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:
Stability AI Outpainting
,Image Slicer
,SIFT
,Depth Estimation
,Pixelate Visualization
,Image Threshold
,Blur Visualization
,Dynamic Crop
,Line Counter Visualization
,Crop Visualization
,Image Contours
,Image Slicer
,Image Blur
,Camera Calibration
,Contrast Equalization
,Grid Visualization
,Detections Consensus
,Morphological Transformation
,SIFT Comparison
,Polygon Visualization
,Dot Visualization
,Classification Label Visualization
,Stitch Images
,Identify Changes
,Background Color Visualization
,Keypoint Visualization
,Absolute Static Crop
,Stability AI Image Generation
,Perspective Correction
,Corner Visualization
,Polygon Zone Visualization
,Halo Visualization
,Mask Visualization
,Trace Visualization
,Image Convert Grayscale
,QR Code Generator
,Circle Visualization
,Camera Focus
,Icon Visualization
,Color Visualization
,Triangle Visualization
,Clip Comparison
,Identify Outliers
,Stability AI Inpainting
,Bounding Box Visualization
,Ellipse Visualization
,Image Preprocessing
,Model Comparison Visualization
,Label Visualization
,Reference Path Visualization
,Relative Static Crop
- outputs:
Stability AI Outpainting
,VLM as Classifier
,CogVLM
,Image Slicer
,Clip Comparison
,Pixelate Visualization
,Image Threshold
,Blur Visualization
,SmolVLM2
,VLM as Classifier
,Image Slicer
,Moondream2
,Image Blur
,Camera Calibration
,Morphological Transformation
,OpenAI
,Polygon Visualization
,Single-Label Classification Model
,Dot Visualization
,Florence-2 Model
,Single-Label Classification Model
,Background Color Visualization
,VLM as Detector
,Stability AI Image Generation
,Multi-Label Classification Model
,Roboflow Dataset Upload
,Corner Visualization
,Halo Visualization
,Mask Visualization
,Trace Visualization
,OCR Model
,Camera Focus
,Qwen2.5-VL
,Color Visualization
,Clip Comparison
,Relative Static Crop
,LMM
,Detections Stitch
,Ellipse Visualization
,Instance Segmentation Model
,Reference Path Visualization
,Model Comparison Visualization
,Object Detection Model
,Triangle Visualization
,Anthropic Claude
,Template Matching
,Image Preprocessing
,Keypoint Detection Model
,SIFT
,Depth Estimation
,Gaze Detection
,Line Counter Visualization
,Dynamic Crop
,VLM as Detector
,Crop Visualization
,Image Contours
,Multi-Label Classification Model
,Segment Anything 2 Model
,Contrast Equalization
,Perception Encoder Embedding Model
,QR Code Detection
,Instance Segmentation Model
,Google Vision OCR
,Time in Zone
,OpenAI
,SIFT Comparison
,Barcode Detection
,Classification Label Visualization
,CLIP Embedding Model
,Roboflow Dataset Upload
,Stitch Images
,OpenAI
,Keypoint Visualization
,Absolute Static Crop
,Perspective Correction
,Pixel Color Count
,Polygon Zone Visualization
,Keypoint Detection Model
,Llama 3.2 Vision
,YOLO-World Model
,Image Convert Grayscale
,Detections Stabilizer
,Circle Visualization
,Icon Visualization
,Object Detection Model
,Stability AI Inpainting
,Florence-2 Model
,Bounding Box Visualization
,LMM For Classification
,Dominant Color
,EasyOCR
,Label Visualization
,Byte Tracker
,Google Gemini
,Buffer
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
}