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

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[list_of_values, image, *]): 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
}