Absolute Static Crop

Class: AbsoluteStaticCropBlockV1

Source: inference.core.workflows.core_steps.transformations.absolute_static_crop.v1.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@v1to 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: Stability AI Outpainting, Image Slicer, SIFT, Depth Estimation, Pixelate Visualization, SIFT Comparison, Image Threshold, Blur Visualization, Dynamic Crop, Line Counter Visualization, Crop Visualization, Image Contours, Image Slicer, Image Blur, Camera Calibration, Contrast Equalization, Grid Visualization, Morphological Transformation, SIFT Comparison, Line Counter, Polygon Visualization, Dot Visualization, Classification Label Visualization, Stitch Images, Background Color Visualization, Distance Measurement, Keypoint Visualization, Absolute Static Crop, Stability AI Image Generation, Perspective Correction, Pixel Color Count, Corner Visualization, Line Counter, 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, Stability AI Inpainting, Bounding Box Visualization, Ellipse Visualization, Image Preprocessing, Model Comparison Visualization, Label Visualization, Reference Path Visualization, Relative Static Crop, Template Matching
• 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 Absolute Static Crop in version v1 has.

Bindings

• input

  • images (image): The image to infer on..
  • x_center (integer): Center X of static crop (absolute coordinate).
  • y_center (integer): Center Y of static crop (absolute coordinate).
  • width (integer): Width of static crop (absolute value).
  • height (integer): Height of static crop (absolute value).

• 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
}