Stitch Images¶
Class: StitchImagesBlockV1
Source: inference.core.workflows.core_steps.transformations.stitch_images.v1.StitchImagesBlockV1
This block combines two related scenes both containing fair amount of details. Block is utilizing Scale Invariant Feature Transform (SIFT)
Type identifier¶
Use the following identifier in step "type"
field: roboflow_core/stitch_images@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.. | ❌ |
max_allowed_reprojection_error |
float |
Advanced parameter overwriting cv.findHomography ransacReprojThreshold parameter. Maximum allowed reprojection error to treat a point pair as an inlier. Increasing value of this parameter for low details photo may yield better results.. | ✅ |
count_of_best_matches_per_query_descriptor |
int |
Advanced parameter overwriting cv.BFMatcher.knnMatch k parameter. Count of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.. |
✅ |
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 Stitch Images
in version v1
.
- inputs:
Crop Visualization
,SIFT
,Line Counter
,Line Counter
,Blur Visualization
,Line Counter Visualization
,Color Visualization
,Image Contours
,Camera Focus
,Mask Visualization
,Image Convert Grayscale
,Circle Visualization
,Absolute Static Crop
,Detections Consensus
,Stitch Images
,Trace Visualization
,Image Preprocessing
,Polygon Zone Visualization
,QR Code Generator
,Halo Visualization
,Perspective Correction
,Stability AI Inpainting
,Template Matching
,Label Visualization
,Distance Measurement
,Pixel Color Count
,Stability AI Image Generation
,Triangle Visualization
,Background Color Visualization
,Relative Static Crop
,Corner Visualization
,Icon Visualization
,SIFT Comparison
,Pixelate Visualization
,Image Blur
,Model Comparison Visualization
,Image Threshold
,Reference Path Visualization
,Image Slicer
,Identify Outliers
,Depth Estimation
,Classification Label Visualization
,Polygon Visualization
,Stability AI Outpainting
,Keypoint Visualization
,Dot Visualization
,Grid Visualization
,Bounding Box Visualization
,Camera Calibration
,Ellipse Visualization
,Image Slicer
,SIFT Comparison
,Identify Changes
,Clip Comparison
,Dynamic Crop
- outputs:
QR Code Detection
,Anthropic Claude
,Crop Visualization
,SIFT
,LMM For Classification
,Blur Visualization
,Line Counter Visualization
,Color Visualization
,Image Contours
,Camera Focus
,Mask Visualization
,Image Convert Grayscale
,Google Gemini
,Circle Visualization
,Absolute Static Crop
,VLM as Classifier
,Object Detection Model
,Multi-Label Classification Model
,Keypoint Detection Model
,Stitch Images
,Trace Visualization
,Image Preprocessing
,Qwen2.5-VL
,OCR Model
,Object Detection Model
,Clip Comparison
,SmolVLM2
,Polygon Zone Visualization
,LMM
,YOLO-World Model
,Halo Visualization
,CLIP Embedding Model
,Florence-2 Model
,Moondream2
,Perspective Correction
,Stability AI Inpainting
,Buffer
,Template Matching
,Label Visualization
,VLM as Detector
,Pixel Color Count
,Segment Anything 2 Model
,Perception Encoder Embedding Model
,Stability AI Image Generation
,Keypoint Detection Model
,Triangle Visualization
,Background Color Visualization
,Relative Static Crop
,Detections Stabilizer
,Corner Visualization
,Multi-Label Classification Model
,Icon Visualization
,Pixelate Visualization
,Image Blur
,Gaze Detection
,Model Comparison Visualization
,VLM as Detector
,Llama 3.2 Vision
,Time in Zone
,Instance Segmentation Model
,Image Threshold
,VLM as Classifier
,Google Vision OCR
,Reference Path Visualization
,Image Slicer
,Roboflow Dataset Upload
,CogVLM
,Byte Tracker
,Barcode Detection
,Depth Estimation
,Roboflow Dataset Upload
,Single-Label Classification Model
,OpenAI
,Classification Label Visualization
,Polygon Visualization
,Stability AI Outpainting
,Keypoint Visualization
,Dot Visualization
,OpenAI
,Single-Label Classification Model
,Bounding Box Visualization
,Camera Calibration
,Ellipse Visualization
,OpenAI
,Florence-2 Model
,Image Slicer
,Instance Segmentation Model
,SIFT Comparison
,Detections Stitch
,Dominant Color
,Clip Comparison
,Dynamic Crop
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Stitch Images
in version v1
has.
Bindings
-
input
image1
(image
): First input image for this step..image2
(image
): Second input image for this step..max_allowed_reprojection_error
(float_zero_to_one
): Advanced parameter overwriting cv.findHomography ransacReprojThreshold parameter. Maximum allowed reprojection error to treat a point pair as an inlier. Increasing value of this parameter for low details photo may yield better results..count_of_best_matches_per_query_descriptor
(integer
): Advanced parameter overwriting cv.BFMatcher.knnMatchk
parameter. Count of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total..
-
output
stitched_image
(image
): Image in workflows.
Example JSON definition of step Stitch Images
in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/stitch_images@v1",
"image1": "$inputs.image1",
"image2": "$inputs.image2",
"max_allowed_reprojection_error": 3,
"count_of_best_matches_per_query_descriptor": 2
}