Corner Visualization¶
Class: CornerVisualizationBlockV1
Source: inference.core.workflows.core_steps.visualizations.corner.v1.CornerVisualizationBlockV1
The CornerVisualization
block draws the corners of detected
objects in an image using Supervision's sv.BoxCornerAnnotator
.
Type identifier¶
Use the following identifier in step "type"
field: roboflow_core/corner_visualization@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.. | ❌ |
copy_image |
bool |
Enable this option to create a copy of the input image for visualization, preserving the original. Use this when stacking multiple visualizations.. | ✅ |
color_palette |
str |
Select a color palette for the visualised elements.. | ✅ |
palette_size |
int |
Specify the number of colors in the palette. This applies when using custom or Matplotlib palettes.. | ✅ |
custom_colors |
List[str] |
Define a list of custom colors for bounding boxes in HEX format.. | ✅ |
color_axis |
str |
Choose how bounding box colors are assigned.. | ✅ |
thickness |
int |
Thickness of the lines in pixels.. | ✅ |
corner_length |
int |
Length of the corner lines in pixels.. | ✅ |
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 Corner Visualization
in version v1
.
- inputs:
Blur Visualization
,Triangle Visualization
,Anthropic Claude
,Trace Visualization
,YOLO-World Model
,Label Visualization
,LMM
,Distance Measurement
,Model Monitoring Inference Aggregator
,Roboflow Dataset Upload
,Time in Zone
,Pixel Color Count
,Absolute Static Crop
,Image Preprocessing
,Relative Static Crop
,Keypoint Detection Model
,Byte Tracker
,Image Threshold
,Reference Path Visualization
,Slack Notification
,Segment Anything 2 Model
,Stability AI Outpainting
,Instance Segmentation Model
,SIFT
,Roboflow Dataset Upload
,Identify Outliers
,Detection Offset
,Google Vision OCR
,Dimension Collapse
,Stability AI Inpainting
,Background Color Visualization
,Byte Tracker
,Detections Stabilizer
,Detections Transformation
,CSV Formatter
,Circle Visualization
,Image Blur
,Keypoint Visualization
,VLM as Detector
,SIFT Comparison
,Google Gemini
,Image Convert Grayscale
,PTZ Tracking (ONVIF)
.md),OpenAI
,Line Counter Visualization
,Model Comparison Visualization
,Path Deviation
,Dynamic Zone
,JSON Parser
,Roboflow Custom Metadata
,Image Slicer
,Line Counter
,Crop Visualization
,Corner Visualization
,VLM as Classifier
,Stitch OCR Detections
,Multi-Label Classification Model
,Pixelate Visualization
,Local File Sink
,Image Slicer
,Velocity
,Overlap Filter
,Mask Visualization
,VLM as Classifier
,Color Visualization
,Clip Comparison
,Polygon Visualization
,Email Notification
,Keypoint Detection Model
,Size Measurement
,Gaze Detection
,Perspective Correction
,Detections Consensus
,Path Deviation
,Moondream2
,Bounding Rectangle
,Camera Calibration
,OpenAI
,Detections Filter
,Detections Merge
,Bounding Box Visualization
,Buffer
,Camera Focus
,Detections Stitch
,Instance Segmentation Model
,Twilio SMS Notification
,CogVLM
,OpenAI
,Dynamic Crop
,Detections Classes Replacement
,Depth Estimation
,Halo Visualization
,Florence-2 Model
,Dot Visualization
,Template Matching
,Classification Label Visualization
,Webhook Sink
,Time in Zone
,SIFT Comparison
,Stability AI Image Generation
,VLM as Detector
,Florence-2 Model
,LMM For Classification
,Object Detection Model
,Ellipse Visualization
,Image Contours
,Llama 3.2 Vision
,Line Counter
,Clip Comparison
,Single-Label Classification Model
,Identify Changes
,Grid Visualization
,Stitch Images
,OCR Model
,Byte Tracker
,Object Detection Model
,Polygon Zone Visualization
- outputs:
Blur Visualization
,Anthropic Claude
,Triangle Visualization
,Dominant Color
,YOLO-World Model
,Trace Visualization
,Label Visualization
,LMM
,Roboflow Dataset Upload
,Time in Zone
,Pixel Color Count
,Absolute Static Crop
,Image Preprocessing
,Keypoint Detection Model
,Relative Static Crop
,Image Threshold
,Reference Path Visualization
,Segment Anything 2 Model
,QR Code Detection
,Stability AI Outpainting
,SIFT
,Instance Segmentation Model
,Roboflow Dataset Upload
,Google Vision OCR
,Stability AI Inpainting
,Background Color Visualization
,Detections Stabilizer
,Keypoint Visualization
,Circle Visualization
,Image Blur
,VLM as Detector
,Google Gemini
,OpenAI
,Image Convert Grayscale
,Line Counter Visualization
,Multi-Label Classification Model
,Model Comparison Visualization
,Perception Encoder Embedding Model
,Image Slicer
,Crop Visualization
,Corner Visualization
,VLM as Classifier
,Multi-Label Classification Model
,Pixelate Visualization
,Image Slicer
,Mask Visualization
,VLM as Classifier
,Clip Comparison
,Color Visualization
,Qwen2.5-VL
,Polygon Visualization
,Keypoint Detection Model
,Single-Label Classification Model
,Gaze Detection
,Perspective Correction
,Moondream2
,Camera Calibration
,OpenAI
,Bounding Box Visualization
,Barcode Detection
,Buffer
,Camera Focus
,SmolVLM2
,CogVLM
,Instance Segmentation Model
,Detections Stitch
,OpenAI
,Dynamic Crop
,Halo Visualization
,Depth Estimation
,Florence-2 Model
,Dot Visualization
,Template Matching
,Classification Label Visualization
,SIFT Comparison
,Stability AI Image Generation
,Florence-2 Model
,VLM as Detector
,LMM For Classification
,Object Detection Model
,Ellipse Visualization
,Llama 3.2 Vision
,Image Contours
,Clip Comparison
,Single-Label Classification Model
,Stitch Images
,OCR Model
,CLIP Embedding Model
,Byte Tracker
,Object Detection Model
,Polygon Zone Visualization
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Corner Visualization
in version v1
has.
Bindings
-
input
image
(image
): The image to visualize on..copy_image
(boolean
): Enable this option to create a copy of the input image for visualization, preserving the original. Use this when stacking multiple visualizations..predictions
(Union[object_detection_prediction
,keypoint_detection_prediction
,instance_segmentation_prediction
]): Model predictions to visualize..color_palette
(string
): Select a color palette for the visualised elements..palette_size
(integer
): Specify the number of colors in the palette. This applies when using custom or Matplotlib palettes..custom_colors
(list_of_values
): Define a list of custom colors for bounding boxes in HEX format..color_axis
(string
): Choose how bounding box colors are assigned..thickness
(integer
): Thickness of the lines in pixels..corner_length
(integer
): Length of the corner lines in pixels..
-
output
image
(image
): Image in workflows.
Example JSON definition of step Corner Visualization
in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/corner_visualization@v1",
"image": "$inputs.image",
"copy_image": true,
"predictions": "$steps.object_detection_model.predictions",
"color_palette": "DEFAULT",
"palette_size": 10,
"custom_colors": [
"#FF0000",
"#00FF00",
"#0000FF"
],
"color_axis": "CLASS",
"thickness": 4,
"corner_length": 15
}