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diff --git a/docs/user_guide/utils/estimate_aruco_markers_pose.md b/docs/user_guide/utils/estimate_aruco_markers_pose.md new file mode 100644 index 0000000..d1fd16e --- /dev/null +++ b/docs/user_guide/utils/estimate_aruco_markers_pose.md @@ -0,0 +1,60 @@ +Estimate ArUco markers pose +=========================== + +This **ArGaze** application detects ArUco markers inside a movie frame then, export pose estimation as .obj file into a folder. + +Firstly, edit **utils/estimate_markers_pose/context.json** file as to select a movie *path*. + +```json +{ + "argaze.utils.contexts.OpenCV.Movie" : { + "name": "ArUco markers pose estimator", + "path": "./src/argaze/utils/demo/tobii_record/segments/1/fullstream.mp4", + "pipeline": "pipeline.json" + } +} +``` + +Sencondly, edit **utils/estimate_markers_pose/pipeline.json** file to setup ArUco camera *size*, ArUco detector *dictionary*, *pose_size* and *pose_ids* attributes. + +```json +{ + "argaze.ArUcoMarker.ArUcoCamera.ArUcoCamera": { + "name": "Full HD Camera", + "size": [1920, 1080], + "aruco_detector": { + "dictionary": "DICT_APRILTAG_16h5", + "pose_size": 4, + "pose_ids": [], + "parameters": { + "useAruco3Detection": true + }, + "observers":{ + "observers.ArUcoMarkersPoseRecorder": { + "output_folder": "_export/records/aruco_markers_group" + } + } + }, + "sides_mask": 420, + "image_parameters": { + "background_weight": 1, + "draw_gaze_positions": { + "color": [0, 255, 255], + "size": 4 + }, + "draw_detected_markers": { + "color": [255, 255, 255], + "draw_axes": { + "thickness": 4 + } + } + } + } +} +``` + +Then, launch the application. + +```shell +python -m argaze load ./src/argaze/utils/estimate_markers_pose/context.json +```
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