105800 Views
82496 Views
47243 Views
47066 Views
45458 Views
38527 Views
Pi-Apps
Intermediate MicroPython
Arduino Alvik
Raspberry Pi Time machine
Now Ad-Free
Guiding Light
Intermediate level MicroPython
Introduction to FreeCAD for Beginners
Building a Robot Arm with Raspberry Pi and PCA9685
Building User Authentication for Static Sites with FastAPI
Mastering Pydantic for Robust Data Validation
Mastering Markdown for Documentation with Jekyll
KevsRobots Learning Platform
100% Percent Complete
By Kevin McAleer, 2 Minutes
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.
putText
CVZone offers a putText function similar to OpenCV’s, but with an easier interface. Let’s explore how to use it:
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.
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])
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)
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.
< Previous