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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 | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/docs/user_guide/ar_environment/environment_exploitation.md b/docs/user_guide/ar_environment/environment_exploitation.md index f07d150..a4013ea 100644 --- a/docs/user_guide/ar_environment/environment_exploitation.md +++ b/docs/user_guide/ar_environment/environment_exploitation.md @@ -4,8 +4,8 @@ Environment exploitation Once loaded, [ArEnvironment](../../../argaze/#argaze.ArFeatures.ArEnvironment) assets can be exploited as illustrated below: ```python -# Access to AR environment ArUco detector passing it a frame where to detect ArUco markers -ar_environment.aruco_detector.detect_markers(frame) +# Access to AR environment ArUco detector passing it a image where to detect ArUco markers +ar_environment.aruco_detector.detect_markers(image) # Access to an AR environment scene my_first_scene = ar_environment.scenes['my first AR scene'] @@ -15,15 +15,15 @@ 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) - # Project AR scene into camera frame according estimated pose + # 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(frame) + my_first_scene.draw_axis(image) # Draw AOI2D scene projection - aoi2D_scene.draw(frame) + aoi2D_scene.draw(image) # Do something with AOI2D scene projection ... |