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

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
}