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

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
}