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