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-rw-r--r--docs/user_guide/ar_environment/environment_exploitation.md36
-rw-r--r--docs/user_guide/ar_environment/environment_setup.md77
-rw-r--r--docs/user_guide/ar_environment/introduction.md6
3 files changed, 0 insertions, 119 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)
-
-```
diff --git a/docs/user_guide/ar_environment/environment_setup.md b/docs/user_guide/ar_environment/environment_setup.md
deleted file mode 100644
index 1f26d26..0000000
--- a/docs/user_guide/ar_environment/environment_setup.md
+++ /dev/null
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-Environment Setup
-=================
-
-[ArCamera](../../argaze.md/#argaze.ArFeatures.ArCamera) setup is loaded from JSON file format.
-
-Each [ArCamera](../../argaze.md/#argaze.ArFeatures.ArCamera) defines a unique [ArUcoDetector](../../argaze.md/#argaze.ArUcoMarkers.ArUcoDetector.ArUcoDetector) dedicated to detection of markers from a specific [ArUcoMarkersDictionary](../../argaze.md/#argaze.ArUcoMarkers.ArUcoMarkersDictionary) and with a given size. However, it is possible to load multiple [ArScene](../../argaze.md/#argaze.ArFeatures.ArScene) into a same [ArCamera](../../argaze.md/#argaze.ArFeatures.ArCamera).
-
-Here is JSON environment file example where it is assumed that mentioned .obj files are located relatively to the environment file on disk.
-
-```
-{
- "name": "my AR environment",
- "aruco_detector": {
- "dictionary": {
- "name": "DICT_APRILTAG_16h5"
- }
- "marker_size": 5,
- "optic_parameters": {
- "rms": 0.6,
- "dimensions": [
- 1920,
- 1080
- ],
- "K": [
- [
- 1135,
- 0.0,
- 956
- ],
- [
- 0.0,
- 1135,
- 560
- ],
- [
- 0.0,
- 0.0,
- 1.0
- ]
- ],
- "D": [
- 0.01655492265003404,
- 0.1985524264972037,
- 0.002129965902489484,
- -0.0019528582922179365,
- -0.5792910353639452
- ]
- },
- "parameters": {
- "cornerRefinementMethod": 3,
- "aprilTagQuadSigma": 2,
- "aprilTagDeglitch": 1
- }
- },
- "scenes": {
- "my first AR scene" : {
- "aruco_markers_group": "./first_scene/markers.obj",
- "aoi_scene": "./first_scene/aoi.obj",
- "angle_tolerance": 15.0,
- "distance_tolerance": 2.54
- },
- "my second AR scene" : {
- "aruco_markers_group": "./second_scene/markers.obj",
- "aoi_scene": "./second_scene/aoi.obj",
- "angle_tolerance": 15.0,
- "distance_tolerance": 2.54
- }
- }
-}
-```
-
-```python
-from argaze import ArFeatures
-
-# Load AR environment
-ar_camera = ArFeatures.ArCamera.from_json('./environment.json')
-```
diff --git a/docs/user_guide/ar_environment/introduction.md b/docs/user_guide/ar_environment/introduction.md
deleted file mode 100644
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-AR environment setup
-====================
-
-ArGaze toolkit eases ArUco and AOI management in a single AR environment setup.
-
-This section refers to [ArFeatures](../../argaze.md/#argaze.ArFeatures).