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