Text Detection
This function block is used to identify and locate text within images using a deep learning model. It processes the input image and provides outputs indicating where text is detected.
π₯ Inputs
Image Any
The input image in which text needs to be detected.
π€ Outputs
Image Any
The modified image with detected text locations highlighted.
Referance Point
The coordinates of the reference point for each detected text box.
Referance Rectangles
The coordinates of the rectangles bounding each detected text area.
Number of Detected Text
The total number of text areas detected in the input image.
πΉοΈ Controls
Confidence
A slider to set the confidence threshold for text detection. Higher confidence values lead to stricter detection criteria.
NMS Threshold
A slider to adjust the Non-Maximum Suppression (NMS) threshold, which helps filter out overlapping bounding boxes.
π¨ Features
Deep Learning Model
Utilizes a pre-trained deep learning model for robust text detection.
Real-time Feedback
Adjusting controls allows users to modify detection settings in real time, improving detection results based on the input images.
π Usage Instructions
Input Image: Connect an image source to the
Image Any
input.Adjust Detection Settings: Use the
Confidence
andNMS Threshold
sliders to configure the detection parameters.Run the Block: Execute the block to perform text detection. The output image will highlight detected text areas along with their reference points and the quantity of detected text.
π Evaluation
Upon evaluation, this function block processes the input image to detect text and outputs a modified image with detected text highlighted, as well as additional information such as reference points, rectangles, and the count of detected text areas.
π‘ Tips and Tricks
π οΈ Troubleshooting
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