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authorThéo de la Hogue2023-06-21 09:03:41 +0200
committerThéo de la Hogue2023-06-21 09:03:41 +0200
commita594afb5bb17798cd138f1632dcfc53f4eaac09f (patch)
treeac3527627e4171e6fd545c73e0cc81f49dfe6a94 /docs/user_guide/aruco_markers
parent0354377903fbc8a828b5735b2d25e1c5bc02c768 (diff)
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Replacing frame word by image when it is about drawing or detecting.
Diffstat (limited to 'docs/user_guide/aruco_markers')
-rw-r--r--docs/user_guide/aruco_markers/camera_calibration.md12
-rw-r--r--docs/user_guide/aruco_markers/markers_detection.md10
2 files changed, 11 insertions, 11 deletions
diff --git a/docs/user_guide/aruco_markers/camera_calibration.md b/docs/user_guide/aruco_markers/camera_calibration.md
index 7bff480..1019fc1 100644
--- a/docs/user_guide/aruco_markers/camera_calibration.md
+++ b/docs/user_guide/aruco_markers/camera_calibration.md
@@ -24,7 +24,7 @@ Then, the calibration process needs to make many different captures of an [ArUco
![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:
+The sample of code below shows how to detect board corners into camera images, store detected corners then process them to build calibration data and, finally, save it into a JSON file:
``` python
from argaze.ArUcoMarkers import ArUcoMarkersDictionary, ArUcoOpticCalibrator, ArUcoBoard, ArUcoDetector
@@ -42,19 +42,19 @@ expected_aruco_board = ArUcoBoard.ArUcoBoard(7, 5, 5, 3, aruco_dictionary)
# Create ArUco detector
aruco_detector = ArUcoDetector.ArUcoDetector(dictionary=aruco_dictionary, marker_size=3)
-# Capture frames from a live Full HD video stream (1920x1080)
+# Capture images from a live Full HD video stream (1920x1080)
while video_stream.is_alive():
- frame = video_stream.read()
+ image = video_stream.read()
- # Detect all board corners in frame
- aruco_detector.detect_board(frame, expected_aruco_board, expected_aruco_board.markers_number)
+ # Detect all board corners in image
+ aruco_detector.detect_board(image, expected_aruco_board, expected_aruco_board.markers_number)
# If board corners are detected
if aruco_detector.board_corners_number > 0:
# Draw board corners to show that board tracking succeeded
- aruco_detector.draw_board(frame)
+ aruco_detector.draw_board(image)
# Append tracked board data for further calibration processing
aruco_optic_calibrator.store_calibration_data(aruco_detector.board_corners, aruco_detector.board_corners_identifier)
diff --git a/docs/user_guide/aruco_markers/markers_detection.md b/docs/user_guide/aruco_markers/markers_detection.md
index 3851cb4..9a3bc9f 100644
--- a/docs/user_guide/aruco_markers/markers_detection.md
+++ b/docs/user_guide/aruco_markers/markers_detection.md
@@ -29,14 +29,14 @@ Here is [DetectorParameters](../../../argaze/#argaze.ArUcoMarkers.ArUcoDetector.
}
```
-The [ArUcoDetector](../../../argaze/#argaze.ArUcoMarkers.ArUcoDetector.ArUcoDetector) processes frame to detect markers and allows to draw detection results onto it:
+The [ArUcoDetector](../../../argaze/#argaze.ArUcoMarkers.ArUcoDetector.ArUcoDetector) processes image to detect markers and allows to draw detection results onto it:
``` python
-# Detect markers into a frame and draw them
-aruco_detector.detect_markers(frame)
-aruco_detector.draw_detected_markers(frame)
+# Detect markers into image and draw them
+aruco_detector.detect_markers(image)
+aruco_detector.draw_detected_markers(image)
-# Get corners position into frame related to each detected markers
+# 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)