Image Convert Grayscale¶
Class: ConvertGrayscaleBlockV1
Source: inference.core.workflows.core_steps.classical_cv.convert_grayscale.v1.ConvertGrayscaleBlockV1
Block to convert an RGB image to grayscale. The output image will have only one channel.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/convert_grayscale@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 Image Convert Grayscale in version v1.
- inputs:
Dot Visualization,Stability AI Inpainting,Reference Path Visualization,SIFT,Halo Visualization,Image Convert Grayscale,Stability AI Outpainting,QR Code Generator,Triangle Visualization,Depth Estimation,Image Contours,Line Counter Visualization,Mask Visualization,Image Slicer,Ellipse Visualization,Model Comparison Visualization,Polygon Visualization,Background Color Visualization,Polygon Zone Visualization,Corner Visualization,Crop Visualization,Stitch Images,Contrast Equalization,Blur Visualization,Dynamic Crop,Image Slicer,Camera Focus,Color Visualization,Classification Label Visualization,Label Visualization,Circle Visualization,Image Threshold,SIFT Comparison,Keypoint Visualization,Camera Calibration,Trace Visualization,Image Preprocessing,Morphological Transformation,Icon Visualization,Perspective Correction,Bounding Box Visualization,Absolute Static Crop,Grid Visualization,Pixelate Visualization,Image Blur,Relative Static Crop,Stability AI Image Generation - outputs:
Barcode Detection,Dot Visualization,Stability AI Inpainting,Reference Path Visualization,VLM as Classifier,CLIP Embedding Model,Object Detection Model,VLM as Classifier,Stability AI Outpainting,Perception Encoder Embedding Model,Multi-Label Classification Model,Line Counter Visualization,Ellipse Visualization,Polygon Zone Visualization,Background Color Visualization,Roboflow Dataset Upload,Contrast Equalization,EasyOCR,Object Detection Model,Image Slicer,Qwen2.5-VL,Google Gemini,Byte Tracker,Florence-2 Model,Gaze Detection,Google Vision OCR,Image Threshold,SIFT Comparison,Image Preprocessing,Icon Visualization,OCR Model,YOLO-World Model,Roboflow Dataset Upload,Clip Comparison,Absolute Static Crop,Pixelate Visualization,Buffer,Image Blur,Relative Static Crop,Perspective Correction,Florence-2 Model,Pixel Color Count,VLM as Detector,Single-Label Classification Model,LMM For Classification,Llama 3.2 Vision,Detections Stitch,LMM,Clip Comparison,SIFT,Multi-Label Classification Model,Halo Visualization,SmolVLM2,Image Convert Grayscale,Anthropic Claude,Triangle Visualization,Mask Visualization,Depth Estimation,Keypoint Detection Model,Image Contours,Image Slicer,CogVLM,Model Comparison Visualization,Template Matching,Time in Zone,QR Code Detection,Single-Label Classification Model,Moondream2,Polygon Visualization,Corner Visualization,Crop Visualization,Stitch Images,Blur Visualization,Keypoint Detection Model,Dynamic Crop,Detections Stabilizer,Instance Segmentation Model,OpenAI,Segment Anything 2 Model,Camera Focus,VLM as Detector,Color Visualization,Classification Label Visualization,Label Visualization,OpenAI,Circle Visualization,Keypoint Visualization,Trace Visualization,Camera Calibration,Instance Segmentation Model,Morphological Transformation,OpenAI,Bounding Box Visualization,Dominant Color,Seg Preview,Stability AI Image Generation
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Image Convert Grayscale in version v1 has.
Bindings
Example JSON definition of step Image Convert Grayscale in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/convert_grayscale@v1",
"image": "$inputs.image"
}