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-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)
-
-```