK"
    }
  ],
  "outputs": [
    {
      "type": "JsonField",
      "name": "preview",
      "selector": "$steps.traces.image"
    }
  ]
}

Had problems with the docker server so couldn't test the UI in local.

We now generate warnings if cmc is enabled and frame is not passed, or viceversa, when the tracker doesn't use frame and it is passed.

Checklist

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code where necessary, particularly in hard-to-understand areas
• My changes generate no new warnings or errors
• I have updated the documentation accordingly (if applicable)

[socket-security]

Review the following changes in direct dependencies. Learn more about Socket for GitHub.

Diff	Package	Supply Chain Security	Vulnerability	Quality	Maintenance	License
	pypi/​trackers@​2.3.0 ⏵ 2.4.0

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