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