Polygon Visualization¶
Version v1
¶
The PolygonVisualization
block uses a detections from an
instance segmentation to draw polygons around objects using
sv.PolygonAnnotator
.
Type identifier¶
Use the following identifier in step "type"
field: roboflow_core/polygon_visualization@v1
to add the block as
as step in your workflow.
Properties¶
Name | Type | Description | Refs |
---|---|---|---|
name |
str |
The unique name of this step.. | ❌ |
copy_image |
bool |
Duplicate the image contents (vs overwriting the image in place). Deselect for chained visualizations that should stack on previous ones where the intermediate state is not needed.. | ✅ |
color_palette |
str |
Color palette to use for annotations.. | ✅ |
palette_size |
int |
Number of colors in the color palette. Applies when using a matplotlib color_palette .. |
✅ |
custom_colors |
List[str] |
List of colors to use for annotations when color_palette is set to "CUSTOM".. |
✅ |
color_axis |
str |
Strategy to use for mapping colors to annotations.. | ✅ |
thickness |
int |
Thickness of the outline 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¶
Check what blocks you can connect to Polygon Visualization
in version v1
.
- inputs:
Detection Offset
,Detections Stitch
,Segment Anything 2 Model
,Blur Visualization
,Image Convert Grayscale
,Camera Focus
,Dot Visualization
,Corner Visualization
,Circle Visualization
,Triangle Visualization
,Relative Static Crop
,Absolute Static Crop
,Background Color Visualization
,Detections Transformation
,Pixelate Visualization
,Polygon Visualization
,Image Threshold
,Label Visualization
,Crop Visualization
,Mask Visualization
,Detections Classes Replacement
,Image Contours
,Bounding Box Visualization
,Color Visualization
,Perspective Correction
,Detections Filter
,Instance Segmentation Model
,Halo Visualization
,SIFT
,Dynamic Crop
,Image Blur
,Ellipse Visualization
,Image Slicer
- outputs:
Template Matching
,Roboflow Dataset Upload
,Detections Stitch
,Multi-Label Classification Model
,Blur Visualization
,Segment Anything 2 Model
,Barcode Detection
,Image Convert Grayscale
,Camera Focus
,Dot Visualization
,VLM as Detector
,Corner Visualization
,Circle Visualization
,OpenAI
,Triangle Visualization
,CogVLM
,Relative Static Crop
,Absolute Static Crop
,Pixel Color Count
,LMM For Classification
,Background Color Visualization
,YOLO-World Model
,Pixelate Visualization
,Polygon Visualization
,Image Threshold
,Label Visualization
,OCR Model
,Crop Visualization
,Mask Visualization
,Image Contours
,LMM
,Bounding Box Visualization
,QR Code Detection
,Object Detection Model
,Color Visualization
,Image Slicer
,Perspective Correction
,OpenAI
,Clip Comparison
,VLM as Classifier
,Keypoint Detection Model
,Clip Comparison
,Anthropic Claude
,Instance Segmentation Model
,Halo Visualization
,Google Gemini
,Roboflow Dataset Upload
,Dominant Color
,SIFT
,Dynamic Crop
,Image Blur
,Ellipse Visualization
,Single-Label Classification Model
The available connections depend on its binding kinds. Check what binding kinds
Polygon Visualization
in version v1
has.
Bindings
-
input
predictions
(instance_segmentation_prediction
): Predictions.image
(image
): The input image for this step..copy_image
(boolean
): Duplicate the image contents (vs overwriting the image in place). Deselect for chained visualizations that should stack on previous ones where the intermediate state is not needed..color_palette
(string
): Color palette to use for annotations..palette_size
(integer
): Number of colors in the color palette. Applies when using a matplotlibcolor_palette
..custom_colors
(list_of_values
): List of colors to use for annotations whencolor_palette
is set to "CUSTOM"..color_axis
(string
): Strategy to use for mapping colors to annotations..thickness
(integer
): Thickness of the outline in pixels..
-
output
image
(image
): Image in workflows.
Example JSON definition of step Polygon Visualization
in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/polygon_visualization@v1",
"predictions": "$steps.instance_segmentation_model.predictions",
"image": "$inputs.image",
"copy_image": true,
"color_palette": "DEFAULT",
"palette_size": 10,
"custom_colors": [
"#FF0000",
"#00FF00",
"#0000FF"
],
"color_axis": "CLASS",
"thickness": 2
}