Reference Path Visualization

Class: ReferencePathVisualizationBlockV1

Source: inference.core.workflows.core_steps.visualizations.reference_path.v1.ReferencePathVisualizationBlockV1

The Reference Path Visualization block draws reference path in the image. To be used in combination with Path deviation block - to display the reference path.

Type identifier

Use the following identifier in step "type" field: roboflow_core/reference_path_visualization@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
copy_image	bool	Enable this option to create a copy of the input image for visualization, preserving the original. Use this when stacking multiple visualizations..	✅
reference_path	List[Any]	Reference path in a format [(x1, y1), (x2, y2), (x3, y3), ...].	✅
color	str	Color of the zone..	✅
thickness	int	Thickness of the lines in pixels..	✅

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to Reference Path Visualization in version v1.

• inputs: QR Code Generator, Image Convert Grayscale, Google Gemini, Dynamic Crop, SIFT Comparison, Blur Visualization, SIFT, Bounding Box Visualization, Stability AI Outpainting, Identify Changes, Camera Focus, Slack Notification, Keypoint Visualization, Trace Visualization, Polygon Visualization, Pixel Color Count, Ellipse Visualization, Model Comparison Visualization, Anthropic Claude, Dimension Collapse, OpenAI, Local File Sink, Triangle Visualization, Polygon Zone Visualization, Halo Visualization, Distance Measurement, LMM, Stability AI Image Generation, VLM as Detector, Florence-2 Model, Circle Visualization, Email Notification, Google Vision OCR, Motion Detection, Google Gemini, Clip Comparison, Camera Focus, Anthropic Claude, Object Detection Model, Instance Segmentation Model, Perspective Correction, VLM as Classifier, Reference Path Visualization, Corner Visualization, Color Visualization, Twilio SMS/MMS Notification, CSV Formatter, Image Slicer, OpenAI, Stitch OCR Detections, Camera Calibration, Image Blur, Buffer, Line Counter, VLM as Detector, Dot Visualization, Roboflow Custom Metadata, Image Threshold, Model Monitoring Inference Aggregator, Morphological Transformation, Label Visualization, Background Color Visualization, Classification Label Visualization, OCR Model, Roboflow Dataset Upload, Mask Visualization, Dynamic Zone, Detections List Roll-Up, Pixelate Visualization, Absolute Static Crop, PTZ Tracking (ONVIF).md), Keypoint Detection Model, Line Counter, Detections Consensus, Size Measurement, Webhook Sink, Grid Visualization, Contrast Equalization, Image Preprocessing, Google Gemini, Relative Static Crop, Stability AI Inpainting, Image Contours, Line Counter Visualization, Stitch Images, JSON Parser, Crop Visualization, OpenAI, Template Matching, OpenAI, Llama 3.2 Vision, Icon Visualization, Clip Comparison, SIFT Comparison, Depth Estimation, Twilio SMS Notification, Single-Label Classification Model, VLM as Classifier, Florence-2 Model, Background Subtraction, LMM For Classification, Multi-Label Classification Model, Identify Outliers, EasyOCR, CogVLM, Image Slicer, Roboflow Dataset Upload, Email Notification
• outputs: Detections Stitch, Seg Preview, Byte Tracker, Qwen3-VL, YOLO-World Model, Google Gemini, Image Convert Grayscale, QR Code Detection, Dynamic Crop, Blur Visualization, SIFT, Stability AI Outpainting, Bounding Box Visualization, Camera Focus, Keypoint Visualization, Trace Visualization, Instance Segmentation Model, Polygon Visualization, Dominant Color, Pixel Color Count, Ellipse Visualization, OpenAI, Model Comparison Visualization, Anthropic Claude, Triangle Visualization, Qwen2.5-VL, SAM 3, Polygon Zone Visualization, Halo Visualization, LMM, Stability AI Image Generation, Time in Zone, VLM as Detector, Florence-2 Model, CLIP Embedding Model, Single-Label Classification Model, Detections Stabilizer, Email Notification, Circle Visualization, Google Vision OCR, Google Gemini, Motion Detection, Clip Comparison, Camera Focus, Anthropic Claude, Object Detection Model, Instance Segmentation Model, Perspective Correction, Perception Encoder Embedding Model, VLM as Classifier, Reference Path Visualization, Corner Visualization, Color Visualization, Twilio SMS/MMS Notification, EasyOCR, Multi-Label Classification Model, Image Slicer, OpenAI, Image Blur, Buffer, Camera Calibration, SmolVLM2, VLM as Detector, SAM 3, Dot Visualization, Image Threshold, Morphological Transformation, Label Visualization, Background Color Visualization, OCR Model, Classification Label Visualization, Roboflow Dataset Upload, Keypoint Detection Model, Mask Visualization, Pixelate Visualization, Absolute Static Crop, Keypoint Detection Model, Moondream2, Image Preprocessing, Contrast Equalization, Google Gemini, Stability AI Inpainting, Barcode Detection, Template Matching, Line Counter Visualization, OpenAI, Image Contours, Crop Visualization, Relative Static Crop, Stitch Images, OpenAI, Llama 3.2 Vision, Icon Visualization, Clip Comparison, SIFT Comparison, Gaze Detection, Depth Estimation, Single-Label Classification Model, VLM as Classifier, Florence-2 Model, Background Subtraction, LMM For Classification, SAM 3, Object Detection Model, Multi-Label Classification Model, Segment Anything 2 Model, CogVLM, Image Slicer, Roboflow Dataset Upload

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Reference Path Visualization in version v1 has.

Bindings

• input

  • image (image): The image to visualize on..
  • copy_image (boolean): Enable this option to create a copy of the input image for visualization, preserving the original. Use this when stacking multiple visualizations..
  • reference_path (list_of_values): Reference path in a format [(x1, y1), (x2, y2), (x3, y3), ...].
  • color (string): Color of the zone..
  • thickness (integer): Thickness of the lines in pixels..

• output

  • image (image): Image in workflows.

Example JSON definition of step Reference Path Visualization in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/reference_path_visualization@v1",
    "image": "$inputs.image",
    "copy_image": true,
    "reference_path": "$inputs.expected_path",
    "color": "WHITE",
    "thickness": 2
}