Continue If

Class: ContinueIfBlockV1

Source: inference.core.workflows.core_steps.flow_control.continue_if.v1.ContinueIfBlockV1

Based on provided configuration, block decides if it should follow to pointed execution path

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
condition_statement	StatementGroup	Define the conditional logic..	❌

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 Continue If in version v1.

• inputs: Crop Visualization, SIFT, Stitch OCR Detections, Blur Visualization, PTZ Tracking (ONVIF).md), Cache Set, Property Definition, Camera Focus, Mask Visualization, VLM as Classifier, Object Detection Model, Keypoint Detection Model, Image Preprocessing, Qwen2.5-VL, Object Detection Model, Bounding Rectangle, Cache Get, JSON Parser, SmolVLM2, LMM, Polygon Zone Visualization, QR Code Generator, Size Measurement, Florence-2 Model, Moondream2, Template Matching, Label Visualization, Pixel Color Count, Segment Anything 2 Model, Stability AI Image Generation, Keypoint Detection Model, Relative Static Crop, Slack Notification, Corner Visualization, Multi-Label Classification Model, Overlap Filter, Image Blur, Gaze Detection, Model Comparison Visualization, VLM as Detector, Time in Zone, Image Threshold, Roboflow Dataset Upload, CogVLM, Byte Tracker, Barcode Detection, Single-Label Classification Model, First Non Empty Or Default, Polygon Visualization, Stability AI Outpainting, Keypoint Visualization, Time in Zone, Grid Visualization, Delta Filter, OpenAI, Florence-2 Model, Image Slicer, Instance Segmentation Model, Twilio SMS Notification, Detections Stitch, Identify Changes, Continue If, Dynamic Crop, Anthropic Claude, QR Code Detection, Line Counter, Line Counter, Rate Limiter, LMM For Classification, Line Counter Visualization, Color Visualization, Image Contours, Image Convert Grayscale, Circle Visualization, Google Gemini, Data Aggregator, Cosine Similarity, Absolute Static Crop, Expression, Dynamic Zone, Multi-Label Classification Model, Environment Secrets Store, Byte Tracker, Detections Consensus, Stitch Images, Detections Filter, Trace Visualization, Roboflow Custom Metadata, OCR Model, Detections Transformation, Clip Comparison, YOLO-World Model, CLIP Embedding Model, Halo Visualization, Perspective Correction, Buffer, Stability AI Inpainting, Velocity, Webhook Sink, Distance Measurement, VLM as Detector, Perception Encoder Embedding Model, Triangle Visualization, Background Color Visualization, Detections Stabilizer, Byte Tracker, Path Deviation, Icon Visualization, SIFT Comparison, Pixelate Visualization, CSV Formatter, Instance Segmentation Model, Llama 3.2 Vision, Google Vision OCR, Reference Path Visualization, VLM as Classifier, Image Slicer, Identify Outliers, Depth Estimation, Roboflow Dataset Upload, Detection Offset, OpenAI, Classification Label Visualization, Dot Visualization, Email Notification, Local File Sink, OpenAI, Single-Label Classification Model, Bounding Box Visualization, Camera Calibration, Detections Classes Replacement, Ellipse Visualization, Detections Merge, Path Deviation, Model Monitoring Inference Aggregator, Dimension Collapse, SIFT Comparison, Dominant Color, Clip Comparison
• outputs: None

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Continue If in version v1 has.

Bindings

• input

  • evaluation_parameters (*): Data to be used in the conditional logic..
  • next_steps (step): Steps to execute if the condition evaluates to true..

• output

Example JSON definition of step Continue If in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/continue_if@v1",
    "condition_statement": {
        "statements": [
            {
                "comparator": {
                    "type": "(Number) =="
                },
                "left_operand": {
                    "operand_name": "left",
                    "type": "DynamicOperand"
                },
                "right_operand": {
                    "type": "StaticOperand",
                    "value": 1
                },
                "type": "BinaryStatement"
            }
        ],
        "type": "StatementGroup"
    },
    "evaluation_parameters": {
        "left": "$inputs.some"
    },
    "next_steps": [
        "$steps.on_true"
    ]
}