QR Code Detection¶
Version v1¶
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@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
The unique name of 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¶
Check what blocks you can connect to QR Code Detection in version v1.
- inputs:
Triangle Visualization,Image Blur,Image Preprocessing,Line Counter Visualization,Keypoint Visualization,Blur Visualization,Mask Visualization,Background Color Visualization,Model Comparison Visualization,Ellipse Visualization,Pixelate Visualization,Corner Visualization,Camera Focus,Reference Path Visualization,Relative Static Crop,Image Contours,Image Convert Grayscale,Crop Visualization,Stitch Images,Label Visualization,Polygon Visualization,Stability AI Inpainting,Dynamic Crop,Trace Visualization,Polygon Zone Visualization,SIFT,Image Threshold,Color Visualization,Image Slicer,Perspective Correction,Absolute Static Crop,Bounding Box Visualization,Halo Visualization,SIFT Comparison,Circle Visualization,Dot Visualization - outputs: None
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"
}