Line Counter Visualization¶
Version v1¶
The LineCounterZoneVisualization block draws line
in an image with a specified color and opacity.
Please note: line zone will be drawn on top of image passed to this block,
this block should be placed before other visualization blocks in the workflow.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/line_counter_visualization@v1to 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.. | ✅ |
zone |
List[Any] |
Line in the format [[x1, y1], [x2, y2]] consisting of exactly two points.. | ✅ |
color |
str |
Color of the zone.. | ✅ |
thickness |
int |
Thickness of the lines in pixels.. | ✅ |
text_thickness |
int |
Thickness of the text in pixels.. | ✅ |
text_scale |
float |
Scale of the text.. | ✅ |
count_in |
int |
Reference to the number of objects that crossed into the line zone.. | ✅ |
count_out |
int |
Reference to the number of objects that crossed out of the line zone.. | ✅ |
opacity |
float |
Transparency of the Mask overlay.. | ✅ |
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 Line Counter Visualization in version v1.
- inputs:
Color Visualization,Image Contours,Image Preprocessing,Mask Visualization,Dot Visualization,Corner Visualization,Model Comparison Visualization,Image Slicer,Image Blur,Clip Comparison,Label Visualization,Relative Static Crop,Polygon Visualization,Camera Focus,Florence-2 Model,Dynamic Crop,Halo Visualization,Crop Visualization,Dimension Collapse,Image Threshold,Line Counter,Line Counter,SIFT,Clip Comparison,Circle Visualization,SIFT Comparison,SIFT Comparison,Google Gemini,Size Measurement,Anthropic Claude,OpenAI,Stability AI Inpainting,Image Convert Grayscale,Line Counter Visualization,Absolute Static Crop,Background Color Visualization,Perspective Correction,Pixel Color Count,Distance Measurement,Bounding Box Visualization,Polygon Zone Visualization,Template Matching,Ellipse Visualization,Pixelate Visualization,Dynamic Zone,Triangle Visualization,Stitch Images,Blur Visualization - outputs:
Color Visualization,Image Contours,Image Preprocessing,Mask Visualization,Dot Visualization,Corner Visualization,Model Comparison Visualization,Image Slicer,Keypoint Detection Model,Image Blur,OCR Model,Label Visualization,Time in zone,Relative Static Crop,Florence-2 Model,Camera Focus,Clip Comparison,Polygon Visualization,Image Convert Grayscale,Dynamic Crop,YOLO-World Model,Halo Visualization,LMM For Classification,Segment Anything 2 Model,Crop Visualization,Image Threshold,Multi-Label Classification Model,QR Code Detection,Google Vision OCR,SIFT,Clip Comparison,LMM,Roboflow Dataset Upload,Barcode Detection,OpenAI,Circle Visualization,SIFT Comparison,VLM as Detector,Google Gemini,CogVLM,Anthropic Claude,Object Detection Model,Pixel Color Count,Stability AI Inpainting,OpenAI,Absolute Static Crop,Background Color Visualization,Perspective Correction,Detections Stitch,Line Counter Visualization,Dominant Color,Template Matching,Bounding Box Visualization,Polygon Zone Visualization,Ellipse Visualization,Pixelate Visualization,Triangle Visualization,Roboflow Dataset Upload,Instance Segmentation Model,Single-Label Classification Model,VLM as Classifier,Stitch Images,Blur Visualization
The available connections depend on its binding kinds. Check what binding kinds
Line Counter Visualization in version v1 has.
Bindings
-
input
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..zone(list_of_values): Line in the format [[x1, y1], [x2, y2]] consisting of exactly two points..color(string): Color of the zone..thickness(integer): Thickness of the lines in pixels..text_thickness(integer): Thickness of the text in pixels..text_scale(float): Scale of the text..count_in(integer): Reference to the number of objects that crossed into the line zone..count_out(integer): Reference to the number of objects that crossed out of the line zone..opacity(float_zero_to_one): Transparency of the Mask overlay..
-
output
image(image): Image in workflows.
Example JSON definition of step Line Counter Visualization in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/line_counter_visualization@v1",
"image": "$inputs.image",
"copy_image": true,
"zone": [
[
0,
50
],
[
500,
50
]
],
"color": "WHITE",
"thickness": 2,
"text_thickness": 1,
"text_scale": 1.0,
"count_in": "$steps.line_counter.count_in",
"count_out": "$steps.line_counter.count_out",
"opacity": 0.3
}