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

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.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..

• 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
}