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@v1to 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:
Image Slicer,Stability AI Inpainting,Clip Comparison,Perspective Correction,SIFT Comparison,Grid Visualization,Ellipse Visualization,SIFT,Image Contours,Absolute Static Crop,Camera Focus,Trace Visualization,Dot Visualization,Identify Changes,Polygon Zone Visualization,Identify Outliers,Classification Label Visualization,Corner Visualization,Dynamic Crop,Reference Path Visualization,Line Counter,Label Visualization,Mask Visualization,Triangle Visualization,Line Counter Visualization,Template Matching,Blur Visualization,Line Counter,SIFT Comparison,Pixelate Visualization,Relative Static Crop,Detections Consensus,Model Comparison Visualization,Halo Visualization,Crop Visualization,Image Blur,Distance Measurement,Circle Visualization,Image Preprocessing,Background Color Visualization,Pixel Color Count,Bounding Box Visualization,Image Slicer,Stitch Images,Stability AI Image Generation,Image Threshold,Keypoint Visualization,Color Visualization,Image Convert Grayscale,Polygon Visualization - outputs:
Segment Anything 2 Model,Image Slicer,Stability AI Inpainting,Clip Comparison,Perspective Correction,Object Detection Model,Object Detection Model,SIFT Comparison,CogVLM,Ellipse Visualization,SIFT,VLM as Detector,Image Contours,Multi-Label Classification Model,OpenAI,Absolute Static Crop,Camera Focus,Trace Visualization,CLIP Embedding Model,Multi-Label Classification Model,VLM as Detector,Dot Visualization,Google Vision OCR,Clip Comparison,Polygon Zone Visualization,Gaze Detection,Roboflow Dataset Upload,VLM as Classifier,Classification Label Visualization,Corner Visualization,Llama 3.2 Vision,Dynamic Crop,Reference Path Visualization,Detections Stabilizer,Label Visualization,Mask Visualization,Triangle Visualization,Template Matching,Line Counter Visualization,Dominant Color,Barcode Detection,Blur Visualization,Anthropic Claude,Instance Segmentation Model,Time in Zone,Instance Segmentation Model,Pixelate Visualization,OpenAI,Relative Static Crop,VLM as Classifier,Keypoint Detection Model,Roboflow Dataset Upload,Google Gemini,Model Comparison Visualization,Halo Visualization,Crop Visualization,Qwen2.5-VL,Image Blur,Circle Visualization,Buffer,Keypoint Detection Model,Image Preprocessing,Background Color Visualization,QR Code Detection,Pixel Color Count,Florence-2 Model,Single-Label Classification Model,Bounding Box Visualization,Byte Tracker,Florence-2 Model,Image Slicer,LMM For Classification,Stitch Images,Stability AI Image Generation,Image Threshold,Detections Stitch,OCR Model,LMM,Keypoint Visualization,Color Visualization,Single-Label Classification Model,YOLO-World Model,Image Convert Grayscale,Polygon Visualization
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.knnMatchkparameter. 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
}