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authorThéo de la Hogue2024-02-19 14:41:48 +0100
committerThéo de la Hogue2024-02-19 14:41:48 +0100
commit8c1d67a51a11a22f9b33aded2d96ca15d2c3da28 (patch)
tree7c5c70cf92817f97be7f45499abfad3ec69b417c /src
parent8c18534f4e5d64d3b2477f6c7ecc1e6555a85be8 (diff)
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Moving detection metrics into an Observer class.
Diffstat (limited to 'src')
-rw-r--r--src/argaze/ArUcoMarkers/ArUcoDetector.py92
1 files changed, 50 insertions, 42 deletions
diff --git a/src/argaze/ArUcoMarkers/ArUcoDetector.py b/src/argaze/ArUcoMarkers/ArUcoDetector.py
index a04bc8f..9f51490 100644
--- a/src/argaze/ArUcoMarkers/ArUcoDetector.py
+++ b/src/argaze/ArUcoMarkers/ArUcoDetector.py
@@ -133,7 +133,7 @@ class DetectorParameters():
class ArUcoDetector(DataFeatures.PipelineStepObject):
"""OpenCV ArUco library wrapper."""
- def __init__(self, dictionary: ArUcoMarkersDictionary.ArUcoMarkersDictionary = None, optic_parameters: ArUcoOpticCalibrator.OpticParameters = None, parameters: DetectorParameters = None):
+ def __init__(self, dictionary: ArUcoMarkersDictionary.ArUcoMarkersDictionary = None, optic_parameters: ArUcoOpticCalibrator.OpticParameters = None, parameters: DetectorParameters = None, **kwargs):
"""Initialize ArUcoDetector.
Parameters:
@@ -143,7 +143,7 @@ class ArUcoDetector(DataFeatures.PipelineStepObject):
"""
# Init parent class
- super().__init__()
+ super().__init__(**kwargs)
# Init private attributes
self.__dictionary = dictionary
@@ -159,10 +159,6 @@ class ArUcoDetector(DataFeatures.PipelineStepObject):
self.__board_corners = []
self.__board_corners_ids = []
- # Init detect metrics data
- self.__detection_count = 0
- self.__detected_ids = []
-
@property
def dictionary(self) -> ArUcoMarkersDictionary.ArUcoMarkersDictionary:
"""Get aruco detector's dictionary object."""
@@ -250,11 +246,19 @@ class ArUcoDetector(DataFeatures.PipelineStepObject):
new_parameters = DetectorParameters()
+ # Load temporary pipeline step object from aruco_detector_data then export it as dict
+ temp_pipeline_step_object_data = DataFeatures.PipelineStepObject.from_dict(aruco_detector_data, working_directory).as_dict()
+
# Create aruco detector
- return ArUcoDetector(new_dictionary, new_optic_parameters, new_parameters)
+ return ArUcoDetector( \
+ new_dictionary, \
+ new_optic_parameters, \
+ new_parameters, \
+ **temp_pipeline_step_object_data \
+ )
@DataFeatures.PipelineStepMethod
- def detect_markers(self, timestamp: int|float, image: numpy.array) -> float:
+ def detect_markers(self, timestamp: int|float, image: numpy.array):
"""Detect all ArUco markers into an image.
!!! danger "DON'T MIRROR IMAGE"
@@ -262,32 +266,20 @@ class ArUcoDetector(DataFeatures.PipelineStepObject):
!!! danger "DON'T UNDISTORED IMAGE"
Camera intrisic parameters and distorsion coefficients are used later during pose estimation.
-
- Returns:
- detection time: marker detection time in ms.
"""
# Reset detected markers data
self.__detected_markers, detected_markers_corners, detected_markers_ids = {}, [], []
- # Store marker detection start date
- detection_start = time.perf_counter()
-
# Detect markers into gray picture
detected_markers_corners, detected_markers_ids, _ = aruco.detectMarkers(cv.cvtColor(image, cv.COLOR_BGR2GRAY), self.__dictionary.markers, parameters = self.__parameters.internal)
- # Assess marker detection time in ms
- detection_time = (time.perf_counter() - detection_start) * 1e3
-
# Is there detected markers ?
if len(detected_markers_corners) > 0:
# Transform markers ids array into list
detected_markers_ids = detected_markers_ids.T[0]
- # Gather detected markers data and update metrics
- self.__detection_count += 1
-
for i, marker_id in enumerate(detected_markers_ids):
marker = ArUcoMarker.ArUcoMarker(self.__dictionary, marker_id)
@@ -300,11 +292,6 @@ class ArUcoDetector(DataFeatures.PipelineStepObject):
self.__detected_markers[marker_id] = marker
- # Update metrics
- self.__detected_ids.append(marker_id)
-
- return detection_time
-
def estimate_markers_pose(self, markers_ids: list = []):
"""Estimate pose of current detected markers or of given markers id list."""
@@ -398,23 +385,6 @@ class ArUcoDetector(DataFeatures.PipelineStepObject):
cv.drawChessboardCorners(image, ((self.__board.size[0] - 1 ), (self.__board.size[1] - 1)), self.__board_corners, True)
- def reset_detection_metrics(self):
- """Enable marker detection metrics."""
-
- self.__detection_count = 0
- self.__detected_ids = []
-
- @property
- def detection_metrics(self) -> Tuple[int, dict]:
- """Get marker detection metrics.
-
- Returns:
- number of detect function call
- dict with number of detection for each marker identifier
- """
-
- return self.__detection_count, Counter(self.__detected_ids)
-
@property
def board_corners_number(self) -> int:
"""Get detected board corners number."""
@@ -433,3 +403,41 @@ class ArUcoDetector(DataFeatures.PipelineStepObject):
return self.__board_corners
+class Observer(DataFeatures.PipelineStepObserver):
+ """Define ArUcoDetector observer to count how many times detection succeeded and how many times markers are detected."""
+
+ def __init__(self):
+ """Initialize marker detection metrics."""
+
+ self.__try_count = 0
+ self.__success_count = 0
+ self.__detected_ids = []
+
+ @property
+ def metrics(self) -> Tuple[int, dict]:
+ """Get marker detection metrics.
+
+ Returns:
+ number of detect function call
+ dict with number of detection for each marker identifier
+ """
+
+ return self.__try_count, self.__success_count, Counter(self.__detected_ids)
+
+ def reset(self):
+ """Reset marker detection metrics."""
+
+ self.__try_count = 0
+ self.__success_count = 0
+ self.__detected_ids = []
+
+ def on_detect_markers(self, timestamp, aruco_detector, exception):
+ """Update ArUco markers detection metrics."""
+
+ self.__try_count += 1
+ detected_markers_list = list(aruco_detector.detected_markers.keys())
+
+ if len(detected_markers_list):
+
+ self.__success_count += 1
+ self.__detected_ids.extend(detected_markers_list)