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

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
}