Absolute Static Crop¶
Class: AbsoluteStaticCropBlockV1
Crop a Region of Interest (RoI) from an image, using absolute 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 AbsoluteStaticCrop 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/absolute_static_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 |
int |
Center X of static crop (absolute coordinate). | ✅ |
y_center |
int |
Center Y of static crop (absolute coordinate). | ✅ |
width |
int |
Width of static crop (absolute value). | ✅ |
height |
int |
Height of static crop (absolute value). | ✅ |
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 Absolute Static Crop
in version v1
.
- inputs:
Image Slicer
,Stability AI Inpainting
,Pixelate Visualization
,Perspective Correction
,Relative Static Crop
,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
,Distance Measurement
,Circle Visualization
,Image Preprocessing
,Background Color Visualization
,Dot Visualization
,Polygon Zone Visualization
,Pixel Color Count
,Classification Label Visualization
,Bounding Box Visualization
,Corner Visualization
,Image Slicer
,Dynamic Crop
,Reference Path Visualization
,Line Counter
,Label Visualization
,Mask Visualization
,Stitch Images
,Triangle Visualization
,Stability AI Image Generation
,Image Threshold
,Line Counter Visualization
,Template Matching
,Keypoint Visualization
,Color Visualization
,Blur Visualization
,Line Counter
,SIFT Comparison
,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
Absolute Static Crop
in version v1
has.
Bindings
-
input
-
output
crops
(image
): Image in workflows.
Example JSON definition of step Absolute Static Crop
in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/absolute_static_crop@v1",
"images": "$inputs.image",
"x_center": 40,
"y_center": 40,
"width": 40,
"height": 40
}