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