Image Contours

Class: ImageContoursDetectionBlockV1

Source: inference.core.workflows.core_steps.classical_cv.contours.v1.ImageContoursDetectionBlockV1

Finds the contours in an image. It returns the contours and number of contours. The input image should be thresholded before using this block.

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
line_thickness	int	Line thickness for drawing contours..	✅

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 Image Contours in version v1.

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

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Image Contours in version v1 has.

Bindings

• input

  • image (image): The input image for this step..
  • line_thickness (integer): Line thickness for drawing contours..

• output

  • image (image): Image in workflows.
  • contours (contours): List of numpy arrays where each array represents contour points.
  • hierarchy (numpy_array): Numpy array.
  • number_contours (integer): Integer value.

Example JSON definition of step Image Contours in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/contours_detection@v1",
    "image": "$inputs.image",
    "line_thickness": 3
}