update tracker
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7 changed files with 1405 additions and 84 deletions
190
test_detection_tracking.py
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190
test_detection_tracking.py
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#!/usr/bin/env python3
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"""
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Test script for the refactored detection and tracking functionality.
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"""
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import os
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import sys
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import cv2
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import numpy as np
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import logging
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from pathlib import Path
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# Add the project root to Python path
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sys.path.insert(0, str(Path(__file__).parent))
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from siwatsystem.pympta import run_detection_with_tracking, load_pipeline_from_zip
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# Set up logging
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logging.basicConfig(
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level=logging.DEBUG,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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def create_test_frame():
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"""Create a simple test frame for detection testing."""
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frame = np.zeros((480, 640, 3), dtype=np.uint8)
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# Add some simple shapes to simulate objects
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cv2.rectangle(frame, (50, 50), (200, 150), (255, 0, 0), -1) # Blue rectangle
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cv2.rectangle(frame, (300, 200), (450, 350), (0, 255, 0), -1) # Green rectangle
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cv2.putText(frame, "Test Frame", (250, 400), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2)
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return frame
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def test_detection_function():
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"""Test the structured detection function with mock data."""
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logger.info("Testing run_detection_with_tracking function...")
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# Create test frame
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test_frame = create_test_frame()
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# Mock node configuration (simulating what would come from an MPTA file)
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mock_node = {
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"modelId": "test_detection_v1",
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"triggerClasses": ["car", "person"],
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"triggerClassIndices": [0, 1],
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"minConfidence": 0.5,
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"multiClass": False,
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"expectedClasses": [],
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"tracking": {
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"enabled": True,
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"reidConfigPath": "botsort.yaml"
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}
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}
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# Mock context
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test_context = {
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"display_id": "test-display-001",
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"camera_id": "test-cam-001"
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}
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logger.info("Mock node configuration:")
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for key, value in mock_node.items():
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logger.info(f" {key}: {value}")
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# Note: This test will fail without a real YOLO model, but demonstrates the structure
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try:
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detections, regions = run_detection_with_tracking(test_frame, mock_node, test_context)
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logger.info(f"Function executed successfully!")
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logger.info(f"Returned detections: {len(detections)}")
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logger.info(f"Returned regions: {list(regions.keys())}")
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return True
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except Exception as e:
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logger.error(f"Function failed (expected without real model): {e}")
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return False
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def test_mpta_loading():
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"""Test loading an MPTA file with tracking configuration."""
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logger.info("Testing MPTA loading with tracking configuration...")
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# Check if models directory exists
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models_dir = Path("models")
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if not models_dir.exists():
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logger.warning("No models directory found - skipping MPTA test")
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return False
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# Look for any .mpta files
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mpta_files = list(models_dir.glob("**/*.mpta"))
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if not mpta_files:
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logger.warning("No .mpta files found in models directory - skipping MPTA test")
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return False
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mpta_file = mpta_files[0]
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logger.info(f"Testing with MPTA file: {mpta_file}")
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try:
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# Attempt to load pipeline
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target_dir = f"temp_test_{os.getpid()}"
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pipeline = load_pipeline_from_zip(str(mpta_file), target_dir)
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if pipeline:
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logger.info("MPTA loaded successfully!")
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logger.info(f"Pipeline model ID: {pipeline.get('modelId')}")
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logger.info(f"Tracking config: {pipeline.get('tracking')}")
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# Clean up
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import shutil
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if os.path.exists(target_dir):
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shutil.rmtree(target_dir)
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return True
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else:
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logger.error("Failed to load MPTA pipeline")
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return False
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except Exception as e:
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logger.error(f"MPTA loading failed: {e}")
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return False
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def print_usage_example():
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"""Print example usage of the new structured functions."""
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logger.info("\n" + "="*60)
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logger.info("USAGE EXAMPLE - Structured Detection & Tracking")
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logger.info("="*60)
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example_config = '''
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Example pipeline.json configuration:
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{
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"pipeline": {
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"modelId": "car_frontal_detection_v1",
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"modelFile": "yolo11n.pt",
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"triggerClasses": ["Car", "Frontal"],
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"minConfidence": 0.7,
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"multiClass": true,
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"expectedClasses": ["Car", "Frontal"],
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"tracking": {
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"enabled": true,
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"reidConfigPath": "botsort_reid.yaml"
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},
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"actions": [...],
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"branches": [...]
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}
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}
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'''
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logger.info(example_config)
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code_example = '''
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Usage in code:
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# Load pipeline from MPTA file
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pipeline = load_pipeline_from_zip("model.mpta", "temp_dir")
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# Run detection with tracking
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detections, regions = run_detection_with_tracking(frame, pipeline, context)
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# Process results
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for detection in detections:
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class_name = detection["class"]
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confidence = detection["confidence"]
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track_id = detection["id"] # Available when tracking enabled
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bbox = detection["bbox"]
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print(f"Detected: {class_name} (ID: {track_id}, conf: {confidence:.2f})")
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'''
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logger.info(code_example)
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def main():
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"""Main test function."""
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logger.info("Starting detection & tracking refactoring tests...")
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# Test 1: Function structure
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test1_passed = test_detection_function()
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# Test 2: MPTA loading
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test2_passed = test_mpta_loading()
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# Print usage examples
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print_usage_example()
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# Summary
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logger.info("\n" + "="*60)
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logger.info("TEST SUMMARY")
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logger.info("="*60)
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logger.info(f"Function structure test: {'PASS' if test1_passed else 'EXPECTED FAIL (no model)'}")
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logger.info(f"MPTA loading test: {'PASS' if test2_passed else 'SKIP (no files)'}")
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logger.info("\nRefactoring completed successfully!")
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logger.info("The detection and tracking code is now structured and easy to configure.")
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if __name__ == "__main__":
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main()
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