diff --git a/aipipeline/projects/bio/config/sdcat.ini b/aipipeline/projects/bio/config/sdcat.ini index 1236f7d..72af908 100644 --- a/aipipeline/projects/bio/config/sdcat.ini +++ b/aipipeline/projects/bio/config/sdcat.ini @@ -56,7 +56,7 @@ min_saliency = 30 clahe = False # These classes are the ones that showed the best performance in hustvl/yolos-small vits_model for general detection ;allowable_classes = person,airplane,boat,bird,kite,surfboard,dog,frisbee,horse,tennis ball,sports ball,animal -# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections +# By setting class_agnostic to True, the detection model will not use the class information to filter out detections class_agnostic = False # Leave blank for all classes allowable_classes = diff --git a/aipipeline/projects/cfe/config/sdcat.ini b/aipipeline/projects/cfe/config/sdcat.ini index aa196b4..25798e1 100644 --- a/aipipeline/projects/cfe/config/sdcat.ini +++ b/aipipeline/projects/cfe/config/sdcat.ini @@ -55,7 +55,7 @@ min_saliency = 30 clahe = False # These classes are the ones that showed the best performance in hustvl/yolos-small vits_model for general detection ;allowable_classes = person,airplane,boat,bird,kite,surfboard,dog,frisbee,horse,tennis ball,sports ball,animal -# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections +# By setting class_agnostic to True, the detection model will not use the class information to filter out detections class_agnostic = False # Leave blank for all classes allowable_classes = diff --git a/aipipeline/projects/i2map/config/sdcat.ini b/aipipeline/projects/i2map/config/sdcat.ini index ea8411a..96685ff 100644 --- a/aipipeline/projects/i2map/config/sdcat.ini +++ b/aipipeline/projects/i2map/config/sdcat.ini @@ -61,7 +61,7 @@ block_size = 39 min_std = 5.0 # These classes are the ones that showed the best performance in hustvl/yolos-small vits_model for general detection allowable_classes = person,airplane,boat,bird,kite,surfboard,dog,frisbee,horse,tennis ball,sports ball,animal -# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections +# By setting class_agnostic to True, the detection model will not use the class information to filter out detections class_agnostic = True # Leave blank for all classes # allowable_classes = diff --git a/aipipeline/projects/i2mapbulk/config/sdcat.ini b/aipipeline/projects/i2mapbulk/config/sdcat.ini index e044736..38e8ded 100644 --- a/aipipeline/projects/i2mapbulk/config/sdcat.ini +++ b/aipipeline/projects/i2mapbulk/config/sdcat.ini @@ -61,7 +61,7 @@ block_size = 39 min_std = 5.0 # These classes are the ones that showed the best performance in hustvl/yolos-small vits_model for general detection allowable_classes = person,airplane,boat,bird,kite,surfboard,dog,frisbee,horse,tennis ball,sports ball,animal -# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections +# By setting class_agnostic to True, the detection model will not use the class information to filter out detections class_agnostic = True # Leave blank for all classes # allowable_classes = diff --git a/aipipeline/projects/m3/config/sdcat.ini b/aipipeline/projects/m3/config/sdcat.ini index bd833a6..674c9f1 100644 --- a/aipipeline/projects/m3/config/sdcat.ini +++ b/aipipeline/projects/m3/config/sdcat.ini @@ -53,7 +53,7 @@ min_saliency = 30 clahe = False # These classes are the ones that showed the best performance in hustvl/yolos-small vits_model for general detection ;allowable_classes = person,airplane,boat,bird,kite,surfboard,dog,frisbee,horse,tennis ball,sports ball,animal -# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections +# By setting class_agnostic to True, the detection model will not use the class information to filter out detections class_agnostic = False # Leave blank for all classes allowable_classes = diff --git a/aipipeline/projects/uav/config/sdcat.ini b/aipipeline/projects/uav/config/sdcat.ini index 40f4339..5160f99 100644 --- a/aipipeline/projects/uav/config/sdcat.ini +++ b/aipipeline/projects/uav/config/sdcat.ini @@ -60,7 +60,7 @@ block_size = 39 # The minimum standard deviation of the detection found by the saliency detection to be considered # Set to 0 to keep all detections. 8.0 is a good value for general detection, 5.0 is more conservative min_std = 4.0 -# By setting class_agnostic to True, the vits_model will not use the class information to filter out detections +# By setting class_agnostic to True, the detection model will not use the class information to filter out detections class_agnostic = False # Leave blank for all classes allowable_classes = Pinniped,Batray,Bird,Egregia,Buoy,Shark,Person,Mooring,Otter,Boat,Kelp,Mola,Jelly,Whale,RIB