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