Merge branch 'master' of ssh://git.recherche.enac.fr/interne-ihm-aero/eye-tracking/argaze

1 files changed, 0 insertions, 36 deletions

diff --git a/docs/user_guide/ar_environment/environment_exploitation.md b/docs/user_guide/ar_environment/environment_exploitation.md
deleted file mode 100644
index 9e4b236..0000000
--- a/docs/user_guide/ar_environment/environment_exploitation.md
+++ /dev/null
@@ -1,36 +0,0 @@
-Environment exploitation
-========================
-
-Once loaded, [ArCamera](../../argaze.md/#argaze.ArFeatures.ArCamera) assets can be exploited as illustrated below:
-
-```python
-# Access to AR environment ArUco detector passing it a image where to detect ArUco markers
-ar_camera.aruco_detector.detect_markers(image)
-
-# Access to an AR environment scene
-my_first_scene = ar_camera.scenes['my first AR scene']
-
-try:
-
-     # Try to estimate AR scene pose from detected markers
-     tvec, rmat, consistent_markers = my_first_scene.estimate_pose(ar_camera.aruco_detector.detected_markers)
-
-     # Project AR scene into camera image according estimated pose
-     # Optional visual_hfov argument is set to 160° to clip AOI scene according a cone vision
-     aoi2D_scene = my_first_scene.project(tvec, rmat, visual_hfov=160)
-
-     # Draw estimated AR scene axis
-     my_first_scene.draw_axis(image)
-
-     # Draw AOI2D scene projection
-     aoi2D_scene.draw(image)
-
-     # Do something with AOI2D scene projection
-     ...
-
-# Catch exceptions raised by estimate_pose and project methods
-except (ArFeatures.PoseEstimationFailed, ArFeatures.SceneProjectionFailed) as e:
-
-    print(e)
-
-```