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authorThéo de la Hogue2023-06-14 11:36:40 +0200
committerThéo de la Hogue2023-06-14 11:36:40 +0200
commit4a5c7ad8bf29afc5af893c524e5753de302873b7 (patch)
tree3bcfc09e13dea8786d82c5e4f90f231ec945bdda /docs/user_guide/aruco_markers
parenta292d09c2a95237429bd740075f396e8ca74b5c9 (diff)
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Renaming ArUcoCamera into ArUcoOpticCalibrator. Using OpticParameters class to handle K and D parameters.
Diffstat (limited to 'docs/user_guide/aruco_markers')
-rw-r--r--docs/user_guide/aruco_markers/camera_calibration.md42
-rw-r--r--docs/user_guide/aruco_markers/introduction.md2
-rw-r--r--docs/user_guide/aruco_markers/markers_detection.md4
3 files changed, 28 insertions, 20 deletions
diff --git a/docs/user_guide/aruco_markers/camera_calibration.md b/docs/user_guide/aruco_markers/camera_calibration.md
index c8a0be9..ea2c51a 100644
--- a/docs/user_guide/aruco_markers/camera_calibration.md
+++ b/docs/user_guide/aruco_markers/camera_calibration.md
@@ -5,7 +5,7 @@ Any camera device have to be calibrated to compensate its optical distorsion.
![Camera calibration](../../img/camera_calibration.png)
-The first step to calibrate a [ArUcoCamera](/argaze/#argaze.ArUcoMarkers.ArUcoCamera) is to create an [ArUcoBoard](/argaze/#argaze.ArUcoMarkers.ArUcoBoard) like in the code below:
+The first step to calibrate a camera is to create an [ArUcoBoard](/argaze/#argaze.ArUcoMarkers.ArUcoBoard) like in the code below:
``` python
from argaze.ArUcoMarkers import ArUcoMarkersDictionary, ArUcoBoard
@@ -20,20 +20,20 @@ aruco_board = ArUcoBoard.ArUcoBoard(7, 5, 5, 3, aruco_dictionary)
aruco_board.save('./calibration_board.png', 300)
```
-Then, the calibration process needs to make many different captures of an [ArUcoBoard](/argaze/#argaze.ArUcoMarkers.ArUcoBoard) through the camera and then, pass them to an [ArUcoDetector](/argaze/#argaze.ArUcoMarkers.ArUcoDetector.ArUcoDetector) instance.
+Then, the calibration process needs to make many different captures of an [ArUcoBoard](/argaze/#argaze.ArUcoMarkers.ArUcoBoard) through the camera and then, pass them to an [ArUcoDetector](/argaze/#argaze.ArUcoMarkers.ArUcoDetector.ArUcoDetector) instance to detect board corners and store them as calibration data to an [ArUcoOpticCalibrator](/argaze/#argaze.ArUcoMarkers.ArUcoOpticCalibrator) for final calibration process.
![Calibration step](../../img/camera_calibration_step.png)
The sample of code below shows how to detect board corners into camera frames, store detected corners then process them to build calibration data and, finally, save it into a JSON file:
``` python
-from argaze.ArUcoMarkers import ArUcoMarkersDictionary, ArUcoCamera, ArUcoBoard, ArUcoDetector
+from argaze.ArUcoMarkers import ArUcoMarkersDictionary, ArUcoOpticCalibrator, ArUcoBoard, ArUcoDetector
# Create ArUco dictionary
aruco_dictionary = ArUcoMarkersDictionary.ArUcoMarkersDictionary('DICT_APRILTAG_16h5')
-# Create ArUco camera
-aruco_camera = ArUcoCamera.ArUcoCamera(dimensions=(1920, 1080))
+# Create ArUco optic calibrator
+aruco_optic_calibrator = ArUcoOpticCalibrator.ArUcoOpticCalibrator()
# Create ArUco board of 7 columns and 5 rows with 5 cm squares with 3cm aruco markers inside
# Note: This board is the one expected during further board tracking
@@ -57,27 +57,35 @@ while video_stream.is_alive():
aruco_detector.draw_board(frame)
# Append tracked board data for further calibration processing
- aruco_camera.store_calibration_data(aruco_detector.board_corners, aruco_detector.board_corners_identifier)
+ aruco_optic_calibrator.store_calibration_data(aruco_detector.board_corners, aruco_detector.board_corners_identifier)
# Start camera calibration processing for Full HD image resolution
print('Calibrating camera...')
