Updating more test.

4 files changed, 64 insertions, 64 deletions

diff --git a/src/argaze.test/ArUcoMarkers/ArUcoCamera.py b/src/argaze.test/ArUcoMarkers/ArUcoCamera.py
index 6145f40..a3c5943 100644
--- a/src/argaze.test/ArUcoMarkers/ArUcoCamera.py
+++ b/src/argaze.test/ArUcoMarkers/ArUcoCamera.py
@@ -25,49 +25,46 @@ class TestArUcoCameraClass(unittest.TestCase):
         json_filepath = os.path.join(current_directory, 'utils/aruco_camera.json')
 
         # Load test aruco camera
-        aruco_camera = ArUcoCamera.ArUcoCamera.from_json(json_filepath)
-
-        # Check aruco camera meta data
-        self.assertEqual(aruco_camera.name, "TestArUcoCamera")
-
-        # Check ArUco detector
-        self.assertEqual(aruco_camera.aruco_detector.dictionary.name, "DICT_ARUCO_ORIGINAL")
-        self.assertEqual(aruco_camera.aruco_detector.marker_size, 3.0)
-        self.assertEqual(aruco_camera.aruco_detector.parameters.cornerRefinementMethod, 3)
-        self.assertEqual(aruco_camera.aruco_detector.parameters.aprilTagQuadSigma, 2)
-        self.assertEqual(aruco_camera.aruco_detector.parameters.aprilTagDeglitch, 1)
-
-        # Check ArUco detector optic parameters
-        self.assertEqual(aruco_camera.aruco_detector.optic_parameters.rms, 1.0)
-        self.assertIsNone(numpy.testing.assert_array_equal(aruco_camera.aruco_detector.optic_parameters.dimensions, [1920, 1080]))
-        self.assertIsNone(numpy.testing.assert_array_equal(aruco_camera.aruco_detector.optic_parameters.K, [[1.0, 0.0, 1.0], [0.0, 1.0, 1.0], [0.0, 0.0, 1.0]]))
-        self.assertIsNone(numpy.testing.assert_array_equal(aruco_camera.aruco_detector.optic_parameters.D, [-1.0, -0.5, 0.0, 0.5, 1.0]))
-
-        # Check camera scenes
-        self.assertEqual(len(aruco_camera.scenes), 2)
-        self.assertIsNone(numpy.testing.assert_array_equal(list(aruco_camera.scenes.keys()), ["TestSceneA", "TestSceneB"]))
-
-        # Load test scene
-        ar_scene = aruco_camera.scenes["TestSceneA"]
-
-        # Check Aruco scene
-        self.assertEqual(len(ar_scene.aruco_markers_group.places), 2)
-        self.assertIsNone(numpy.testing.assert_array_equal(ar_scene.aruco_markers_group.places[0].translation, [1, 0, 0]))
-        self.assertIsNone(numpy.testing.assert_array_equal(ar_scene.aruco_markers_group.places[0].rotation, [[1.,0.,0.],[0.,1.,0.],[0.,0.,1.]]))
-        self.assertEqual(ar_scene.aruco_markers_group.places[0].marker.identifier, 0)
-
-        self.assertIsNone(numpy.testing.assert_array_equal(ar_scene.aruco_markers_group.places[1].translation, [0, 1, 0]))
-        self.assertIsNone(numpy.testing.assert_array_almost_equal(ar_scene.aruco_markers_group.places[1].rotation, [[0.,0.,1.],[0., 1.,0.],[-1.,0.,0.]]))
-        self.assertEqual(ar_scene.aruco_markers_group.places[1].marker.identifier, 1)
-
-        # Check AOI scene 
-        self.assertEqual(len(ar_scene.aoi_scene.items()), 1)
