Overlap Filter¶
Class: OverlapBlockV1
Source: inference.core.workflows.core_steps.analytics.overlap.v1.OverlapBlockV1
The OverlapFilter
is an analytics block that filters out objects overlapping instances of some other class
For instance, for filtering people on bicycles, "bicycle" could be used as the overlap class.
Examples applications: people in a car, items on a pallet
The filter will remove the overlap class from the results, and only return the objects that overlap it. So in the case above, bicycle will also be removed from the results.
Type identifier¶
Use the following identifier in step "type"
field: roboflow_core/overlap@v1
to add the block as
as step in your workflow.
Properties¶
Name | Type | Description | Refs |
---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
overlap_type |
str |
Select center for centerpoint overlap, any for any overlap. | ❌ |
overlap_class_name |
str |
Overlap Class Name. | ❌ |
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 Overlap Filter
in version v1
.
- inputs:
Line Counter
,Detections Merge
,Time in Zone
,Dynamic Crop
,Perspective Correction
,Byte Tracker
,Detections Filter
,Template Matching
,Path Deviation
,Detections Classes Replacement
,Instance Segmentation Model
,Instance Segmentation Model
,Object Detection Model
,Segment Anything 2 Model
,Bounding Rectangle
,Byte Tracker
,Moondream2
,Dynamic Zone
,Detection Offset
,VLM as Detector
,Byte Tracker
,Detections Consensus
,Time in Zone
,Detections Stabilizer
,Google Vision OCR
,YOLO-World Model
,Overlap Filter
,Velocity
,PTZ Tracking (ONVIF)
.md),Detections Stitch
,Object Detection Model
,Path Deviation
,VLM as Detector
,Detections Transformation
- outputs:
Line Counter
,Florence-2 Model
,Corner Visualization
,Detections Merge
,Model Comparison Visualization
,Crop Visualization
,Time in Zone
,Background Color Visualization
,Blur Visualization
,Bounding Box Visualization
,Dynamic Crop
,Line Counter
,Distance Measurement
,Perspective Correction
,Stitch OCR Detections
,Circle Visualization
,Triangle Visualization
,Byte Tracker
,Dot Visualization
,Detections Filter
,Size Measurement
,Roboflow Dataset Upload
,Path Deviation
,Detections Classes Replacement
,Segment Anything 2 Model
,Ellipse Visualization
,Color Visualization
,Byte Tracker
,Detection Offset
,Byte Tracker
,Detections Consensus
,Time in Zone
,Pixelate Visualization
,Trace Visualization
,Detections Stabilizer
,Label Visualization
,Roboflow Dataset Upload
,Overlap Filter
,Velocity
,PTZ Tracking (ONVIF)
.md),Model Monitoring Inference Aggregator
,Detections Stitch
,Roboflow Custom Metadata
,Path Deviation
,Florence-2 Model
,Detections Transformation
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Overlap Filter
in version v1
has.
Bindings
-
input
predictions
(Union[object_detection_prediction
,instance_segmentation_prediction
]): Object predictions.
-
output
overlaps
(object_detection_prediction
): Prediction with detected bounding boxes in form of sv.Detections(...) object.
Example JSON definition of step Overlap Filter
in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/overlap@v1",
"predictions": "$steps.object_detection_model.predictions",
"overlap_type": "Center Overlap",
"overlap_class_name": "<block_does_not_provide_example>"
}