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: Background Color Visualization, Stitch Images, Size Measurement, Image Slicer, VLM as Classifier, Detections Transformation, Corner Visualization, Identify Outliers, Mask Visualization, CLIP Embedding Model, Line Counter, Barcode Detection, Model Comparison Visualization, Email Notification, Local File Sink, Time in Zone, Florence-2 Model, Multi-Label Classification Model, Ellipse Visualization, Rate Limiter, Camera Focus, OCR Model, Label Visualization, SmolVLM2, LMM For Classification, Blur Visualization, Dot Visualization, Perspective Correction, Google Vision OCR, Line Counter, Llama 3.2 Vision, Detections Stabilizer, Slack Notification, Cosine Similarity, Image Blur, Stitch OCR Detections, Depth Estimation, Stability AI Outpainting, Halo Visualization, Qwen2.5-VL, Stability AI Inpainting, Continue If, CogVLM, Classification Label Visualization, VLM as Detector, Instance Segmentation Model, Byte Tracker, Image Convert Grayscale, Perception Encoder Embedding Model, Polygon Zone Visualization, Clip Comparison, Detections Stitch, Crop Visualization, Image Slicer, Cache Get, YOLO-World Model, Detections Merge, Multi-Label Classification Model, Icon Visualization, Seg Preview, Color Visualization, Path Deviation, Buffer, Circle Visualization, Bounding Rectangle, CSV Formatter, Time in Zone, SIFT Comparison, Delta Filter, Single-Label Classification Model, SIFT, Line Counter Visualization, PTZ Tracking (ONVIF).md), Image Preprocessing, Trace Visualization, SIFT Comparison, LMM, Dynamic Zone, Model Monitoring Inference Aggregator, Detections Classes Replacement, Camera Calibration, Object Detection Model, QR Code Detection, Keypoint Detection Model, Pixelate Visualization, Anthropic Claude, Relative Static Crop, Google Gemini, Triangle Visualization, Segment Anything 2 Model, Environment Secrets Store, QR Code Generator, Byte Tracker, Dominant Color, Time in Zone, Pixel Color Count, Roboflow Custom Metadata, Cache Set, Florence-2 Model, Identify Changes, Single-Label Classification Model, Overlap Filter, Detection Offset, Stability AI Image Generation, EasyOCR, Absolute Static Crop, SAM 3, Morphological Transformation, Velocity, Clip Comparison, Image Threshold, Byte Tracker, First Non Empty Or Default, Polygon Visualization, OpenAI, Grid Visualization, Roboflow Dataset Upload, Path Deviation, Distance Measurement, Template Matching, Email Notification, Bounding Box Visualization, OpenAI, Keypoint Detection Model, Object Detection Model, Expression, Gaze Detection, Moondream2, Property Definition, Roboflow Dataset Upload, Dimension Collapse, JSON Parser, Keypoint Visualization, Contrast Equalization, Image Contours, Instance Segmentation Model, Detections Filter, OpenAI, VLM as Classifier, Detections Combine, Reference Path Visualization, Twilio SMS Notification, VLM as Detector, Webhook Sink, Detections Consensus, Data Aggregator, Dynamic Crop
• 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"
    ]
}