-        self.assertEqual(ar_scene.aoi_scene['Test'].points_number, 4)
-        self.assertIsNone(numpy.testing.assert_array_equal(ar_scene.aoi_scene['Test'].size, [1., 1., 0.]))
-
-        # Check ArScene
-        self.assertEqual(ar_scene.angle_tolerance, 1.0)
-        self.assertEqual(ar_scene.distance_tolerance, 2.0)
+        with ArUcoCamera.ArUcoCamera.from_json(json_filepath) as aruco_camera:
+
+            # Check aruco camera meta data
+            self.assertEqual(aruco_camera.name, "TestArUcoCamera")
+
+            # Check ArUco detector
+            self.assertEqual(aruco_camera.aruco_detector.dictionary.name, "DICT_ARUCO_ORIGINAL")
+            self.assertEqual(aruco_camera.aruco_detector.parameters.cornerRefinementMethod, 3)
+            self.assertEqual(aruco_camera.aruco_detector.parameters.aprilTagQuadSigma, 2)
+            self.assertEqual(aruco_camera.aruco_detector.parameters.aprilTagDeglitch, 1)
+
+            # Check ArUco detector optic parameters
+            self.assertEqual(aruco_camera.aruco_detector.optic_parameters.rms, 1.0)
+            self.assertIsNone(numpy.testing.assert_array_equal(aruco_camera.aruco_detector.optic_parameters.dimensions, [1920, 1080]))
+            self.assertIsNone(numpy.testing.assert_array_equal(aruco_camera.aruco_detector.optic_parameters.K, [[1.0, 0.0, 1.0], [0.0, 1.0, 1.0], [0.0, 0.0, 1.0]]))
+            self.assertIsNone(numpy.testing.assert_array_equal(aruco_camera.aruco_detector.optic_parameters.D, [-1.0, -0.5, 0.0, 0.5, 1.0]))
+
+            # Check camera scenes
+            self.assertEqual(len(aruco_camera.scenes), 2)
+            self.assertIsNone(numpy.testing.assert_array_equal(list(aruco_camera.scenes.keys()), ["TestSceneA", "TestSceneB"]))
+
+            # Load test scene
+            ar_scene = aruco_camera.scenes["TestSceneA"]
+
+            # Check Aruco scene
+            self.assertEqual(len(ar_scene.aruco_markers_group.places), 2)
+            self.assertIsNone(numpy.testing.assert_allclose(ar_scene.aruco_markers_group.places[0].corners[0], [-0.5, 1.5, 0.], rtol=0, atol=1e-3))
+            self.assertEqual(ar_scene.aruco_markers_group.places[0].marker.identifier, 0)
+
+            self.assertIsNone(numpy.testing.assert_allclose(ar_scene.aruco_markers_group.places[1].corners[0], [0., 2.5, -1.5], rtol=0, atol=1e-3))
+            self.assertEqual(ar_scene.aruco_markers_group.places[1].marker.identifier, 1)
+
+             # Check layers and AOI scene 
+            self.assertEqual(len(ar_scene.layers.items()), 1)
+            self.assertEqual(len(ar_scene.layers["Main"].aoi_scene), 1)
+            self.assertEqual(ar_scene.layers["Main"].aoi_scene['Test'].points_number, 4)
+
+            # Check ArScene
+            self.assertEqual(ar_scene.angle_tolerance, 1.0)
+            self.assertEqual(ar_scene.distance_tolerance, 2.0)
         
