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