Face Detection
This function block allows users to detect faces within an input image using a trained face detection model. It provides outputs such as the modified image with detected faces highlighted, their coordinates, and the total count of detected faces.
π₯ Inputs
Image Any
The input must be an image in which faces need to be detected.
π€ Outputs
Image Any
The output image with detected faces highlighted.
Face Area Coordinates
The coordinates of the areas where faces have been detected.
Face Count
An output indicating the total number of faces detected in the image.
πΉοΈ Controls
Confidence Threshold %
A slider that allows you to set the confidence level for face detection. Increasing this threshold may result in fewer but more confident detections.
π¨ Features
Real-time Face Detection
The block processes the input image to identify and highlight faces dynamically.
Confidence Level Adjustment
Users can fine-tune the detection sensitivity by adjusting the confidence threshold.
Output Summary
Provides both qualitative (highlighted image) and quantitative (coordinates and count) results of the detection process.
π Usage Instructions
Input Image: Connect an image source containing the faces you want to detect to the input socket.
Set Confidence Level: Use the
Confidence Threshold %
slider to adjust the sensitivity of the face detection.Evaluate: Run the block to perform face detection on the input image. The result will include the modified image, coordinates of detected faces, and the total count.
π Evaluation
The block outputs a new image marked with detected face locations, alongside coordinates and a count of the detected faces within the provided input image.
π‘ Tips and Tricks
π οΈ Troubleshooting
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