Camera Focus

Class: CameraFocusBlockV1

Source: inference.core.workflows.core_steps.classical_cv.camera_focus.v1.CameraFocusBlockV1

This block calculate the Brenner function score which is a measure of the texture in the image. An in-focus image has a high Brenner function score, and contains texture at a smaller scale than an out-of-focus image. Conversely, an out-of-focus image has a low Brenner function score, and does not contain small-scale texture.

Type identifier

Use the following identifier in step "type" field: roboflow_core/camera_focus@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌

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 Camera Focus in version v1.

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

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Camera Focus in version v1 has.

Bindings

• input

  • image (image): The input image for this step..

• output

  • image (image): Image in workflows.
  • focus_measure (float): Float value.

Example JSON definition of step Camera Focus in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/camera_focus@v1",
    "image": "$inputs.image"
}