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

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"
}