pi vision lib
Project description
🏷️ upicvision
📸 Overview
The TagDetector class is a powerful 🚀 real-time AprilTag detection system that transforms your camera into a smart tag recognition device!
🎯 Key Features:
- 📷 Real-time Detection: Lightning-fast AprilTag identification using OpenCV and AprilTag libraries
- 🎮 Easy Control: Simple start, stop, pause, and resume operations
- ⚙️ Flexible Configuration: Customizable camera settings and resolution scaling
- 🔧 Resource Management: Smart camera initialization and cleanup
- 🎪 Thread-Safe: Built-in threading support for smooth performance
Perfect for robotics 🤖, augmented reality 🥽, and computer vision applications!
🚀 Quick Start Guide
🔧 Initialization
from upic import TagDetector
# 🎬 Create your detector with custom settings
detector = TagDetector(cam_id=0, resolution_multiplier=0.75)
📹 Camera Operations
# 🟢 Start the magic - open camera and begin detection
detector.open_camera().apriltag_detect_start()
# ⏸️ Pause detection temporarily (camera stays active)
detector.halt_detection()
# ▶️ Resume detection when ready
detector.resume_detection()
# 🔴 Clean shutdown - release camera resources
detector.release_camera()
🏷️ Getting the Detected Tag
# 🔍 Check what tag is currently detected
current_tag_id = detector.tag_id
print(f"🎯 Current Tag ID: {current_tag_id}")
💡 Complete Working Example
from upic import TagDetector
# 🚀 Initialize the detector
detector = TagDetector(cam_id=0, resolution_multiplier=0.75)
# 🎬 Start detection
detector.open_camera().apriltag_detect_start()
# 🎮 Control detection as needed
detector.halt_detection() # ⏸️ Pause
detector.resume_detection() # ▶️ Resume
# 🔍 Get the detected tag
current_tag_id = detector.tag_id
print(f"🎯 Detected Tag ID: {current_tag_id}")
# 🧹 Clean up when finished
detector.release_camera()
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