Bounding Rectangle¶
Class: BoundingRectBlockV1
Source: inference.core.workflows.core_steps.transformations.bounding_rect.v1.BoundingRectBlockV1
The BoundingRect is a transformer block designed to simplify polygon
to the minimum boundig rectangle.
This block is best suited when Zone needs to be created based on shape of detected object
(i.e. basketball field, road segment, zebra crossing etc.)
Input detections should be filtered beforehand and contain only desired classes of interest.
Resulsts are stored in sv.Detections.data
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/bounding_rect@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 Bounding Rectangle in version v1.
- inputs:
Detection Offset,Detections Stitch,Path Deviation,Time in Zone,Instance Segmentation Model,Segment Anything 2 Model,Perspective Correction,Time in Zone,Line Counter,Detections Stabilizer,Detections Filter,Path Deviation,Bounding Rectangle,Detections Transformation,Detections Classes Replacement,Instance Segmentation Model - outputs:
Time in Zone,Florence-2 Model,Path Deviation,Pixelate Visualization,Detections Stitch,Line Counter,Corner Visualization,Blur Visualization,Mask Visualization,Perspective Correction,Line Counter,Detections Filter,Model Monitoring Inference Aggregator,Polygon Visualization,Halo Visualization,Trace Visualization,Model Comparison Visualization,Size Measurement,Detections Consensus,Byte Tracker,Roboflow Custom Metadata,Detections Classes Replacement,Crop Visualization,Detection Offset,Roboflow Dataset Upload,Roboflow Dataset Upload,Dynamic Zone,Dot Visualization,Circle Visualization,Background Color Visualization,Segment Anything 2 Model,Bounding Box Visualization,Ellipse Visualization,Label Visualization,Byte Tracker,Time in Zone,Florence-2 Model,Stability AI Inpainting,Detections Stabilizer,Path Deviation,Dynamic Crop,Byte Tracker,Triangle Visualization,Color Visualization,Bounding Rectangle,Detections Transformation,Distance Measurement
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Bounding Rectangle in version v1 has.
Bindings
-
input
predictions(instance_segmentation_prediction): .
-
output
detections_with_rect(instance_segmentation_prediction): Prediction with detected bounding boxes and segmentation masks in form of sv.Detections(...) object.
Example JSON definition of step Bounding Rectangle in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/bounding_rect@v1",
"predictions": "$segmentation.predictions"
}