Fix constant ordering

modules/detect_target/run.py

@@ -0,0 +1,72 @@
+"""
+Run bright spot detection on multiple images.
+"""
+
+import pathlib
+import cv2
+from modules.detect_target import detect_target_brightspot
+from modules import image_and_time
+from modules.common.modules.logger import logger
+
+# Paths
+IMAGE_DIR = pathlib.Path("tests/brightspot_example")
+IMAGE_FILES = [
+    "ir1.png",
+    "ir2.png",
+    "ir3.png",
+    "ir4.png",
+    "ir5.png",
+    "ir6.png",
+    "ir7.png",
+]  # List of image files
+SAVE_DIR = pathlib.Path("output")
+
+
+def main() -> None:
+    """
+    Run bright spot detection on multiple images.
+    """
+    # Initialize logger
+    result, local_logger = logger.Logger.create("brightspot_logger", False)
+    if not result or local_logger is None:
+        print("Failed to create logger.")
+        return
+
+    # Ensure the save directory exists
+    SAVE_DIR.mkdir(parents=True, exist_ok=True)
+
+    for image_file in IMAGE_FILES:
+        image_path = IMAGE_DIR / image_file
+
+        # Initialize the detector
+        detector = detect_target_brightspot.DetectTargetBrightspot(
+            local_logger=local_logger,
+            show_annotations=True,
+            save_name=image_file,
+        )
+
+        # Load the image
+        image = cv2.imread(str(image_path))
+        if image is None:
+            print(f"Failed to load image from {image_path}")
+            continue
+
+        # Create ImageAndTime object
+        result, image_data = image_and_time.ImageAndTime.create(image)
+        if not result or image_data is None:
+            print(f"Failed to create ImageAndTime object for {image_path}")
+            continue
+
+        # Run the detector
+        success, detections = detector.run(image_data)
+        if not success or detections is None:
+            print(f"Detection failed or returned no detections for {image_path}")
+            continue
+
+        print(f"Detection successful for {image_path}. Detections:")
+        for detection in detections.detections:
+            print(f"Label: {detection.label}, Confidence: {detection.confidence}")
+
+
+if __name__ == "__main__":
+    main()

tests/unit/test_detect_target_brightspot.py

@@ -14,21 +14,24 @@
 from modules.detect_target import detect_target_brightspot
 
 
-NUMBER_OF_IMAGES_DETECTIONS = 5
-NUMBER_OF_IMAGES_NO_DETECTIONS = 2
 TEST_PATH = pathlib.Path("tests", "brightspot_example")
+
+NUMBER_OF_IMAGES_DETECTIONS = 5
 IMAGE_DETECTIONS_FILES = [
     pathlib.Path(f"ir_detections_{i}.png") for i in range(0, NUMBER_OF_IMAGES_DETECTIONS)
 ]
-IMAGE_NO_DETECTIONS_FILES = [
-    pathlib.Path(f"ir_no_detections_{i}.png") for i in range(0, NUMBER_OF_IMAGES_NO_DETECTIONS)
-]
 EXPECTED_DETECTIONS_PATHS = [
     pathlib.Path(TEST_PATH, f"bounding_box_ir_detections_{i}.txt")
     for i in range(0, NUMBER_OF_IMAGES_DETECTIONS)
 ]
 DETECTION_TEST_CASES = list(zip(IMAGE_DETECTIONS_FILES, EXPECTED_DETECTIONS_PATHS))
 
+NUMBER_OF_IMAGES_NO_DETECTIONS = 2
+IMAGE_NO_DETECTIONS_FILES = [
+    pathlib.Path(f"ir_no_detections_{i}.png") for i in range(0, NUMBER_OF_IMAGES_NO_DETECTIONS)
+]
+NO_DETECTION_TEST_CASES = IMAGE_NO_DETECTIONS_FILES
+
 BOUNDING_BOX_PRECISION_TOLERANCE = 3
 CONFIDENCE_PRECISION_TOLERANCE = 6
 
@@ -143,7 +146,7 @@ def image_ir_detections(request: pytest.FixtureRequest) -> tuple[image_and_time.
     yield ir_image, detections  # type: ignore
 
 
-@pytest.fixture(params=IMAGE_NO_DETECTIONS_FILES)
+@pytest.fixture(params=NO_DETECTION_TEST_CASES)
 def image_ir_no_detections(request: pytest.FixtureRequest) -> image_and_time.ImageAndTime:  # type: ignore
     """
     Load image with no detections.