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:
Depth Estimation
,Classification Label Visualization
,Camera Calibration
,Clip Comparison
,Line Counter
,Stitch Images
,Image Slicer
,Absolute Static Crop
,Distance Measurement
,SIFT Comparison
,Label Visualization
,Bounding Box Visualization
,Model Comparison Visualization
,Pixel Color Count
,Detections Consensus
,Grid Visualization
,Image Convert Grayscale
,Halo Visualization
,Triangle Visualization
,Reference Path Visualization
,Perspective Correction
,Dynamic Crop
,Camera Focus
,Identify Changes
,Stability AI Image Generation
,Ellipse Visualization
,SIFT
,Blur Visualization
,Circle Visualization
,Dot Visualization
,Image Blur
,Background Color Visualization
,Color Visualization
,Pixelate Visualization
,Identify Outliers
,Stability AI Inpainting
,Polygon Zone Visualization
,Relative Static Crop
,Keypoint Visualization
,Template Matching
,Mask Visualization
,Image Preprocessing
,Line Counter Visualization
,SIFT Comparison
,Trace Visualization
,Corner Visualization
,Polygon Visualization
,Crop Visualization
,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
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
}