Relative Static Crop¶
Class: RelativeStaticCropBlockV1
Crop a Region of Interest (RoI) from an image, using relative coordinates.
This is useful when placed after an ObjectDetection block as part of a multi-stage workflow. For example, you could use an ObjectDetection block to detect objects, then the RelativeStaticCrop block to crop objects, then an OCR block to run character recognition on each of the individual cropped regions.
Type identifier¶
Use the following identifier in step "type"
field: roboflow_core/relative_statoic_crop@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.. | ❌ |
x_center |
float |
Center X of static crop (relative coordinate 0.0-1.0). | ✅ |
y_center |
float |
Center Y of static crop (relative coordinate 0.0-1.0). | ✅ |
width |
float |
Width of static crop (relative value 0.0-1.0). | ✅ |
height |
float |
Height of static crop (relative value 0.0-1.0). | ✅ |
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 Relative Static Crop
in version v1
.
- inputs:
Image Slicer
,Stability AI Inpainting
,Pixelate Visualization
,Perspective Correction
,Clip Comparison
,Relative Static Crop
,Detections Consensus
,SIFT Comparison
,Grid Visualization
,Ellipse Visualization
,SIFT
,Model Comparison Visualization
,Halo Visualization
,Image Contours
,Crop Visualization
,Absolute Static Crop
,Camera Focus
,Image Blur
,Trace Visualization
,Circle Visualization
,Image Preprocessing
,Background Color Visualization
,Dot Visualization
,Identify Changes
,Polygon Zone Visualization
,Identify Outliers
,Classification Label Visualization
,Bounding Box Visualization
,Corner Visualization
,Image Slicer
,Dynamic Crop
,Reference Path Visualization
,Label Visualization
,Mask Visualization
,Stitch Images
,Triangle Visualization
,Stability AI Image Generation
,Image Threshold
,Line Counter Visualization
,Keypoint Visualization
,Color Visualization
,Blur Visualization
,Image Convert Grayscale
,Polygon Visualization
- outputs:
Segment Anything 2 Model
,Image Slicer
,Stability AI Inpainting
,Clip Comparison
,Perspective Correction
,Object Detection Model
,Object Detection Model
,SIFT Comparison
,CogVLM
,Ellipse Visualization
,SIFT
,VLM as Detector
,Image Contours
,Multi-Label Classification Model
,OpenAI
,Absolute Static Crop
,Camera Focus
,Trace Visualization
,CLIP Embedding Model
,Multi-Label Classification Model
,VLM as Detector
,Dot Visualization
,Google Vision OCR
,Clip Comparison
,Polygon Zone Visualization
,Gaze Detection
,Roboflow Dataset Upload
,VLM as Classifier
,Classification Label Visualization
,Corner Visualization
,Llama 3.2 Vision
,Dynamic Crop
,Reference Path Visualization
,Detections Stabilizer
,Label Visualization
,Mask Visualization
,Triangle Visualization
,Template Matching
,Line Counter Visualization
,Dominant Color
,Barcode Detection
,Blur Visualization
,Anthropic Claude
,Instance Segmentation Model
,Time in Zone
,Instance Segmentation Model
,Pixelate Visualization
,OpenAI
,Relative Static Crop
,VLM as Classifier
,Keypoint Detection Model
,Roboflow Dataset Upload
,Google Gemini
,Model Comparison Visualization
,Halo Visualization
,Crop Visualization
,Qwen2.5-VL
,Image Blur
,Circle Visualization
,Buffer
,Keypoint Detection Model
,Image Preprocessing
,Background Color Visualization
,QR Code Detection
,Pixel Color Count
,Florence-2 Model
,Single-Label Classification Model
,Bounding Box Visualization
,Byte Tracker
,Florence-2 Model
,Image Slicer
,LMM For Classification
,Stitch Images
,Stability AI Image Generation
,Image Threshold
,Detections Stitch
,OCR Model
,LMM
,Keypoint Visualization
,Color Visualization
,Single-Label Classification Model
,YOLO-World Model
,Image Convert Grayscale
,Polygon Visualization
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Relative Static Crop
in version v1
has.
Bindings
-
input
images
(image
): The image to infer on..x_center
(float_zero_to_one
): Center X of static crop (relative coordinate 0.0-1.0).y_center
(float_zero_to_one
): Center Y of static crop (relative coordinate 0.0-1.0).width
(float_zero_to_one
): Width of static crop (relative value 0.0-1.0).height
(float_zero_to_one
): Height of static crop (relative value 0.0-1.0).
-
output
crops
(image
): Image in workflows.
Example JSON definition of step Relative Static Crop
in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/relative_statoic_crop@v1",
"images": "$inputs.image",
"x_center": 0.3,
"y_center": 0.3,
"width": 0.3,
"height": 0.3
}