QR Code Detection¶
Class: QRCodeDetectorBlockV1
Source: inference.core.workflows.core_steps.models.third_party.qr_code_detection.v1.QRCodeDetectorBlockV1
Detect the location of a QR code.
This block is useful for manufacturing and consumer packaged goods projects where you need to detect a QR code region in an image. You can then apply Crop block to isolate each QR code then apply further processing (i.e. read a QR code with a custom block).
Type identifier¶
Use the following identifier in step "type"
field: roboflow_core/qr_code_detector@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.. | ❌ |
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 QR Code Detection
in version v1
.
- inputs:
Color Visualization
,Dynamic Crop
,Camera Calibration
,Blur Visualization
,Background Color Visualization
,Absolute Static Crop
,Image Blur
,Image Slicer
,Image Contours
,Image Slicer
,Camera Focus
,Classification Label Visualization
,Dot Visualization
,Triangle Visualization
,Stability AI Inpainting
,SIFT Comparison
,Bounding Box Visualization
,Stitch Images
,Pixelate Visualization
,Mask Visualization
,SIFT
,Model Comparison Visualization
,Line Counter Visualization
,Corner Visualization
,Stability AI Image Generation
,Perspective Correction
,Halo Visualization
,Image Convert Grayscale
,Polygon Zone Visualization
,Trace Visualization
,Image Preprocessing
,Keypoint Visualization
,Reference Path Visualization
,Relative Static Crop
,Ellipse Visualization
,Label Visualization
,Circle Visualization
,Image Threshold
,Polygon Visualization
,Grid Visualization
,Crop Visualization
- outputs: None
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
QR Code Detection
in version v1
has.
Bindings
-
input
images
(image
): The image to infer on..
-
output
predictions
(qr_code_detection
): Prediction with QR code detection.
Example JSON definition of step QR Code Detection
in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/qr_code_detector@v1",
"images": "$inputs.image"
}