perf(uav): increase min saliency to 300 in detect

aipipeline/projects/uav/config/sdcat.ini

@@ -49,7 +49,7 @@ model = MBARI-org/mbari-uav-vit-b-16
 ########################################################################
 max_area = 5000000
 min_area = 50
-min_saliency = 100
+min_saliency = 300
 # Run the CLAHE algorithm to contrast enhance before detection useful images with non-uniform lighting
 clahe = False
 # This will be used to threshold the image before detection and clustering. Make sure it is large enough to capture
@@ -58,8 +58,6 @@ 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
-# These classes are the ones that showed the best performance in hustvl/yolos-small 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 model will not use the class information to filter out detections
 class_agnostic = False
 # Leave blank for all classes