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