Image Preprocessing¶
Class: ImagePreprocessingBlockV1
Source: inference.core.workflows.core_steps.classical_cv.image_preprocessing.v1.ImagePreprocessingBlockV1
Apply a resize, flip, or rotation step to an image.
Width and height are required for resizing. Degrees are required for rotating. Flip type is required for flipping.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/image_preprocessing@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
task_type |
str |
Preprocessing task to be applied to the image.. | ❌ |
width |
int |
Width of the image to be resized to.. | ✅ |
height |
int |
Height of the image to be resized to.. | ✅ |
rotation_degrees |
int |
Positive value to rotate clockwise, negative value to rotate counterclockwise. | ✅ |
flip_type |
str |
Type of flip to be applied to the image.. | ✅ |
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 Preprocessing in version v1.
- inputs:
Image Slicer,Stability AI Inpainting,Clip Comparison,Perspective Correction,Object Detection Model,Roboflow Custom Metadata,SIFT Comparison,Grid Visualization,Ellipse Visualization,SIFT,CogVLM,VLM as Detector,Image Contours,OpenAI,Absolute Static Crop,Camera Focus,Trace Visualization,Multi-Label Classification Model,Dot Visualization,Google Vision OCR,Polygon Zone Visualization,Roboflow Dataset Upload,Classification Label Visualization,Corner Visualization,Llama 3.2 Vision,Dynamic Crop,Reference Path Visualization,Line Counter,Label Visualization,Mask Visualization,Triangle Visualization,Line Counter Visualization,Template Matching,Model Monitoring Inference Aggregator,Blur Visualization,Line Counter,Anthropic Claude,Webhook Sink,SIFT Comparison,Instance Segmentation Model,Slack Notification,Stitch OCR Detections,Pixelate Visualization,OpenAI,Relative Static Crop,Twilio SMS Notification,VLM as Classifier,Roboflow Dataset Upload,Google Gemini,Model Comparison Visualization,Halo Visualization,Crop Visualization,Image Blur,Distance Measurement,Circle Visualization,Keypoint Detection Model,Image Preprocessing,Background Color Visualization,Pixel Color Count,Florence-2 Model,Bounding Box Visualization,Florence-2 Model,Local File Sink,Image Slicer,LMM For Classification,Stitch Images,Stability AI Image Generation,Image Threshold,OCR Model,LMM,Keypoint Visualization,Email Notification,Color Visualization,Single-Label Classification Model,CSV Formatter,Image Convert Grayscale,Polygon Visualization - outputs:
Segment Anything 2 Model,Image Slicer,Stability AI Inpainting,Clip Comparison,Perspective Correction,Object Detection Model,Object Detection Model,SIFT Comparison,CogVLM,Ellipse Visualization,SIFT,VLM as Detector,Image Contours,Multi-Label Classification Model,OpenAI,Absolute Static Crop,Camera Focus,Trace Visualization,CLIP Embedding Model,Multi-Label Classification Model,VLM as Detector,Dot Visualization,Google Vision OCR,Clip Comparison,Polygon Zone Visualization,Gaze Detection,Roboflow Dataset Upload,VLM as Classifier,Classification Label Visualization,Corner Visualization,Llama 3.2 Vision,Dynamic Crop,Reference Path Visualization,Detections Stabilizer,Label Visualization,Mask Visualization,Triangle Visualization,Template Matching,Line Counter Visualization,Dominant Color,Barcode Detection,Blur Visualization,Anthropic Claude,Instance Segmentation Model,Time in Zone,Instance Segmentation Model,Pixelate Visualization,OpenAI,Relative Static Crop,VLM as Classifier,Keypoint Detection Model,Roboflow Dataset Upload,Google Gemini,Model Comparison Visualization,Halo Visualization,Crop Visualization,Qwen2.5-VL,Image Blur,Circle Visualization,Buffer,Keypoint Detection Model,Image Preprocessing,Background Color Visualization,QR Code Detection,Pixel Color Count,Florence-2 Model,Single-Label Classification Model,Bounding Box Visualization,Byte Tracker,Florence-2 Model,Image Slicer,LMM For Classification,Stitch Images,Stability AI Image Generation,Image Threshold,Detections Stitch,OCR Model,LMM,Keypoint Visualization,Color Visualization,Single-Label Classification Model,YOLO-World Model,Image Convert Grayscale,Polygon Visualization
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Image Preprocessing in version v1 has.
Bindings
-
input
image(image): The input image for this step..width(integer): Width of the image to be resized to..height(integer): Height of the image to be resized to..rotation_degrees(integer): Positive value to rotate clockwise, negative value to rotate counterclockwise.flip_type(string): Type of flip to be applied to the image..
-
output
image(image): Image in workflows.
Example JSON definition of step Image Preprocessing in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/image_preprocessing@v1",
"image": "$inputs.image",
"task_type": "<block_does_not_provide_example>",
"width": 640,
"height": 640,
"rotation_degrees": 90,
"flip_type": "vertical"
}