 if __name__ == '__main__':
 
diff --git a/src/argaze.test/ArUcoMarkers/utils/aruco_camera.json b/src/argaze.test/ArUcoMarkers/utils/aruco_camera.json
index 7648916..980dc9f 100644
--- a/src/argaze.test/ArUcoMarkers/utils/aruco_camera.json
+++ b/src/argaze.test/ArUcoMarkers/utils/aruco_camera.json
@@ -1,10 +1,10 @@
 {
 	"name": "TestArUcoCamera",
+    "size": [1920, 1080],
     "aruco_detector": {
     	"dictionary": {
             "name": "DICT_ARUCO_ORIGINAL"
         },
-    	"marker_size": 3.0,
     	"optic_parameters": {
             "rms": 1.0,
             "dimensions": [
@@ -45,45 +45,54 @@
     "scenes": {
         "TestSceneA" : {
             "aruco_markers_group": {
-                "marker_size": 3.0,
-                "dictionary": {
-                    "name": "DICT_ARUCO_ORIGINAL"
-                },
+                "dictionary": "DICT_ARUCO_ORIGINAL",
                 "places": {
                     "0": {
                         "translation": [1, 0, 0],
-                        "rotation": [0, 0, 0]
+                        "rotation": [0, 0, 0],
+                        "size": 3.0
                     },
                     "1": {
                         "translation": [0, 1, 0],
-                        "rotation": [0, 90, 0]
+                        "rotation": [0, 90, 0],
+                        "size": 3.0
                     }
                 }
             },
-            "aoi_scene": "aoi.obj",
+            "layers": {
+                "Main" : {
+                    "aoi_scene": "aoi_3d.obj"
+                }
+            },
             "angle_tolerance": 1.0,
             "distance_tolerance": 2.0
         },
         "TestSceneB" : {
             "aruco_markers_group": {
-                "marker_size": 3.0,
-                "dictionary": {
-                    "name": "DICT_ARUCO_ORIGINAL"
-                },
+                "dictionary": "DICT_ARUCO_ORIGINAL",
                 "places": {
                     "0": {
                         "translation": [1, 0, 0],
-                        "rotation": [0, 0, 0]
+                        "rotation": [0, 0, 0],
+                        "size": 3.0
                     },
                     "1": {
                         "translation": [0, 1, 0],
-                        "rotation": [0, 90, 0]
+                        "rotation": [0, 90, 0],
+                        "size": 3.0
                     }
                 }
             },
-            "aoi_scene": "aoi.obj",
+            "layers": {
+                "Main" : {
+                    "aoi_scene": "aoi_3d.obj"
+                }
+            },
             "angle_tolerance": 1.0,
             "distance_tolerance": 2.0
         }
+    },
+    "layers": {
+        "Main": {}
     }
 }
\ No newline at end of file
diff --git a/src/argaze.test/GazeAnalysis/DispersionThresholdIdentification.py b/src/argaze.test/GazeAnalysis/DispersionThresholdIdentification.py
index 311f31b..156f6f1 100644
--- a/src/argaze.test/GazeAnalysis/DispersionThresholdIdentification.py
+++ b/src/argaze.test/GazeAnalysis/DispersionThresholdIdentification.py
@@ -113,9 +113,6 @@ class TestDispersionThresholdIdentificationClass(unittest.TestCase):
         gaze_movement_identifier = DispersionThresholdIdentification.GazeMovementIdentifier(deviation_max_threshold=deviation_max, duration_min_threshold=max_time*2)
         ts_fixations, ts_saccades, ts_status = gaze_movement_identifier.browse(ts_gaze_positions)
 
-        # DEBUG
-        print(gaze_movement_identifier)
-
         # Check result size
         self.assertEqual(len(ts_fixations), 1)
         self.assertEqual(len(ts_saccades), 0)
diff --git a/src/argaze.test/GazeFeatures.py b/src/argaze.test/GazeFeatures.py
index e678093..c0c014c 100644
--- a/src/argaze.test/GazeFeatures.py
+++ b/src/argaze.test/GazeFeatures.py
@@ -31,9 +31,6 @@ def random_gaze_positions(size, frame_dimension: tuple[float, float] = (1, 1)):
         # Edit gaze position
         random_gaze_position = GazeFeatures.GazePosition((random.random() * frame_dimension[0], random.random() * frame_dimension[1]), precision=5)
 
-        # DEBUG
-        print('random_gaze_position', type(random_gaze_position), random_gaze_position.__class__.__bases__)
-
         # Timestamp gaze position
         random_gaze_position.timestamp = time.time()