Advanced Visualization with CVZone

Dive deeper into CVZone's capabilities and learn how to annotate images for better pose analysis insights.

Advanced Visualization with CVZone

Enhancing visual feedback is essential, especially when working with posture detection. With CVZone’s utilities like putText, you can overlay important information onto your video stream, providing real-time feedback and insights.

Annotating with Text

CVZone offers a putText function similar to OpenCV’s, but with an easier interface. Let’s explore how to use it:

1. Basic Text Annotation:

   With CVZone, you can effortlessly overlay text on images or video frames:

   from cvzone.Utils import putText
   img = putText(img, "Detected Posture", [50, 50])
   

   This adds the text “Detected Posture” at the coordinate (50, 50) on the image.

2. Displaying Dynamic Data:

   Annotate the image with real-time, dynamic data, such as the angle between specific landmarks:

   angle, img = detector.findAngle(lmList[11][0:2], lmList[13][0:2], lmList[15][0:2], img=img)
   img = putText(img, f"Angle: {angle:.2f}°", [50, 80])
   

Enhancing Visualization

Now, let’s build on our previous code to make it more sophisticated with added visualizations:

from cvzone.PoseModule import PoseDetector
from cvzone.Utils import putText
import cv2

cap = cv2.VideoCapture(0)
detector = PoseDetector()

while True:
    success, img = cap.read()
    img = detector.findPose(img)
    lmList, _ = detector.findPosition(img, draw=False)

    if lmList:
        angle, img = detector.findAngle(lmList[11][0:2], lmList[13][0:2], lmList[15][0:2], img=img)
        img = putText(img, f"Angle: {angle:.2f}°", [50, 80], fontSize=1, color=(255, 0, 255))

        # Check posture and provide real-time feedback
        if angle > 50:
            feedback = "Poor Posture!"
            img = putText(img, feedback, [50, 120], fontSize=1.2, color=(0, 0, 255))
        else:
            feedback = "Good Posture!"
            img = putText(img, feedback, [50, 120], fontSize=1.2, color=(0, 255, 0))

    cv2.imshow("Image", img)
    cv2.waitKey(1)

Further Exploration

• Custom Annotations: Experiment with different text positions, sizes, and colors to make the feedback more intuitive.

• Interactive Feedback: Use CVZone’s functionalities to draw shapes, lines, or even custom animations to make your application more interactive.

• Integration: Think about integrating the posture detection system with other applications or even using it as an input method (e.g., a game controlled by your posture).

By leveraging CVZone’s comprehensive utilities, you can transform basic detection code into an informative, interactive, and user-friendly application.

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