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-Markers detection
-=================
-
-![Detected markers](../../img/detected_markers.png)
-
-Firstly, the [ArUcoDetector](../../argaze.md/#argaze.ArUcoMarkers.ArUcoDetector.ArUcoDetector) needs to know the expected dictionary and size (in centimeter) of the [ArUcoMarkers](../../argaze.md/#argaze.ArUcoMarkers.ArUcoMarker) it have to detect.
-
-Notice that extra parameters are passed to detector: see [OpenCV ArUco markers detection parameters documentation](https://docs.opencv.org/4.x/d1/dcd/structcv_1_1aruco_1_1DetectorParameters.html) to know more.
-
-``` python
-from argaze.ArUcoMarkers import ArUcoDetector, ArUcoOpticCalibrator
-
-# Assuming camera calibration data are loaded
-
-# Loading extra detector parameters
-extra_parameters = ArUcoDetector.DetectorParameters.from_json('./detector_parameters.json')
-
-# Create ArUco detector to track DICT_APRILTAG_16h5 5cm length markers
-aruco_detector = ArUcoDetector.ArUcoDetector(optic_parameters=optic_parameters, dictionary='DICT_APRILTAG_16h5', marker_size=5, parameters=extra_parameters)
-```
-
-Here is [DetectorParameters](../../argaze.md/#argaze.ArUcoMarkers.ArUcoDetector.DetectorParameters) JSON file example:
-
-```
-{
- "cornerRefinementMethod": 1,
- "aprilTagQuadSigma": 2,
- "aprilTagDeglitch": 1
-}
-```
-
-The [ArUcoDetector](../../argaze.md/#argaze.ArUcoMarkers.ArUcoDetector.ArUcoDetector) processes image to detect markers and allows to draw detection results onto it:
-
-``` python
-# Detect markers into image and draw them
-aruco_detector.detect_markers(image)
-aruco_detector.draw_detected_markers(image)
-
-# Get corners position into image related to each detected markers
-for marker_id, marker in aruco_detector.detected_markers.items():
-
- print(f'marker {marker_id} corners: ', marker.corners)
-
- # Do something with detected marker i corners
- ...
-
-```