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Diffstat (limited to 'docs/user_guide/ar_environment/environment_exploitation.md')
| -rw-r--r-- | docs/user_guide/ar_environment/environment_exploitation.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/user_guide/ar_environment/environment_exploitation.md b/docs/user_guide/ar_environment/environment_exploitation.md index 28d61b9..9e4b236 100644 --- a/docs/user_guide/ar_environment/environment_exploitation.md +++ b/docs/user_guide/ar_environment/environment_exploitation.md @@ -1,19 +1,19 @@ Environment exploitation ======================== -Once loaded, [ArEnvironment](../../argaze.md/#argaze.ArFeatures.ArEnvironment) assets can be exploited as illustrated below: +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_environment.aruco_detector.detect_markers(image) +ar_camera.aruco_detector.detect_markers(image) # Access to an AR environment scene -my_first_scene = ar_environment.scenes['my first AR 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_environment.aruco_detector.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 |