Buffer

Class: BufferBlockV1

Source: inference.core.workflows.core_steps.fusion.buffer.v1.BufferBlockV1

Returns an array of the last length values passed to it. The newest elements are added to the beginning of the array.

Useful for keeping a sliding window of images or detections for later processing, visualization, or comparison.

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
length	int	The number of elements to keep in the buffer. Older elements will be removed..	❌
pad	bool	If True, the end of the buffer will be padded with None values so its size is always exactly length..	❌

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 Buffer in version v1.

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

Input and Output Bindings

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

Bindings

• input

  • data (Union[*, image, list_of_values]): Reference to step outputs at depth level n to be concatenated and moved into level n-1..

• output

  • output (list_of_values): List of values of any type.

Example JSON definition of step Buffer in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/buffer@v1",
    "data": "$steps.visualization",
    "length": 5,
    "pad": true
}