FIX: changing model type so that the test doesn't file for landmark d…

…etection

giskard_vision/landmark_detection/detectors/cropping_detector.py

@@ -6,7 +6,7 @@
 from .base import LandmarkDetectionBaseDetector
 
 
-@maybe_detector("cropping_landmark", tags=["vision", "face", "landmark", "transformed", "cropped"])
+@maybe_detector("cropping_landmark", tags=["vision", "face", "landmark_detection", "transformed", "cropped"])
 class CroppingDetectorLandmark(LandmarkDetectionBaseDetector):
     """
     Detector that evaluates models performance relative to a facial part

giskard_vision/landmark_detection/detectors/metadata_detector.py

@@ -8,6 +8,6 @@
 from .specs import DetectorSpecs
 
 
-@maybe_detector("metadata_landmark", tags=["vision", "face", "landmark", "metadata"])
+@maybe_detector("metadata_landmark", tags=["vision", "face", "landmark_detection", "metadata"])
 class MetaDataScanDetectorLandmark(DetectorSpecs, MetaDataScanDetector):
     surrogates = [SurrogateVolumeConvexHull, SurrogateNME]

giskard_vision/landmark_detection/detectors/transformation_resize_detector.py

@@ -5,7 +5,7 @@
 from .base import LandmarkDetectionBaseDetector
 
 
-@maybe_detector("resize_landmark", tags=["vision", "face", "landmark", "transformed", "resized"])
+@maybe_detector("resize_landmark", tags=["vision", "face", "landmark_detection", "transformed", "resized"])
 class TransformationResizeDetectorLandmark(LandmarkDetectionBaseDetector):
     """
     Detector that evaluates models performance on resized images

giskard_vision/landmark_detection/models/base.py

@@ -13,7 +13,7 @@
 class FaceLandmarksModelBase(ModelBase):
     """Abstract class that serves as a template for all landmark model predictions"""
 
-    model_type = "landmark"
+    model_type = "landmark_detection"
     prediction_result_cls = Types.prediction_result
 
     def __init__(self, n_landmarks: int, n_dimensions: int, name: Optional[str] = None) -> None: