Dimension Collapse¶
Class: DimensionCollapseBlockV1
Source: inference.core.workflows.core_steps.fusion.dimension_collapse.v1.DimensionCollapseBlockV1
Takes multiple step outputs at data depth level n, concatenate them into list and reduce dimensionality to level n-1.
Useful in scenarios like: * aggregation of classification results for dynamically cropped images * aggregation of OCR results for dynamically cropped images
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/dimension_collapse@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
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 Dimension Collapse in version v1.
- inputs:
Corner Visualization,Slack Notification,VLM as Detector,VLM as Classifier,Polygon Zone Visualization,Image Slicer,Cache Set,Dot Visualization,Path Deviation,Roboflow Dataset Upload,Single-Label Classification Model,Image Convert Grayscale,Dominant Color,Stability AI Image Generation,Halo Visualization,Data Aggregator,Detections Classes Replacement,Dynamic Zone,CogVLM,Camera Calibration,Email Notification,Object Detection Model,Cosine Similarity,Single-Label Classification Model,Llama 3.2 Vision,Byte Tracker,Ellipse Visualization,Pixel Color Count,Size Measurement,Bounding Box Visualization,Line Counter Visualization,Image Preprocessing,Label Visualization,Local File Sink,Image Slicer,Detections Transformation,Anthropic Claude,Crop Visualization,Detections Stitch,OCR Model,Relative Static Crop,Model Comparison Visualization,QR Code Detection,Delta Filter,Path Deviation,Detections Filter,Clip Comparison,Time in Zone,CSV Formatter,Florence-2 Model,Keypoint Detection Model,Buffer,SIFT Comparison,Florence-2 Model,Multi-Label Classification Model,Rate Limiter,Keypoint Visualization,Identify Changes,Multi-Label Classification Model,Roboflow Custom Metadata,Line Counter,Stitch Images,Circle Visualization,Background Color Visualization,Twilio SMS Notification,Property Definition,LMM,Camera Focus,Image Blur,First Non Empty Or Default,Detections Merge,Google Gemini,Detection Offset,Stability AI Inpainting,Pixelate Visualization,Line Counter,OpenAI,Detections Consensus,Distance Measurement,Gaze Detection,Absolute Static Crop,Webhook Sink,Color Visualization,Image Threshold,Polygon Visualization,VLM as Classifier,Continue If,Instance Segmentation Model,Environment Secrets Store,Classification Label Visualization,Google Vision OCR,Roboflow Dataset Upload,Expression,Cache Get,JSON Parser,Object Detection Model,Keypoint Detection Model,Trace Visualization,Clip Comparison,Identify Outliers,YOLO-World Model,Stitch OCR Detections,Perspective Correction,Byte Tracker,OpenAI,Qwen2.5-VL,Mask Visualization,Time in Zone,Dynamic Crop,Template Matching,Barcode Detection,Byte Tracker,Instance Segmentation Model,Image Contours,SIFT,Reference Path Visualization,CLIP Embedding Model,Model Monitoring Inference Aggregator,Bounding Rectangle,Triangle Visualization,Velocity,SIFT Comparison,VLM as Detector,LMM For Classification,Grid Visualization,Segment Anything 2 Model,Detections Stabilizer,Dimension Collapse,Blur Visualization - outputs:
Circle Visualization,Corner Visualization,Bounding Box Visualization,Object Detection Model,Line Counter Visualization,VLM as Detector,VLM as Classifier,Keypoint Detection Model,Trace Visualization,Label Visualization,Clip Comparison,Polygon Zone Visualization,Line Counter,Cache Set,Anthropic Claude,Crop Visualization,Path Deviation,Dot Visualization,YOLO-World Model,Google Gemini,Line Counter,Perspective Correction,OpenAI,Detections Consensus,Path Deviation,Mask Visualization,Time in Zone,Webhook Sink,Color Visualization,Clip Comparison,Time in Zone,Halo Visualization,Polygon Visualization,Florence-2 Model,VLM as Classifier,Instance Segmentation Model,Keypoint Detection Model,Buffer,Instance Segmentation Model,Email Notification,Florence-2 Model,Reference Path Visualization,Classification Label Visualization,Triangle Visualization,Object Detection Model,Llama 3.2 Vision,VLM as Detector,LMM For Classification,Grid Visualization,Ellipse Visualization,Size Measurement
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Dimension Collapse in version v1 has.
Bindings
-
input
data(*): 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 Dimension Collapse in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/dimension_collapse@v1",
"data": "$steps.ocr_step.results"
}