-aruco_camera.calibrate(expected_aruco_board)
+optic_parameters = aruco_optic_calibrator.calibrate(aruco_board, dimensions=(1920, 1080))
-# Print camera calibration data
-print('Calibration succeeded!')
-print(f'RMS:{aruco_camera.rms}')
-print(f'Camera matrix:{aruco_camera.K}')
-print(f'Distortion coefficients:{aruco_camera.D}')
+if optic_parameters:
-# Save camera calibration data
-aruco_camera.to_json('calibration.json')
+ print('\nCalibration succeeded!')
+
+ print(f'\nRMS:\n{optic_parameters.rms}')
+ print(f'\nDimensions:\n{optic_parameters.dimensions[0]}x{optic_parameters.dimensions[1]}')
+ print(f'\nCamera matrix:\n{optic_parameters.K}')
+ print(f'\nDistortion coefficients:\n{optic_parameters.D}')
+
+ optic_parameters.to_json(f'{args.output}/calibration.json')
+
+ print(f'\ncalibration.json file exported into {args.output} folder')
+
+else:
+
+ print('\nCalibration error.')
```
Then, the camera calibration data are loaded to compensate optical distorsion during [ArUcoMarkers](/argaze/#argaze.ArUcoMarkers.ArUcoMarker) detection:
``` python
-from argaze.ArUcoMarkers import ArUcoCamera
+from argaze.ArUcoMarkers import ArUcoOpticCalibrator
-# Load camera calibration data
-aruco_camera = ArUcoCamera.ArUcoCamera.from_json('./calibration.json')
+# Load camera optic parameters
+optic_parameters = ArUcoOpticCalibrator.OpticParameters.from_json('./calibration.json')
```
diff --git a/docs/user_guide/aruco_markers/introduction.md b/docs/user_guide/aruco_markers/introduction.md
index fbf01cf..7da045c 100644
--- a/docs/user_guide/aruco_markers/introduction.md
+++ b/docs/user_guide/aruco_markers/introduction.md
@@ -10,6 +10,6 @@ The ArGaze [ArUcoMarkers submodule](/argaze/#argaze.ArUcoMarkers) eases markers
* [ArUcoMarkersDictionary](/argaze/#argaze.ArUcoMarkers.ArUcoMarkersDictionary)
* [ArUcoMarkers](/argaze/#argaze.ArUcoMarkers.ArUcoMarker)
* [ArUcoBoard](/argaze/#argaze.ArUcoMarkers.ArUcoBoard)
-* [ArUcoCamera](/argaze/#argaze.ArUcoMarkers.ArUcoCamera)
+* [ArUcoOpticCalibrator](/argaze/#argaze.ArUcoMarkers.ArUcoOpticCalibrator)
* [ArUcoDetector](/argaze/#argaze.ArUcoMarkers.ArUcoDetector)
* [ArUcoScene](/argaze/#argaze.ArUcoMarkers.ArUcoScene) \ No newline at end of file
diff --git a/docs/user_guide/aruco_markers/markers_detection.md b/docs/user_guide/aruco_markers/markers_detection.md
index d962b7b..f8a23f9 100644
--- a/docs/user_guide/aruco_markers/markers_detection.md
+++ b/docs/user_guide/aruco_markers/markers_detection.md
@@ -8,7 +8,7 @@ Firstly, the [ArUcoDetector](/argaze/#argaze.ArUcoMarkers.ArUcoDetector.ArUcoDet
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, ArUcoCamera
+from argaze.ArUcoMarkers import ArUcoDetector, ArUcoOpticCalibrator
# Assuming camera calibration data are loaded
@@ -16,7 +16,7 @@ from argaze.ArUcoMarkers import ArUcoDetector, ArUcoCamera
extra_parameters = ArUcoDetector.DetectorParameters.from_json('./detector_parameters.json')
# Create ArUco detector to track DICT_APRILTAG_16h5 5cm length markers
-aruco_detector = ArUcoDetector.ArUcoDetector(camera=aruco_camera, dictionary='DICT_APRILTAG_16h5', marker_size=5, parameters=extra_parameters)
+aruco_detector = ArUcoDetector.ArUcoDetector(optic_parameters=optic_parameters, dictionary='DICT_APRILTAG_16h5', marker_size=5, parameters=extra_parameters)
```
Here is [DetectorParameters](/argaze/#argaze.ArUcoMarkers.ArUcoDetector.DetectorParameters) JSON file example: