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