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