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@v1
to 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:
Blur Visualization
,Triangle Visualization
,Anthropic Claude
,Trace Visualization
,Label Visualization
,Distance Measurement
,LMM
,Model Monitoring Inference Aggregator
,Roboflow Dataset Upload
,Pixel Color Count
,Absolute Static Crop
,Image Preprocessing
,Relative Static Crop
,Image Threshold
,Reference Path Visualization
,Slack Notification
,Stability AI Outpainting
,SIFT
,Roboflow Dataset Upload
,Google Vision OCR
,Stability AI Inpainting
,Background Color Visualization
,CSV Formatter
,Circle Visualization
,Image Blur
,Keypoint Visualization
,VLM as Detector
,SIFT Comparison
,Google Gemini
,Image Convert Grayscale
,OpenAI
,Line Counter Visualization
,Model Comparison Visualization
,Roboflow Custom Metadata
,Image Slicer
,Line Counter
,Crop Visualization
,Corner Visualization
,Stitch OCR Detections
,Multi-Label Classification Model
,Pixelate Visualization
,Local File Sink
,Image Slicer
,Mask Visualization
,VLM as Classifier
,Color Visualization
,Clip Comparison
,Polygon Visualization
,Email Notification
,Keypoint Detection Model
,Perspective Correction
,Camera Calibration
,OpenAI
,Bounding Box Visualization
,Camera Focus
,CogVLM
,Instance Segmentation Model
,Twilio SMS Notification
,OpenAI
,Dynamic Crop
,Depth Estimation
,Halo Visualization
,Florence-2 Model
,Dot Visualization
,Template Matching
,Classification Label Visualization
,Webhook Sink
,SIFT Comparison
,Stability AI Image Generation
,Florence-2 Model
,LMM For Classification
,Ellipse Visualization
,Image Contours
,Llama 3.2 Vision
,Line Counter
,Single-Label Classification Model
,Grid Visualization
,Stitch Images
,OCR Model
,Object Detection Model
,Polygon Zone Visualization
- outputs:
Blur Visualization
,Anthropic Claude
,Triangle Visualization
,Dominant Color
,YOLO-World Model
,Trace Visualization
,Label Visualization
,LMM
,Roboflow Dataset Upload
,Time in Zone
,Pixel Color Count
,Absolute Static Crop
,Image Preprocessing
,Keypoint Detection Model
,Relative Static Crop
,Image Threshold
,Reference Path Visualization
,Segment Anything 2 Model
,QR Code Detection
,Stability AI Outpainting
,SIFT
,Instance Segmentation Model
,Roboflow Dataset Upload
,Google Vision OCR
,Stability AI Inpainting
,Background Color Visualization
,Detections Stabilizer
,Keypoint Visualization
,Circle Visualization
,Image Blur
,VLM as Detector
,Google Gemini
,OpenAI
,Image Convert Grayscale
,Line Counter Visualization
,Multi-Label Classification Model
,Model Comparison Visualization
,Perception Encoder Embedding Model
,Image Slicer
,Crop Visualization
,Corner Visualization
,VLM as Classifier
,Multi-Label Classification Model
,Pixelate Visualization
,Image Slicer
,Mask Visualization
,VLM as Classifier
,Clip Comparison
,Color Visualization
,Qwen2.5-VL
,Polygon Visualization
,Keypoint Detection Model
,Single-Label Classification Model
,Gaze Detection
,Perspective Correction
,Moondream2
,Camera Calibration
,OpenAI
,Bounding Box Visualization
,Barcode Detection
,Buffer
,Camera Focus
,SmolVLM2
,CogVLM
,Instance Segmentation Model
,Detections Stitch
,OpenAI
,Dynamic Crop
,Halo Visualization
,Depth Estimation
,Florence-2 Model
,Dot Visualization
,Template Matching
,Classification Label Visualization
,SIFT Comparison
,Stability AI Image Generation
,Florence-2 Model
,VLM as Detector
,LMM For Classification
,Object Detection Model
,Ellipse Visualization
,Llama 3.2 Vision
,Image Contours
,Clip Comparison
,Single-Label Classification Model
,Stitch Images
,OCR Model
,CLIP Embedding Model
,Byte Tracker
,Object Detection Model
,Polygon Zone 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"
}